To see the other types of publications on this topic, follow the link: Infrared distance sensor.
Journal articles on the topic 'Infrared distance sensor'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Infrared distance sensor.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Abdullah, Rawaz H. "Distance Measurement using an Infrared Distance Sensor Based on Lagrange and Newton Interpolating Polynomials." Journal of Zankoy Sulaimani - Part A 17, no. 3 (April 19, 2015): 149–60. http://dx.doi.org/10.17656/jzs.10408.
Full text
2
Lokman, Amar, Kirenraj Rajendran, and R. Kanesaraj Ramasamy. "The accuracy of Infrared sensor detection in a smart toilet." F1000Research 10 (September 21, 2021): 949. http://dx.doi.org/10.12688/f1000research.73086.1.
Full textAbstract:
Background: Infrared (IR) sensors are useful tools for detecting distance and proximity. However, these sensors are not good at detecting edges of an area, therefore when used in a smart toilet it has difficulty in detecting the orientation and position of the user’s body. The aim of this study was to design an IR sensor for a smart toilet with a more accurate and consistent detection. Methods: A total of 12(six men and six women) participants with different body types were involved in this study. IR sensor detection was tested in the sitting and squatting toilets. For the best accuracy, the IR sensor's angle was measured. Red, blue, and red-blue plastic covers were used, as these colors improve precision. The microcontroller was set up to calculate the participant’s distance and presence in the cubicle. Results: Toilet positioning varied greatly depending on whether one is sitting or squatting. For sitting toilet, the red cover was close to the accurate distance at a 172˚ angle. IR detected a man but not a woman's body. The blue cover provided the same best angle of 172˚ with a higher sensor distance. When the red and blue cover combination was applied, the reading of 141cm detected both men and women, at 172˚ angle. The actual distance for squatting toilets was 158cm. The optimal angle for both red and blue covers was 176˚, however the sensor distance was greater for the blue cover. Finally, the red and blue cover combination gave a more accurate distance of up to 163cm from the actual reading, when detecting both genders at a normal angle of 76˚. Conclusion: The combination of red and blue cover gave the most accurate detection for the squatting and sitting toilets. The best angle for sitting was 172˚, and for squatting was 176˚.
3
Walczykowski, P., A. Orych, A. Jenerowicz, and P. Karcz. "Evaluating sensor linearity of chosen infrared sensors." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (November 7, 2014): 421–24. http://dx.doi.org/10.5194/isprsarchives-xl-1-421-2014.
Full textAbstract:
The paper describes a series of experiments conducted as part of the IRAMSWater Project, the aim of which is to establish methodologies for detecting and identifying pollutants in water bodies using aerial imagery data. The main idea is based on the hypothesis, that it is possible to identify certain types of physical, biological and chemical pollutants based on their spectral reflectance characteristics. The knowledge of these spectral curves is then used to determine very narrow spectral bands in which greatest reflectance variations occur between these pollutants. A frame camera is then equipped with a band pass filter, which allows only the selected bandwidth to be registered. In order to obtain reliable reflectance data straight from the images, the team at the Military University of Technology had developed a methodology for determining the necessary acquisition parameters for the sensor (integration time and f-stop depending on the distance from the scene and it's illumination). This methodology however is based on the assumption, that the imaging sensors have a linear response. This paper shows the results of experiments used to evaluate this linearity.
4
Huang, Jinyong, and Zhe Li. "Infrared-based Short-Distance FSO Sensor Network System." International Journal of Online and Biomedical Engineering (iJOE) 14, no. 12 (December 23, 2018): 43. http://dx.doi.org/10.3991/ijoe.v14i12.9493.
Full textAbstract:
Energy consumption is one of the major problems in the development of Wireless Sensor Network (WSN). Under certain application conditions, Free Space Optical (FSO) communication can effectively reduce system energy consumption. Combining the need of the short-distance communication in the cooperative control of the mobile robot, this paper focuses on the study for the infrared FSO communication method and devices. Eight infrared-transmitting and receiving modules with the angular spacing 45° were deployed to realize the omnidirectional communication. The systematic measurement shows that the designed communication system can effectively carry out data transmission within a distance of 14 meters when the bit error ratio (BER) is 0%. Through the link budget analysis, the theoretical transmission distance of the design system is about 24 meters, only accounting for 60% of the communication module data manual, and the BER rises rapidly as the distance increases. The analysis of the oscilloscope observation results indicates that due to the attenuation caused by each medium (mainly moisture, dust, etc.) in the propagation path, the BER rapidly increases when the distance increases. Therefore, based on the test results, this system is applicable for constructing a short-distance wireless sensor network to meet the needs of cooperative control of mobile robots, without involving the complicated pointing process.
5
Liu, Yan Ju, Chun Xiang Xie, and Jian Hui Song. "Research on Fusion Tracking Technology in Heterogeneous Multi-Sensor." Advanced Materials Research 1056 (October 2014): 158–61. http://dx.doi.org/10.4028/www.scientific.net/amr.1056.158.
Full textAbstract:
Heterogeneous multi-sensor’s fusion tracking can detect precise distance and angle to the target. For heterogeneous multi-sensor issues, radar, infrared sensor and laser sensor’s data fusion, and target tracking are studied, weighted fusion algorithm based on Lagrange and unscented kalman filter are adopted, which make date fusion and tracking filtering for target. Simulation results show that the radar / infrared / laser sensors can realize data fusion and tracking to the target, and the accuracy is significantly higher than radar and infrared/laser, and then tracking effect is better.
6
Li, Wenbin, Yaxin Li, Walid Darwish, Shengjun Tang, Yuling Hu, and Wu Chen. "A Range-Independent Disparity-Based Calibration Model for Structured Light Pattern-Based RGBD Sensor." Sensors 20, no. 3 (January 23, 2020): 639. http://dx.doi.org/10.3390/s20030639.
Full textAbstract:
Consumer-grade RGBD sensors that provide both colour and depth information have many potential applications, such as robotics control, localization, and mapping, due to their low cost and simple operation. However, the depth measurement provided by consumer-grade RGBD sensors is still inadequate for many high-precision applications, such as rich 3D reconstruction, accurate object recognition and precise localization, due to the fact that the systematic errors of RGB sensors increase exponentially with the ranging distance. Most existing calibration models for depth measurement must be carried out with different distances. In this paper, we reveal the mechanism of how an infrared (IR) camera and IR projector contribute to the overall non-centrosymmetric distortion of a structured light pattern-based RGBD sensor. Then, a new two-step calibration method for RGBD sensors based on the disparity measurement is proposed, which is range-independent and has full frame coverage. Three independent calibration models are used for the calibration for the three main components of the RGBD sensor errors: the infrared camera distortion, the infrared projection distortion, and the infrared cone-caused bias. Experiments show the proposed calibration method can provide precise calibration results in full-range and full-frame coverage of depth measurement. The offset in the edge area of long-range depth (8 m) is reduced from 86 cm to 30 cm, and the relative error is reduced from 11% to 3% of the range distance. Overall, at far range the proposed calibration method can improve the depth accuracy by 70% in the central region of depth frame and 65% in the edge region.
