Log in

Relevant bibliographies by topics / Camera-AI method / Journal articles

To see the other types of publications on this topic, follow the link: Camera-AI method.

Journal articles on the topic 'Camera-AI method'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Camera-AI method.'

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

Kafetzis, Ioannis, Philipp Sodmann, Robert Hüneburg, et al. "Advancing artificial intelligence applicability in endoscopy through source-agnostic camera signal extraction from endoscopic images." PLOS One 20, no. 6 (2025): e0325987. https://doi.org/10.1371/journal.pone.0325987.

Full text

Abstract:

Introduction Successful application of artificial intelligence (AI) in endoscopy requires effective image processing. Yet, the plethora of sources for endoscopic images, such as different processor-endoscope combinations or capsule endoscopy devices, results in images that vastly differ in appearance. These differences hinder the generalizability of AI models in endoscopy. Methods We developed an AI-based method for extracting the camera signal from raw endoscopic images in a source-agnostic manner. Additionally, we created a diverse dataset of standardized endoscopic images, named Endoscopic

APA, Harvard, Vancouver, ISO, and other styles

2

Murai, Yasuyuki, Hisayuki Tatsumi, Yumiko Ota, and Masahiro Miyakawa. "Prototype of a Method to Support the Walking of Visually Impaired by Detecting the Walkable Area Using Pedestrians." International Journal of Engineering and Technology 15, no. 2 (2023): 41–44. http://dx.doi.org/10.7763/ijet.2023.v15.1217.

Full text

Abstract:

The goal of this study is to support the walking of visually impaired people using AI and a small camera. It is difficult for the visually impaired to walk straight toward the target due to the characteristics of the disability. Even if they think they are walking straight, they will move off to the left and right. For this reason, they may have an accident such as falling from the platform of the train. In this report, in order to enable visually impaired people to walk safely toward the target, a small camera attached to the body captures the direction of travel, detects the area where the p

APA, Harvard, Vancouver, ISO, and other styles

3

song, LiuQing, and Amir Ali Mokhtarzadeh. "Research on automatic charging method based on quadruped robot." Journal of Physics: Conference Series 2467, no. 1 (2023): 012028. http://dx.doi.org/10.1088/1742-6596/2467/1/012028.

Full text

Abstract:

Abstract The problem of automatic charging of quadruped robots has been studied for a long time, but in the docking process, the success rate of robot docking is low. This paper proposes a kind of module based on the infrared tube module, laser ranging sensor group module, wireless communication module, charging station control unit module, and the automatic charging module, which includes two-dimensional code, voltage sensor group module, servo motor module, robot control unit module, serial communication module, and AI vision camera module. The docking method of combining the automatic charg

APA, Harvard, Vancouver, ISO, and other styles

4

Tomić, Martina, Romano Vrabec, Đurđica Hendelja, Vilma Kolarić, Tomislav Bulum, and Dario Rahelić. "Diagnostic Accuracy of Hand-Held Fundus Camera and Artificial Intelligence in Diabetic Retinopathy Screening." Biomedicines 12, no. 1 (2023): 34. http://dx.doi.org/10.3390/biomedicines12010034.

Full text

Abstract:

Our study aimed to assess the role of a hand-held fundus camera and artificial intelligence (AI)-based grading system in diabetic retinopathy (DR) screening and determine its diagnostic accuracy in detecting DR compared with clinical examination and a standard fundus camera. This cross-sectional instrument validation study, as a part of the International Diabetes Federation (IDF) Diabetic Retinopathy Screening Project, included 160 patients (320 eyes) with type 2 diabetes (T2DM). After the standard indirect slit-lamp fundoscopy, each patient first underwent fundus photography with a standard 4

APA, Harvard, Vancouver, ISO, and other styles

5

Göncz, Levente, and András László Majdik. "Object-Based Change Detection Algorithm with a Spatial AI Stereo Camera." Sensors 22, no. 17 (2022): 6342. http://dx.doi.org/10.3390/s22176342.