7
Hoang, Thu Trang, Van Dai Pham, Thanh Son Pham, Khai Q. Le, and Quang Minh Ngo. "Sensitive Near-Infrared Refractive Index Sensors Based on D-Shaped Photonic Crystal Fibers." Journal of Nanoscience and Nanotechnology 21, no. 11 (November 1, 2021): 5535–41. http://dx.doi.org/10.1166/jnn.2021.19469.
Full textAbstract:
We report a numerical study of D-shaped photonic crystal fiber based plasmonic refractive index sensor with high resolution and sensitivity in the near-infrared region. D-shaped photonic crystal fiber is formed by side polishing one part of photonic crystal fiber. It has a polishing surface where plasmonic gold layer is coated to modulate the resonant wavelength and enhance the refractive index sensitivity. Several D-shaped photonic crystal fiber plasmonic sensors with various distances from the photonic crystal fiber’s core to the polishing surface and gold thicknesses are designed and their characteristics are analyzed by the finite element method. The simulation results indicate that distance from the photonic crystal fiber’s core to the polishing surface causes modifications in the loss intensity, the resonant wavelength, and the refractive index sensitivity of D-shaped photonic crystal fiber plasmonic sensor. Mass production of refractive index sensors were achieved using a simple fabrication process, whereby the D-shaped photonic crystal fiber is grinded where distance from the photonic crystal fiber’s core to the polishing surface is less than one layer thickness and then coated with the gold layer. For the refractive index sensing applications, the maxima theoretical resolution and sensitivity of D-shaped photonic crystal fiber plasmonic sensor reach 2.98 × 10 6refractive index unit and 6,140 nm/refractive index unit in range of 1.30–1.37, respectively. We also report an initial fabrication of the D-shaped photonic crystal fiber following the standard stack-and- draw method to demonstrate the feasibility of the proposed device by using our in-house equipments. The proposed D-shaped photonic crystal fiber plasmonic sensor design in this work would be useful for the development of cheap refractive index sensors with high sensitivity and resolution.
8
Bobovský, Zdenko, Václav Krys, and Vladimír Mostýn. "Kinect v2 infrared images correction." International Journal of Advanced Robotic Systems 15, no. 1 (January 1, 2018): 172988141875578. http://dx.doi.org/10.1177/1729881418755780.
Full textAbstract:
This article presents a novel correction filter for infrared images captured by Kinect v2 sensor. Intended application areas are described and the basic concept of proposed sensory subsystem as well. Preliminary tests of the sensor Kinect v2 in real conditions gave promising results, therefore in-depth analysis of its applicability was performed. In the framework of the analysis, a relation between infrared value and a distance of captured surface was evaluated for different colors of the surface. Based on that relation and on additional information about the depth of a pixel, a correction filter was created. The filter allows improving infrared image in order to increase the success rate probability to be able to detect specific features and key points by algorithms more easily. Outputs from the filter on real conditions data sets are also presented in the article.
9
Klimenda, Frantisek, Roman Cizek, Matej Pisarik, and Jan Sterba. "Stopping the Mobile Robotic Vehicle at a Defined Distance from the Obstacle by Means of an Infrared Distance Sensor." Sensors 21, no. 17 (September 5, 2021): 5959. http://dx.doi.org/10.3390/s21175959.
Full textAbstract:
The article deals with the creation of a program for stopping an autonomous robotic vehicle Robotino® 4. generation at a defined distance from an obstacle. One of the nine infrared distance sensors located on the frame of the robotic vehicle in the front part of the frame is used for this application task. The infrared distance sensor characteristic is created from the measured experimental data, which is then linearized in the given section. The main aim of the experiment is to find such an equation of a line that corresponds to the stopping of a robotic vehicle with a given accuracy from an obstacle. The determined equation of the line is applied to the resulting program for autonomous control of the robotic vehicle. This issue is one of the many tasks performed by AGV in the industry. The introduction of AGVs into the industry is one of the many possibilities within Industry 4.0.
10
Kim, Byoung-Ho. "Design and Analysis of Collision Alarm Using Infrared Distance Sensor." Journal of Korean Institute of Intelligent Systems 24, no. 6 (December 25, 2014): 634–39. http://dx.doi.org/10.5391/jkiis.2014.24.6.634.
Full text
11
Fei, Ji You, Hua Li, and Bin Gao. "Based on the Single Chip Microcomputer Atmega168 Robot Control System Design." Applied Mechanics and Materials 341-342 (July 2013): 700–703. http://dx.doi.org/10.4028/www.scientific.net/amm.341-342.700.
Full textAbstract:
based on the single chip microcomputer atmega168 robot control system design This paper introduces using micro controller, many sensors, such as ultrasonic distance measuring sensor, infrared range sensor, infrared obstacle avoidance sensor, and also using motor driving module and dc motor design a robot which can operate independently, The robot can detect its own attitude, obstacles, competition venues edge automatically, then according to signal which the sensor feedback to micro controller controlling the motor produce pushing or avoid action. In the design of the robot, we using the sensor redundancy design positioning obstacles in front of robot, we take full advantage of the proximity detector features in order to make the robot highly efficient and stable operation. The robot in the experiment operating in good condition, and it has reference significance for robot design.
12
Lázaro, José L., Angel E. Cano, Pedro R. Fernández, and Carlos A. Luna. "Sensor for Distance Estimation Using FFT of Images." Sensors 9, no. 12 (December 22, 2009): 10434–46. http://dx.doi.org/10.3390/s91210434.
Full textAbstract:
In this paper, the problem of how to estimate the distance between an infrared emitter diode (IRED) and a camera from pixel grey-level intensities is examined from a practical standpoint. Magnitudes that affect grey level intensity were defined and related to the zero frequency component from the FFT image. A general model was also described and tested for distance estimation over the range from 420 to 800 cm using a differential methodology. Method accuracy is over 3%.
13
Jung, Jong-Jin. "Validity of Bench Test Method for Infrared Flame Detector." Fire Science and Engineering 35, no. 1 (February 28, 2021): 150–55. http://dx.doi.org/10.7731/kifse.382497c3.
Full textAbstract:
In this study, the validity of an indoor bench test to replace and overcome the limitations of the real-range test, an infrared flame detector sensitivity test, was analyzed. A micro burner (diameter 6 mm) was used to substitute for the infrared flame detector. In order to measure the amount of light by distance, the voltage at the output end of the IR sensor was acquired. In addition, normal heptane (n-heptane) was used as a fuel for the actual distance experiment, and the amount of light at each distance was measured using an IR sensor. A bench tester was developed to measure the light output characteristics of infrared flame detectors by distance inside, and the actual distance optical characteristics from outside were measured and compared. As a result, both methods were able to confirm the same optical characteristics by distance. This study confirmed the validity of the bench test method conducted inside, which can replace the experiment at the actual distance conducted to confirm the performance of the infrared flame detector. If this test method is used in the future, it is believed the flame detector will improve product quality and development.
14
Li, Jianqing, Changsheng Gao, Tianming Feng, and Wuxing Jing. "Error Correction of Infrared Earth Radiance for Autonomous Navigation." Journal of Navigation 69, no. 6 (September 14, 2016): 1427–37. http://dx.doi.org/10.1017/s0373463316000424.