Full text

Abstract:

This paper presents a real-time object-based 3D change detection method that is built around the concept of semantic object maps. The algorithm is able to maintain an object-oriented metric-semantic map of the environment and can detect object-level changes between consecutive patrol routes. The proposed 3D change detection method exploits the capabilities of the novel ZED 2 stereo camera, which integrates stereo vision and artificial intelligence (AI) to enable the development of spatial AI applications. To design the change detection algorithm and set its parameters, an extensive evaluation

APA, Harvard, Vancouver, ISO, and other styles

6

Ishiguro, Minoru, Yotsumi Yoshii, Toshimasa Chaki, and Keigo Kasaya. "An Easy Snowpack Depth Evaluation Using Smartphone, Bluetooth Device, and Augmented Reality Marker of Open Computer Vision Package." Sustainability 15, no. 11 (2023): 8887. http://dx.doi.org/10.3390/su15118887.

Full text

Abstract:

An easy method to evaluate a remote place’s snowpack depth has been discussed for helping later-stage elderly persons’ life. The method of using a smartphone camera and an augmented reality marker (AR marker) has been investigated. The general smartphone with a high image resolution camera was used to observe snowpack depth in remote places and remote control the robot via Bluetooth device. And image processing using artificially integrated technology (AI technology) was adapted for detecting the AR markers and for evaluating the snowpack depth.

APA, Harvard, Vancouver, ISO, and other styles

7

Kühnemund, Alexander, Sven Götz, and Guido Recke. "Automatic Detection of Group Recumbency in Pigs via AI-Supported Camera Systems." Animals 13, no. 13 (2023): 2205. http://dx.doi.org/10.3390/ani13132205.

Full text

Abstract:

The resting behavior of rearing pigs provides information about their perception of the current temperature. A pen that is too cold or too warm can impact the well-being of the animals as well as their physical development. Previous studies that have automatically recorded animal behavior often utilized body posture. However, this method is error-prone because hidden animals (so-called false positives) strongly influence the results. In the present study, a method was developed for the automated identification of time periods in which all pigs are lying down using video recordings (an AI-suppo

APA, Harvard, Vancouver, ISO, and other styles

8

Song, Geun-Ho, Ju-Young Lee, Jong-Seop Yang, and Hoe-Kyung Jung. "EDGE AI Based Inference of Multiple Camera Streams using Multiplexing Method for POSE Estimation." JOURNAL OF THE KOREA CONTENTS ASSOCIATION 23, no. 12 (2023): 68–75. http://dx.doi.org/10.5392/jkca.2023.23.12.068.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Tak, Sehyun, Jong-Deok Lee, Jeongheon Song, and Sunghoon Kim. "Development of AI-Based Vehicle Detection and Tracking System for C-ITS Application." Journal of Advanced Transportation 2021 (August 18, 2021): 1–15. http://dx.doi.org/10.1155/2021/4438861.

Full text

Abstract:

There are various means of monitoring traffic situations on roads. Due to the rise of artificial intelligence (AI) based image processing technology, there is a growing interest in developing traffic monitoring systems using camera vision data. This study provides a method for deriving traffic information using a camera installed at an intersection to improve the monitoring system for roads. The method uses a deep-learning-based approach (YOLOv4) for image processing for vehicle detection and vehicle type classification. Lane-by-lane vehicle trajectories are estimated by matching the detected

APA, Harvard, Vancouver, ISO, and other styles

10

Yang, Liangliang, Tomoki Noguchi, and Yohei Hoshino. "Development of a Grape Cut Point Detection System Using Multi-Cameras for a Grape-Harvesting Robot." Sensors 24, no. 24 (2024): 8035. https://doi.org/10.3390/s24248035.