Full textAbstract:
A strapdown inertial navigation system and celestial navigation system integrated autonomous navigation scheme is proposed in this paper, using the navigation information obtained from Earth sensors and star sensors. To eliminate the adverse effect caused by the asymmetry of Earth infrared radiance, the relationship between Earth infrared radiance brightness and effective horizon height is found. According to the relationship as well as the measuring principle of the Earth sensor, this paper derives a function to correct the measurement of the Earth sensor. Then, the angle-distance of stars can be calculated, and using this information, we can estimate the navigation information of a ballistic missile by least square estimation. The simulation results show that the error of Earth infrared radiance has a great effect on the navigation precision, and by using the correction scheme, this adverse effect can be greatly mitigated. This correction scheme is available and effective.
15
Tharmakularajah, Lakshan, Jakob Döring, and Karl-Ludwig Krieger. "Infrared-based sensor system for contactless monitoring of wetness and ice." Journal of Sensors and Sensor Systems 9, no. 1 (April 17, 2020): 133–41. http://dx.doi.org/10.5194/jsss-9-133-2020.
Full textAbstract:
Abstract. In order to differentiate between a wet and a dry road surface, the water film height should be measured by using an infrared-based sensor system. By means of different wavelengths, it is also possible to distinguish between ice and water. In this article, a sensor system for the determination of the physical state of water on different surfaces using infrared LEDs and one photodiode is presented. This shall serve as a basis for the calculation of the road condition. Here, emitted and reflected signals of five different infrared emitters are acquired with an infrared receiver. In commercial sensors this method (operating with one emitter) is used to determine a distance. At a constant distance, different intensities of the reflected signal are measured depending on the colour and texture of the surface. Similar sensor systems work with a broadband light, usually a halogen lamp, and several photodiodes. This type of sensor system is more cost-intensive and not robust enough for the desired application. The transmission spectrum of water shows that light is absorbed at a wavelength of 900 nm and strongly at a wavelength of about 1.4–1.5 µm. From the absorption spectrum of ice, it can be concluded that the wavelengths up to 1.4 µm are absorbed less than the wavelength at 1.5 µm. Therefore, the intensity depends not only on the material surface, but also on the wavelength of the transmitting and receiving diode. In order to distinguish between ice and water, the intensities of the light at the wavelengths 1.45 and 1.55 µm are compared, which is shown in this article by the measurements. In ice, the infrared light is more strongly absorbed at 1.55 µm.
16
Chen, Shu-Jung, and Bin Chen. "Research on a CMOS-MEMS Infrared Sensor with Reduced Graphene Oxide." Sensors 20, no. 14 (July 18, 2020): 4007. http://dx.doi.org/10.3390/s20144007.
Full textAbstract:
In this research, a new application of reduced graphene oxide (rGO) for a complementary metal-oxide-semiconductor (CMOS)-MEMS infrared (IR) sensor and emitter is proposed. Thorough investigations of IR properties including absorption and emission were proceeded with careful calibration and measurement with a CMOS thermoelectric sensor. The thermocouples of the sensor consist of aluminum and n-polysilicon layers which are fabricated with the TSMC 0.35 μm CMOS process and MEMS post-process. In order to improve the adhesion of rGO, a sensing area at the center of the membrane is formed with an array of holes, which is easy for the drop-coating of rGO material upon the sensing region. To evaluate the performance of the IR sensor with rGO, different conditions of the IR thermal radiation experiments were arranged. The results show that the responsivity of our proposed CMOS-MEMS IR sensor with rGO increases by about 77% compared with the sensor without rGO. For different IR absorption incident angles, the measurement of field of view shows that the CMOS-MEMS IR sensor with rGO has a smaller view angle, which can be applied for the application of long-distance measuring. In addition, characteristics of the proposed thermopile are estimated and analyzed with comparisons to the available commercial sensors by the experiments.
17
Marcus, Logan S., Ellen L. Holthoff, and Paul M. Pellegrino. "Standoff Photoacoustic Spectroscopy of Explosives." Applied Spectroscopy 71, no. 5 (June 23, 2016): 833–38. http://dx.doi.org/10.1177/0003702816654168.
Full textAbstract:
Detection and identification of unknown and possibly hazardous materials is a vital area of research to which infrared (IR) spectroscopy is ideally suited. Infrared absorption spectra can be measured with many sensing paradigms of which photoacoustic spectroscopy (PAS) is a sensitive and flexible variant. The flexibility of PAS allows for the construction of narrowly tailored spectroscopic sensors that are designed for specific tasks. We discuss the evaluation of an interferometric PAS sensor by the measurement of common explosive hazards from a standoff distance of 1 m. Reproduction of IR absorption spectra for 1,3,5-trinitroperhydro-1,3,5-triazine (RDX), pentaerythritol tetranitrate (PETN), and 2,4,6-trinitrotoluene (TNT) demonstrate the capabilities of the interferometric sensor for standoff explosives detection.
18
Zhang, Cong, Dongguang Li, Jiashuo Qi, Jingtao Liu, and Yu Wang. "Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor." Sensors 21, no. 13 (July 1, 2021): 4522. http://dx.doi.org/10.3390/s21134522.
Full textAbstract:
Due to the complexity of background and diversity of small targets, robust detection of infrared small targets for the trajectory correction fuze has become a challenge. To solve this problem, different from the traditional method, a state-of-the-art detection method based on density-distance space is proposed to apply to the trajectory correction fuze. First, parameters of the infrared image sensor on the fuze are calculated to set the boundary limitations for the target detection method. Second, the density-distance space method is proposed to detect the candidate targets. Finally, the adaptive pixel growth (APG) algorithm is used to suppress the clutter so as to detect the real targets. Three experiments, including equivalent detection, simulation and hardware-in-loop, were implemented to verify the effectiveness of this method. Results illustrated that the infrared image sensor on the fuze has a stable field of view under rotation of the projectile, and could clearly observe the infrared small target. The proposed method has superior anti-noise, different size target detection, multi-target detection and various clutter suppression capability. Compared with six novel algorithms, our algorithm shows a perfect detection performance and acceptable time consumption.
19
Zhang, Xipeng, Hiroaki Seki, and Masatoshi Hikizu. "Detection of Human Position and Motion by Thermopile Infrared Sensor." International Journal of Automation Technology 9, no. 5 (September 5, 2015): 580–87. http://dx.doi.org/10.20965/ijat.2015.p0580.
Full textAbstract:
Devices such as pyroelectric infrared sensors, ultrasonic sensors, cameras can be used to detect the presence of human-beings, but their systems have some problems related to low detection ability, low resolution, privacy, and high cost. We propose the use of thermopile infrared sensors without focus lenses and with high-gain amplifiers to detect the position and movement of human subjects. The system can detect even people that are not moving. This paper presents an approach that uses two thermopile sensors mounted on the ceiling to detect in 2D the position and orientation of human bodies. After each sensor takes measurements, we can build an approximate equation set that takes into account the output voltage, distance, and orientation of the human presence. The equation set can be solved, using the steepest descent method for the outputs of the two sensors, to obtain in real-time the position of a human-being in 2D. Body orientation can also be basically obtained by detecting slight changes in some positions while the human subject is moving. Tests are carried out to confirm that the proposed system works.