Full text

Abstract:

Harvesting grapes requires a large amount of manual labor. To reduce the labor force for the harvesting job, in this study, we developed a robot harvester for the vine grapes. In this paper, we proposed an algorithm that using multi-cameras, as well as artificial intelligence (AI) object detection methods, to detect the thin stem and decide the cut point. The camera system was constructed by two cameras that include multi-lenses. One camera is mounted at the base of the robot and named the “base camera”; the other camera is mounted at the robot hand and named the “hand camera” to recognize gra

APA, Harvard, Vancouver, ISO, and other styles

11

Li, Yaowei, Xintao Wang, Zhaoyang Zhang, et al. "Image Conductor: Precision Control for Interactive Video Synthesis." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 5 (2025): 5031–38. https://doi.org/10.1609/aaai.v39i5.32533.

Full text

Abstract:

Filmmaking and animation production often require sophisticated techniques for coordinating camera transitions and object movements, typically involving labor-intensive real-world capturing. Despite advancements in generative AI for video creation, achieving precise control over motion for interactive video asset generation remains challenging. To this end, we propose Image Conductor, a method for precise control of camera transitions and object movements to generate video assets from a single image. An well-cultivated training strategy is proposed to separate distinct camera and object motion

APA, Harvard, Vancouver, ISO, and other styles

12

Kolosov, Dimitrios, Vasilios Kelefouras, Pandelis Kourtessis, and Iosif Mporas. "Contactless Camera-Based Heart Rate and Respiratory Rate Monitoring Using AI on Hardware." Sensors 23, no. 9 (2023): 4550. http://dx.doi.org/10.3390/s23094550.

Full text

Abstract:

Detecting vital signs by using a contactless camera-based approach can provide several advantages over traditional clinical methods, such as lower financial costs, reduced visit times, increased comfort, and enhanced safety for healthcare professionals. Specifically, Eulerian Video Magnification (EVM) or Remote Photoplethysmography (rPPG) methods can be utilised to remotely estimate heart rate and respiratory rate biomarkers. In this paper two contactless camera-based health monitoring architectures are developed using EVM and rPPG, respectively; to this end, two different CNNs, (Mediapipe’s B

APA, Harvard, Vancouver, ISO, and other styles

13

Deviana, Lyla Putri, and Styawati Styawati. "Sistem Monitoring Pertumbuhan Tanaman Sawi Menggunakan Artificial Intelligence Pada Aquaponik." Jurnal Informatika: Jurnal Pengembangan IT 9, no. 3 (2024): 306–14. https://doi.org/10.30591/jpit.v9i3.5897.

Full text

Abstract:

Modern agriculture increasingly relies on technology to increase efficiency and productivity. Aquaponics, a sustainable farming method that combines fish and plant farming, has emerged as one promising approach. To maximize yield in an aquaponics system, monitoring plant growth becomes very important. In this context, Artificial Intelligence (AI) offers innovative solutions to monitor and optimize plant growth in realtime. AI-based aquaponics technology is designed portably so that it allows people to grow crops inside and outside the home. AIbased aquaponics technology uses a camera that func

APA, Harvard, Vancouver, ISO, and other styles

14

Nurdiansyah, Deni, Satrianansyah Satrianansyah, and Ahmad Sobri. "SMART ROBOT OBJECT DETECTION MENGGUNAKAN ESP-32 CAM." Jurnal Teknik Informasi dan Komputer (Tekinkom) 7, no. 1 (2024): 272. https://doi.org/10.37600/tekinkom.v7i1.1296.