20
Bum, Kwongoo, Sang-Hyon OH, and Donghoon Lee. "PSIII-7 Analysis of sow postures using infrared sensors." Journal of Animal Science 97, Supplement_3 (December 2019): 186–87. http://dx.doi.org/10.1093/jas/skz258.385.
Full textAbstract:
Abstract The health of the sow is crucial in determining the economic success of swine producers. Sows spend most of their time standing, and due to their heavy weight, they are exposed to more leg injuries compared to other livestock. Frequent observations are required to examine the body structure of sows to provide appropriate treatment, but such observations are done manually by technicians. Considering the lack and high price of labor, an automated investigation system that examines the body structure would greatly benefit sow farms. Various technologies for animal health have been introduced and used in the livestock field to construct a successful smart farm. This study aims to present an assessment method applied to an individual sow using sensor technology, suggesting a system to observe various postures of sows, which help producers decide leg injuries or bad health symptoms in real time. The system consists of 8 infrared distance sensors: three that point from the front, two from the middle, and three from the rear side. To compare the postures of normal and abnormal sows, one sow was normally treated and the other was injected with 70% of dextrose at 9 am every day. During 28 days of experimentation, the normal sow showed 39 minutes of movement on average per day for 8 days at sensor 3 and 97 minutes a day for 17 days at sensor 5. The abnormal sow showed 97 minutes a day for 21 days at sensor 3 and 215 minutes a day for 27 days at sensor 5, which were significantly different from the normal sow (P < 0.05). Simultaneous movements at low levels of the front and middle sensors could help differentiate between normal and abnormal individuals. Such a promising system could serve as a vital indicator for animal health and maximize livestock farm revenue.
21
Parfenov, V. I., and V. D. Le. "Application of a wireless sensor system for object protection using infrared sensors." Computer Optics 45, no. 3 (June 2021): 364–71. http://dx.doi.org/10.18287/2412-6179-co-788.
Full textAbstract:
In this work, an algorithm that makes decisions on whether or not an object under protection has been penetrated based on data from infrared (IR) sensors included in a wireless sensor system is considered. Based on theoretical considerations, methods for calculating the attenuation of infrared radiation by the medium, including attenuation due to molecular gases and aerosol attenuation, are presented. Peculiarities of the external environment impact on the functioning of local heat sensors are shown. Also, peculiarities of the noise immunity characteristics of a radio communication channel are considered with due regard for signal fading. With the purpose of analyzing the environment impact on the efficiency of the entire system, we present dependencies of the total error probability on the energy parameter, taking into account the attenuation of infrared radiation in both the environment at the level of local sensors and the radio communication channel. In addition, a dependence of the total error probability on the communication distance under the influence of fading is presented. The results arrived at are analyzed and the degree of influence of the environment on the quality of functioning of the wireless sensor system of thermal type is evaluated. It is shown that adverse weather conditions can have a significant impact on the efficiency of local sensors, and, hence the entire system. However, despite the possible significant deterioration in efficiency due to the IR signal attenuation in the medium and in the radio channel, the efficiency can be increased by increasing the number of sensors used.
22
Chen, Zhangjie, and Ya Wang. "Infrared–ultrasonic sensor fusion for support vector machine–based fall detection." Journal of Intelligent Material Systems and Structures 29, no. 9 (March 1, 2018): 2027–39. http://dx.doi.org/10.1177/1045389x18758183.
Full textAbstract:
This article presents an infrared–ultrasonic sensor fusion approach for support vector machine–based fall detection, often required by elderly healthcare. Its detection algorithms and performance evaluation are detailed. The location, size, and temperature profile of the user can be estimated based on a novel sensory fusion algorithm. Different feature sets of the support vector machine–based machine learning algorithm are analyzed and their impact on fall detection accuracy is evaluated and compared empirically. Experiments study three non-fall activities, standing, sitting, and stooping, and two fall actions, forward falling and sideway falling, to simulate daily activities of the elderly. Fall detection accuracy studies are performed based on discretely and continuously (closer to reality) recorded experimental data, respectively. For the discrete data recording, an average accuracy of 92.2% is achieved when the stand-alone Grid-EYE is used and the accuracy is increased to 96.7% when sensor fusion is used. For the continuous data recording (180 training sets, 60 test sets at each distance), an average accuracy less than 70.0% is achieved when the stand-alone Grid-EYE is used and the accuracy is increased to around 90.3% after sensor fusion. New features will be explored in the next step to further increase detection accuracy.
23
Rochman, Sagita, and Bagus Ilham Yunianto. "PROTOTYPE AUTOMATIC LIGHTS CONTROL SYSTEM IN THE MOSQUE AREA BASED ON ARDUINO NANO." BEST : Journal of Applied Electrical, Science, & Technology 1, no. 1 (April 1, 2019): 32–35. http://dx.doi.org/10.36456/best.vol1.no1.2022.
Full textAbstract:
To turn on and turn off lights in the mosque area in general still use a manual system that is to turn off and turn on the lights using a switch located on the wall. Therefore, currently a system that has been designed automatically is needed to control the light of life and the outages of lights based on a predetermined time and based on the detection of human presence, so that the lights will turn on and off automatically at the set time according to needs, namely using Real Time Clock (RTC) and Passive Infrared Receiver (PIR) sensors. The results obtainedin the form of a light controller system in the area of the mosque using DS3231 RTC and Arduino Nano At mega 328P PIR Sensor. At 3:00 and 17:00 the condition of the lights is on and at 05:30 and 21:00 the lights are off. For the measurement of PIR sensor detection distance, the distance of 5 meters of the PIR sensor can still detect the presence of human movements, after 5 meters or even 6 meters of the PIR sensor cannot detect human movement. So that within a distance of 6 meters or more, the toilet lights cannot turn on automatically or turn off.
24
Iwakura, Daisuke, and Kenzo Nonami. "Indoor Localization of Flying Robot by Means of Infrared Sensors." Journal of Robotics and Mechatronics 25, no. 1 (February 20, 2013): 201–10. http://dx.doi.org/10.20965/jrm.2013.p0201.
Full textAbstract:
Autonomous navigation of flying robots in GPSdenied environments such as indoors requires that the flying robot be able to recognize the environment using external sensors. Laser scanners and computer vision are mainly used for indoor mapping and localization in studies on indoor flight. However, such systems require higher payload capacity and processing power for the sensors. In this study, we develop a lightweight flying robot for achieving indoor autonomous flight using four infrared (IR) sensors. As the first stage of this study, we present a localization technique that involves the use of a particle filter. Two problems exist in our system. First, it is difficult to use IR sensors close to a wall, because doing so would yield faulty results when calculating distance using the sensor output voltage. To resolve this problem, we developed a probabilistic output voltage observation model. The particle filter estimates position from voltage information using this model without the use of calculated distance. The second problem is that the spatial resolution is low because only four IR sensors are used. This problem was solved by rotating the robot horizontally at all times to acquire information from various directions. The localization performance was verified experimentally using an electric turntable and a cart. In the first and second experiments, we confirmed that localization is successful even when the robot is in motion and even when the robot is flying near a wall.
25
Wang, Jun, Xi Liang Zhang, Jin Yuan, Xiao Feng Shi, and Xin Ming Gao. "Development of Universal Multi-Function Digital Remote Control Electronic Switch Based on WSN." Key Engineering Materials 464 (January 2011): 142–45. http://dx.doi.org/10.4028/www.scientific.net/kem.464.142.
Full textAbstract:
To improve electrical operational flexibility in use and save energy, a universal multi-function digital remote control electronic switch for variety of household appliances is developed by adopting wireless sensor networks and infrared sensing technology. To NRF9E5 wireless microcontroller as the core, electronic switch that formed by the remote control and a number of switch nodes forms short-distance wireless communications network. Remote control is equipped with clock circuit, buttons and LCD display; switch node with infrared sensor, human body detection circuit, relay and control circuit. Switch can be controlled by remote control, human infrared sensor or setting time. The application shows that it greatly increases operational flexibility with easily integrating with various existing electrical switches and has obvious energy saving effect.
26
Wang, Rui, Xiao Qiang Liu, Gang Wang, and Bo Fan Yang. "Infrared Image Preprocessing Based on Top-Hat Transformation and Self-Adaption Threshold Segmentation." Advanced Materials Research 1044-1045 (October 2014): 1452–58. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1452.
Full textAbstract:
Infrared targets will render as high gray-scale points in single infrared image because of small size and long distance between targets and space-based infrared sensor,which is similar to noisy points. In order to distinguish targets and noisy points, this paper presents a method of self-adaption threshold segmentation after Top-hat transformation with double structure elements, which could effectively restrain background and noisy points.
27
Zhang, Xin Xing, Yan Heng Zhang, Han Xu Sun, and Si Cheng Nian. "Detection and Control of Flexible Peristaltic Pipeline Robot in Elbow." Applied Mechanics and Materials 389 (August 2013): 789–95. http://dx.doi.org/10.4028/www.scientific.net/amm.389.789.
Full textAbstract:
In order to make the peristaltic pipeline robot go through elbow quickly and efficiently, a multi-sensor information fusion algorithm based on relation matrix and fuzzy logic control is proposed. In this method, relation matrix is adopted to fuse the information from ultrasonic sensors and infrared sensors, while fuzzy neural network is employed to make walking strategy and remove obstructions. Simulation and platform testing are designed to verify the effectiveness of this method. The test results show that this method can significantly improve distance measuring accuracy and walking efficiency.
28
Kang, Keonil, and Sang-Won Nam. "Design of A Thermopile Infrared Sensor Module with Extended Human-Body Detection Distance." Journal of the Institute of Electronics and Information Engineers 55, no. 2 (February 28, 2018): 81–88. http://dx.doi.org/10.5573/ieie.2018.55.2.81.
Full text
29
Kanwal, Nadia, Erkan Bostanci, Keith Currie, and Adrian F. Clark. "A Navigation System for the Visually Impaired: A Fusion of Vision and Depth Sensor." Applied Bionics and Biomechanics 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/479857.
Full textAbstract:
For a number of years, scientists have been trying to develop aids that can make visually impaired people more independent and aware of their surroundings. Computer-based automatic navigation tools are one example of this, motivated by the increasing miniaturization of electronics and the improvement in processing power and sensing capabilities. This paper presents a complete navigation system based on low cost and physically unobtrusive sensors such as a camera and an infrared sensor. The system is based around corners and depth values from Kinect’s infrared sensor. Obstacles are found in images from a camera using corner detection, while input from the depth sensor provides the corresponding distance. The combination is both efficient and robust. The system not only identifies hurdles but also suggests a safe path (if available) to the left or right side and tells the user to stop, move left, or move right. The system has been tested in real time by both blindfolded and blind people at different indoor and outdoor locations, demonstrating that it operates adequately.
30
Wu, Fenglang, Xinran Liu, and Yudan Wang. "Research on Software Design of Intelligent Sensor Robot System Based on Multidata Fusion." Journal of Sensors 2021 (July 2, 2021): 1–10. http://dx.doi.org/10.1155/2021/8463944.
Full textAbstract:
With the advent of robots combined with artificial intelligence, robots have become an indispensable part of production and life. Especially in recent years, the collaboration between humans and machines has become a research trend in the field of robotics, with high work efficiency and flexibility. The advantages of safety and stability make intelligent robots the best choice for the current industrial and service industries with high labor intensity and hazardous working environments. This paper is aimed at studying the software design of an intelligent sensor robot system based on multidata fusion. In this paper, through the needle robot’s high precision requirements and the problem of fast response, a path design method based on the ant colony optimization (ACO) algorithm is proposed. Path planning is performed by intelligent robots for obstacle avoidance experiments, while global optimization is performed by the ant colony optimization (ACO) algorithm. For adaptive functions including obstacle reduction and path information length, the safest and shortest path is finally achieved through the ant colony optimization (ACO) algorithm. The experimental results show that using the ant colony optimization algorithm to perform simulation experiments and preprocessing operations on the data collected by the sensor can improve the accuracy and effectiveness of the data. The ant colony algorithm performs fusion and path planning, and on the basis of ensuring accuracy, it can speed up the convergence speed. Through the data analysis of obstacle avoidance experiments of intelligent robots, it can be concluded that it is very necessary for intelligent robots to install ultrasonic sensors and infrared sensors in obstacle avoidance, because the error between the test distance of the ultrasonic sensor and the infrared sensor and the actual distance is 0.001.
31
Kutílek, Patrik, Jan Hýbl, Jakub Mareš, Vladimír Socha, and Pavel Smrčka. "A MYOELECTRIC PROSTHETIC ARM CONTROLLED BY A SENSOR-ACTUATOR LOOP." Acta Polytechnica 54, no. 3 (June 27, 2014): 197–204. http://dx.doi.org/10.14311/ap.2014.54.0197.
Full textAbstract:
This paper describes new methods and systems designed for application in upper extremity prostheses. An artificial upper limb with this system is a robot arm controlled by EMG signals and a set of sensors. The new multi-sensor system is based on ultrasonic sensors, infrared sensors, Hall-effect sensors, a CO<sub>2</sub> sensor and a relative humidity sensor. The multi-sensor system is used to update a 3D map of objects in the robot’s environment, or it directly sends information about the environment to the control system of the myoelectric arm. Occupancy grid mapping is used to build a 3D map of the robot’s environment. The multi-sensor system can identify the distance of objects in 3D space, and the information from the system is used in a 3D map to identify potential collisions or a potentially dangerous environment, which could damage the prosthesis or the user. Information from the sensors and from the 3D map is evaluated using a fuzzy expert system. The control system of the myoelectric prosthetic arm can choose an adequate reaction on the basis of information from the fuzzy expert system. The systems and methods were designed and verified using MatLab/Simulink. They are aimed for use as assistive technology for disabled people.
32
Kim, Byeong, Danish Khan, Ciril Bohak, Wonju Choi, Hyun Lee, and Min Kim. "V-RBNN Based Small Drone Detection in Augmented Datasets for 3D LADAR System." Sensors 18, no. 11 (November 8, 2018): 3825. http://dx.doi.org/10.3390/s18113825.
Full textAbstract:
A common countermeasure to detect threatening drones is the electro-optical infrared (EO/IR) system. However, its performance is drastically reduced in conditions of complex background, saturation and light reflection. 3D laser sensor LiDAR is used to overcome the problems of 2D sensors like EO/IR, but it is not enough to detect small drones at a very long distance because of low laser energy and resolution. To solve this problem, A 3D LADAR sensor is under development. In this work, we study the detection methodology adequate to the LADAR sensor which can detect small drones at up to 2 km. First, a data augmentation method is proposed to generate a virtual target considering the laser beam and scanning characteristics, and to augment it with the actual LADAR sensor data for various kinds of tests before full hardware system developed. Second, a detection algorithm is proposed to detect drones using voxel-based background subtraction and variable radially bounded nearest neighbor (V-RBNN) method. The results show that 0.2 m L2 distance and 60% expected average overlap (EAO) indexes are satisfied for the required specification to detect 0.3 m size of small drones.
33
Bhagat, Aditya. "Multi User Automated Hand Sanitizer Machine in Covid- 19." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 20, 2021): 1242–46. http://dx.doi.org/10.22214/ijraset.2021.35248.
Full textAbstract:
Coronavirus pandemic has impacted human existence in different areas. Different endeavors were made to lessen the infection moving by telecommute, social separating, and furthermore including hand cleanliness. Up until now, a large portion of the accessible hand sanitizers don't work naturally. This article plans to make a programmed hand sanitizer where sanitizer can come out consequently. Other than that, computerized hand sanitizer will make notice to the proprietor, if the fluid has arrived behind schedule to the cell phone. The infrared (IR) will detect the presence of warmth and movement of the item with the distance up to 50mm If the infrared sensor identify the distance of article sensor . The consequences of the hand sanitizer testing that the framework can run as planned with a base recognition mistake and trouble.
34
Fu, Xiaoxue, and John E. Richards. "Age-related changes in diffuse optical tomography sensitivity profiles in infancy." PLOS ONE 16, no. 6 (June 8, 2021): e0252036. http://dx.doi.org/10.1371/journal.pone.0252036.
Full textAbstract:
Diffuse optical tomography uses near-infrared light spectroscopy to measure changes in cerebral hemoglobin concentration. Anatomical interpretations of the location that generates the hemodynamic signal requires accurate descriptions of diffuse optical tomography sensitivity to the underlying cortical structures. Such information is limited for pediatric populations because they undergo rapid head and brain development. The present study used photon propagation simulation methods to examine diffuse optical tomography sensitivity profiles in realistic head models among infants ranging from 2 weeks to 24 months with narrow age bins, children (4 and 12 years) and adults (20 to 24 years). The sensitivity profiles changed systematically with the source-detector separation distance. The peak of the sensitivity function in the head was largest at the smallest separation distance and decreased as separation distance increased. The fluence value dissipated more quickly with sampling depth at the shorter source-detector separations than the longer separation distances. There were age-related differences in the shape and variance of sensitivity profiles across a wide range of source-detector separation distances. Our findings have important implications in the design of sensor placement and diffuse optical tomography image reconstruction in (functional) near-infrared light spectroscopy research. Age-appropriate realistic head models should be used to provide anatomical guidance for standalone near-infrared light spectroscopy data in infants.
35
Sui, Ruixiu, and Jonnie Baggard. "Center-Pivot-Mounted Sensing System for Monitoring Plant Height and Canopy Temperature." Transactions of the ASABE 61, no. 3 (2018): 831–37. http://dx.doi.org/10.13031/trans.12506.
Full textAbstract:
Abstract. Easy-to-use data acquisition methods are required for variable-rate irrigation (VRI) decision support systems. Plant canopy temperature is related to plant water stress. Plant height is useful as an indicator of plant health conditions and can be used to estimate yield potential. Therefore, measurements of plant canopy temperature and plant height coupled with spatial information in the field can be used for determining VRI water application depths. A center-pivot-mounted wireless data acquisition (WDAQ) system was developed to collect plant canopy temperature and plant height data in the field. Each WDAQ unit consisted of a GPS receiver, programmable data logger, infrared temperature sensor, ultrasonic distance sensor, solar power supply, and wireless data transmitter/receiver. The system included two WDAQ units installed on a four-span center-pivot VRI system. One unit was mounted at the middle of the third span, and the other was mounted at the middle of the fourth span from the pivot. The infrared temperature sensors were used to detect the canopy temperature, while the ultrasonic distance sensors were used to measure plant height. The WDAQ system was designed to continuously and simultaneously measure plant canopy temperature and plant height and record the spatial coordinates at each measurement location as the center pivot moved around the field. Data collected were wirelessly transferred to a receiver for data processing. This WDAQ system has been tested and evaluated in the field for two years. Test results indicated that the WDAQ system was able to record approximately 3,200 measurements from each sensor in one pivot circle (360°). The measurement error of the ultrasonic distance sensor was 0.2 to 3 cm in a measurement range of 14 to 209 cm, and the sensor-measured plant heights were strongly correlated with manually tape-measured plant heights in soybean and cotton crops (r2 = 0.97). Combined with the spatial information, measurements of plant height and crop canopy temperature were used to generate plant height and crop canopy temperature maps. Spatial variabilities of plant height and canopy temperature across the field could be identified from the maps and used in irrigation research. The WDAQ system has great potential for automatic creation of VRI prescription maps and plant-based irrigation scheduling. Keywords: Canopy temperature, Irrigation scheduling, Plant height, Sensors, Variable-rate irrigation.
36
Yu, Cheng Bo, Yu Xuan Liu, Yi Meng Zhang, and Hong Bing Li. "Intelligent Surveillance and Image Transmission Based on Wireless Video Sensor Network." Advanced Materials Research 457-458 (January 2012): 690–95. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.690.
Full textAbstract:
Design and implement an energy-efficient smart camera mote architecture to be used as surveillance device for assisted living. Add the Passive Infrared Sensor (PIR) to WVSN, PIR detect the human or animal’s moving, then it triggers the camera to wake up. The image captured will be grayscale processing by the central processing unit. Camera sensor nodes transmit a grayscale image over wireless channel to master control station. It offers reduced complexity, response time, and power consumption over conventional solutions. By experimental results from the test illustrate that performance of the designed wireless image sensor is better than the exiting ones in the market in terms of received signal strength intensity (RSSI) and packet rate ratio (PRR) with respect to the distance. This scheme is less complicated than other wireless video sensor surveillance techniques, allowing resource-constrained video sensors to operate more reliably and longer.
37
Bendimrad, Ahmed, Ayoub El Amrani, and Bouchta El Amrani. "Design and implementation of line follower and obstacle detection robot." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 1 (March 1, 2020): 160. http://dx.doi.org/10.11591/ijpeds.v11.i1.pp160-168.
Full textAbstract:
<p>In this paper, we propose a method for a line follower robot based on the instantaneous computation of the radius of curvature of this line, using infrared line sensors. The number and layout of its sensors, as well as the method chosen, play an important role in the robot's response to the line, with the desired accuracy and speed. In addition, the robot must be equipped with an anti-collision system, using an ultrasonic distance sensor, to detect and avoid obstacles in several situations, especially at line crossovers, when other robots share a common complex line.</p>
38
Bosevičius, Saulius, and Arūnas Lipnickas. "ROBOT ROBOTINO® FOR MECHATRONICS SPECIALISTS TRAINING / ROBOTO ROBOTINO® NAUDOJIMAS MECHATRONIKOS SPECIALISTŲ RUOŠIMUI." Mokslas - Lietuvos ateitis 3, no. 1 (August 22, 2011): 100–103. http://dx.doi.org/10.3846/mla.2011.021.
Full textAbstract:
In this paper the robot Robotino® is presented as effective device for mechatronics specialists training. The technical characteristics of the robot are described and analyzed. Various programming and control strategies are presented. Infrared distance sensor is experimentally evaluated and the voltage dependence on the distance is obtained. For the tracking by color line the information from VGA camera was used.
39
Wang, Hai, Yingfeng Cai, Xiaobo Chen, and Long Chen. "Night-Time Vehicle Sensing in Far Infrared Image with Deep Learning." Journal of Sensors 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/3403451.
Full textAbstract:
The use of night vision systems in vehicles is becoming increasingly common. Several approaches using infrared sensors have been proposed in the literature to detect vehicles in far infrared (FIR) images. However, these systems still have low vehicle detection rates and performance could be improved. This paper presents a novel method to detect vehicles using a far infrared automotive sensor. Firstly, vehicle candidates are generated using a constant threshold from the infrared frame. Contours are then generated by using a local adaptive threshold based on maximum distance, which decreases the number of processing regions for classification and reduces the false positive rate. Finally, vehicle candidates are verified using a deep belief network (DBN) based classifier. The detection rate is 93.9% which is achieved on a database of 5000 images and video streams. This result is approximately a 2.5% improvement on previously reported methods and the false detection rate is also the lowest among them.
40
Lavoie, Hugo, Eldon Puckrin, Jean-Marc Thériault, and François Bouffard. "Passive Standoff Detection of SF6 at a Distance of 5.7 km by Differential Fourier Transform Infrared Radiometry." Applied Spectroscopy 59, no. 10 (October 2005): 1189–93. http://dx.doi.org/10.1366/000370205774431007.
Full textAbstract:
Recent results are presented on the passive detection, identification, and quantification of a vapor cloud of SF6 measured at a horizontal standoff distance of 5.7 km using a dual-beam interferometer optimized for background signal suppression. The measurements were performed at Defense Research and Development Canada (DRDC)–Valcartier during a number of recent open-air experiments. The measurement approach is based on the differential passive standoff detection method that has been developed by DRDC Valcartier during the past few years. This work represents the first such measurement reported in the open literature for a standoff distance as large as 5.7 km. These results clearly demonstrate the capability of the differential radiometry approach to the detection, identification, and quantification of chemical vapor clouds located at long distances from the sensor.
41
Qiu, Zhao Yun, Zhan Xiu Cai, Ying Yuan Fan, and Ren Hong Zhao. "Modeling and Analysis on Optical Path of Infrared Reflective Photoelectric Sensor." Applied Mechanics and Materials 614 (September 2014): 312–16. http://dx.doi.org/10.4028/www.scientific.net/amm.614.312.
Full textAbstract:
In order to reduce the blind area and enlarge the measurement range of reflective photoelectric sensor, a simplified optical model is established to prove that the main factors affecting performance of the conventional reflective photoelectric sensor is optical design parameters defects. Through a simple pre partial emission angle design of light path and constructing the optical path model, a calculation method is given to calculate blind area and measurement range. Results show that with small blind area, wide measurement range and high sensitivity, the best measuring distance of the acute angle optical path model can be accurately calculated after the emitted light intensity reaches the set value due to its quantitative characteristic; the acute angle optical path model performance parameters are better than the right angle optical path model. The research has guiding significance for the design of reflective photoelectric sensor.
42
Zheng, Huadan, Haoyang Lin, Lei Dong, Zhao Huang, Xiaohang Gu, Jieyuan Tang, Linpeng Dong, Wenguo Zhu, Jianhui Yu, and Zhe Chen. "Quartz-Enhanced Photothermal-Acoustic Spectroscopy for Trace Gas Analysis." Applied Sciences 9, no. 19 (September 26, 2019): 4021. http://dx.doi.org/10.3390/app9194021.
Full textAbstract:
A crystal quartz tuning fork (QTF) was used as a detector to collect and amplify laser-induced photoacoustic and photothermal waves simultaneously for trace chemical analysis. A wavelength modulation technique was applied to the proposed quartz-enhanced photothermal-acoustic spectroscopy (QEPTAS) to improve the detection signal-to-noise ratio. The QTF detector was exposed to the illumination of a near-infrared distributed feedback laser at distances of 1 m and 2 m to evaluate the QEPTAS sensor performance. The QEPTAS sensor performance was determined by detecting water vapor in ambient air using a near-infrared distributed feedback laser with a power of ~10 mW and a wavelength of 1.39 μm. With an optimized modulation depth of 0.47 cm−1, the normalized noise equivalent absorption (NNEA) coefficients of 8.4 × 10−7 W·cm−1·Hz−1/2 and 3.7 × 10−6 W·cm−1·Hz−1/2 were achieved for a distance of 1 m and 2 m, respectively. The developed QEPTAS technique reduces the requirements for laser beam quality, resulting in a simple but robust sensor structure and demonstrates the ability of remote sensing of gas concentrations.
43
Husain, Al, David Calvin Siregar, and Septian Heri Permadi. "Alat Penghitung Barang Secara Otomatis Menggunakan Sensor Infrared Berbasis Arduino Uno." Journal CERITA 6, no. 2 (August 24, 2020): 198–205. http://dx.doi.org/10.33050/cerita.v6i2.1160.
Full textAbstract:
In electronics technology, the performance of a sensor in gathering information to detect objects is very important. Infrared sensor has the same properties as a transistor, which produces a cut-off, which means the light sensor will turn on if an item is detected and the data will come out in the form of LOW logic otherwise the lamp will remain off if the item is not detected and the data that comes out has a logic value HIGH. The distance range of the sensor or the level of sensitivity of the sensor can be adjusted via Potensio. The item count report is managed by Arduino which is processed in information in the form of data on the number of goods entering and exiting goods. The method applied in this study uses the System Development Life Cycle (SDLC) Method with a Waterfall modification that is expected to be able to easily determine the achievement of a system. Based on testing in terms of component functionality connected to the prototype system has worked well, while testing in terms of usability that the system is easily used efficiently
44
Yurchenko, A. S., I. N. Lukyanenko, I. I. Tsaruk, A. K. Malysheva, L. A. Nichkova, and L. I. Osadchaya. "Selection of radiation sensor for monitoring systems explosion and fire hazardous objects." Monitoring systems of environment, no. 2 (June 24, 2021): 39–45. http://dx.doi.org/10.33075/2220-5861-2021-2-39-45.
Full textAbstract:
This study justifies the selection of a radiation sensor for explosion and fire hazard monitoring systems. Preference is given to radiation sensors that perceive the energy of heated bodies, in this case a flame, and convert it into an electric signal. Since this energy is dissipated in the communication channel from the flame to the sensor and in the sensor itself, an analytical description of these losses and radiation energy in general is given, which is very important for assessing the sensitivity of the sensor. The following scheme of investigation of flame radiation energy is proposed. The source of radiation is stationary flame of various combustible substances, radiation energy of which is transmitted to the sensor through a fixed hole in a heat-tight screen in an air medium. The sensor is installed at a different distance from the flame, which makes it possible to detect the loss of radiation energy with distance. The sensor sensitive element is a metal bolometer OPB-4K, which receives infrared radiation flux amplified by a reflective mirror. Conversion of thermal radiation into electrical signal is performed by DC Bridge, to the arm of which the bolometer is connected. An amplifier is connected to a device setting threshold of sensor actuation. The threshold device, in turn, controls the thyristor switch, which allows turning on the power supply circuit of the actuator. The sensor operation is performed from individual power supply unit. The presented material is of great importance for the state service bodies in the field of fire safety and design organizations. It draws attention to the problem of improving automatic local means of explosion and fire protection.
45
Chang, Ching-Lung, Chuan-Yu Chang, Zhi-Yuan Tang, and Shuo-Tsung Chen. "High-Efficiency Automatic Recharging Mechanism for Cleaning Robot Using Multi-Sensor." Sensors 18, no. 11 (November 13, 2018): 3911. http://dx.doi.org/10.3390/s18113911.
Full textAbstract:
Cleaning robot has the highest penetration rate among the service robots. This paper proposes a high-efficiency mechanism for an intelligent cleaning robot automatically returns to charging in a short time when the power is insufficient. The proposed mechanism initially combines the robot’s own motor encoder with neural network linear regression to calculate the moving distance and rotation angle for the location estimation of the robot itself. At the same time, a self-rotating camera is applied to scan the number of infrared spots on the docking station to find the location of the docking station so that the cleaning robot returns to charging properly in two stages, existing infrared range and extended infrared range. In addition, six-axis acceleration and ultrasound are both applied to deal with the angle error that is caused by collision. Experimental results show that the proposed recharging mechanism significantly improves the efficiency of recharging.
46
Yuliati, Ari, Fajar Hafid Abdilah, and Eddy Samsoleh. "Designing a Lecture Room Monitor System with an Android Application Based on the Chip's ESP8266." ITEJ (Information Technology Engineering Journals) 5, no. 2 (December 31, 2020): 80–87. http://dx.doi.org/10.24235/itej.v5i2.43.
Full textAbstract:
The classroom monitoring system with an android application based on the ESP8266 chip was created to solve problems on campus in finding unused rooms and to provide solutions to the problems of finding classroom thus far by using inefficient manual methods. The monitor system was made to determine the status of classroom usage with a passive infrared (PIR) sensor which functions to detect human presence in the room and a light sensor with a Light Dependent Resistor (LDR) to detect the use of the projector in the room. The two sensors are connected to the ESP8266 chip which is connected to a realtime database via the internet. The android application is specifically made to access monitoring data stored in a realtime database throughout it is connected to the internet. The results of this system test the PIR sensor reaches a maximum distance of 4 meters, a time delay of about 3 minutes, a reliable tool, and low cost.
47
Kang, Keonil, and Sang-Won Nam. "Design of A Thermopile-Infrared-Sensor based Decision Module with Extended Human-Body Detection Distance." Journal of the Institute of Electronics and Information Engineers 55, no. 7 (July 31, 2018): 77–88. http://dx.doi.org/10.5573/ieie.2018.55.7.77.
Full text
48
Siswoko, Siswoko, Hariyadi Singgih, and Herman Hariyadi. "KAJIAN KINERJA KENDALI PWM PADA RANCANG BANGUN SISTEM EFISIENSI AIR WUDHU MENGGUNAKAN SENSOR INFRA-MERAH." JURNAL ELTEK 16, no. 1 (August 21, 2018): 64. http://dx.doi.org/10.33795/eltek.v16i1.87.
Full textAbstract:
The use of water for wudhu activities in general uses a manually tapped faucet so that water from the tank will come out. But performing wudhu in this way can result in waste of water in the reservoir. If the faucet continues to burn during the ablution process, there will be a time when water is not needed, that is when the process of washing the body part intended in ablution, so that at that time the water will be wasted. Another problem is if the supply of water sources is limited or in difficult terrain. Therefore it is necessary to make a tool that can improve the effectiveness of using ablution water using infrared sensor application that will activate the valve and open the tap water automatically only if there is a hand or body part detected by the sensor. The speed of the water being pumped will be further slowed by using the PWM (Pulse Width Modulation) method according to the water level of the tank that is detected by the ultrasonic sensor. The results of the study have been done sensitivity of ultrasonic sensors to the PWM control linearity error of 2.02%. And Data Test results of faucet ablation water wudhu adjustable infrared sensor can detect the object distance as far as 5-30 cm. If the input object is more than 30 cm, then the water does not come out.
49
Wang, Haiyan, Ronghua Liu, Lei Nie, Dongbo Xu, Wenping Yin, Lian Li, and Hengchang Zang. "Spectra selection methods: A novel optimization way for treating dynamic spectra and in-line near infrared modeling." Journal of Innovative Optical Health Sciences 13, no. 04 (May 20, 2020): 2050015. http://dx.doi.org/10.1142/s1793545820500157.
Full textAbstract:
Near infrared (NIR) spectroscopy is now widely used in fluidized bed granulation. However, there are still some demerits that should be overcome in practice. Valid spectra selection during modeling process is now a hard nut to crack. In this study, a novel NIR sensor and a cosine distance method were introduced to solve this problem in order to make the fluidized process into “visualization”. A NIR sensor was fixed on the side of the expansion chamber to acquire the NIR spectra. Then valid spectra were selected based on a cosine distance method to reduce the influence of dynamic disturbances. Finally, spectral pretreatment and wavelength selection methods were investigated to establish partial least squares (PLS) models to monitor the moisture content. The results showed that the root mean square error of prediction (RMSEP) was 0.124% for moisture content model, which was much lower than that without valid spectra selection treatment. All results demonstrated that with the help of valid spectra selection treatment, NIR sensor could be used for real-time determination of critical quality attributes (CQAs) more accurately. It makes the manufacturing easier to understand than the process parameter control.
50
Liu, Lei, Ying Jun Zhang, Jia Liu, and Xue Feng Yang. "Application of Infrared Binocular Vision for Monitoring Moving Target in Port." Applied Mechanics and Materials 678 (October 2014): 155–61. http://dx.doi.org/10.4028/www.scientific.net/amm.678.155.
Full textAbstract:
In recent years, the port occurred on many the theft cases that boats moored ships to implement embarkation at night, which seriously affected the economic benefits and the safety of the persons on the ship. In order to all-weather real-time monitor the condition around the ship, and to find the abnormal behavior of moving targets in time, the use of infrared video sensor is proposed for mooring the condition around the ship, and intelligent analysis for infrared video. First of all, through the semi-threshold method, Canny operator and connected component labeling for target detection, and to draw the target's movement track through the centroid coordinates, and then analyses the layout scheme of infrared video sensors, finally, determine whether the moving target near to the ship based on non-calibration binocular distance measurement, such as against by suspicion, alarm immediately. The experimental results show that this method is simple and effective, it can well realize to monitor the moving target in port, and to early warning at night.