Full text

Abstract:

Object detection is a method to recognize the class and location of objects in an image. The main challenge is integrating complex algorithms into lightweight and portable hardware, especially with expensive sensor and camera technologies. This research aims to develop an object detection system using the ESP-32 Cam for robotics monitoring and security. The focus is on utilizing the Yolov5 model transformed into TensorFlow Lite for integration with ESP32 AI CAMERA, expected to detect objects in real-time at a low cost. The methodology includes collecting 1710 datasets from 27 images, dividing

APA, Harvard, Vancouver, ISO, and other styles

15

Kato, Daiichiro, Hideki Mitsumine, Kensuke Hisatomi, Toshie Hiroshima, and Jun Arai. "Study of AI Robot Camera for Golf Broadcasts that Simulates the Shooting Method of Broadcast Cameramen." Journal of the Robotics Society of Japan 43, no. 4 (2025): 413–22. https://doi.org/10.7210/jrsj.43.413.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Rathi, Aman. "AI Virtual Mouse." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 852–58. https://doi.org/10.22214/ijraset.2025.70308.

Full text

Abstract:

The method for creating a process of human-computer interaction has changed since the advancement of computer technology. The mouse is a great tool for the human-computer interaction. This study offers a way to move the pointer without using any technological devices. On the other hand, other hand moves can be applied for operations like drag and click objects. The suggested system will just need a camera as an input device. Along with additional tools, the system will need to be used with OpenCV and Python. The output from the camera shall be shown on a display that is connected so that the u

APA, Harvard, Vancouver, ISO, and other styles

17

Lee, Hwiwon, and Sekyoung Youm. "Development of a Wearable Camera and AI Algorithm for Medication Behavior Recognition." Sensors 21, no. 11 (2021): 3594. http://dx.doi.org/10.3390/s21113594.

Full text

Abstract:

As many as 40% to 50% of patients do not adhere to long-term medications for managing chronic conditions, such as diabetes or hypertension. Limited opportunity for medication monitoring is a major problem from the perspective of health professionals. The availability of prompt medication error reports can enable health professionals to provide immediate interventions for patients. Furthermore, it can enable clinical researchers to modify experiments easily and predict health levels based on medication compliance. This study proposes a method in which videos of patients taking medications are r

APA, Harvard, Vancouver, ISO, and other styles

18

Singh, Sandeep, Priyansh Jain, Sneha Kesarwani, and Vanshi Tiwari. "Smart Surveillance." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 2111–17. http://dx.doi.org/10.22214/ijraset.2022.42695.

Full text

Abstract:

Abstract: Every individual in today's society has a need for a safe and reliable system. The most commonly used closed-circuit television (CCTV) or video surveillance systems are being implemented everywhere: hospitals, warehouses, parking lots, and buildings. However, this highly effective system has a cost disadvantage. Therefore, a cost-effective system is required. This project proposes to use a security camera with night vision using OpenCV. This is a cost-effective method. Images are captured and processed frame by frame. When a person is detected, the image is saved and an email is sent

APA, Harvard, Vancouver, ISO, and other styles

19

Gunturu, Sujith, Arslan Munir, Hayat Ullah, Stephen Welch, and Daniel Flippo. "A Spatial AI-Based Agricultural Robotic Platform for Wheat Detection and Collision Avoidance." AI 3, no. 3 (2022): 719–38. http://dx.doi.org/10.3390/ai3030042.

Full text

Abstract:

To obtain more consistent measurements through the course of a wheat growing season, we conceived and designed an autonomous robotic platform that performs collision avoidance while navigating in crop rows using spatial artificial intelligence (AI). The main constraint the agronomists have is to not run over the wheat while driving. Accordingly, we have trained a spatial deep learning model that helps navigate the robot autonomously in the field while avoiding collisions with the wheat. To train this model, we used publicly available databases of prelabeled images of wheat, along with the imag

APA, Harvard, Vancouver, ISO, and other styles

20

Cabrera-Rufino, Marco-Antonio, Juan-Manuel Ramos-Arreguín, Marco-Antonio Aceves-Fernandez, Efren Gorrostieta-Hurtado, Jesus-Carlos Pedraza-Ortega, and Juvenal Rodríguez-Resendiz. "Pose Estimation of a Cobot Implemented on a Small AI-Powered Computing System and a Stereo Camera for Precision Evaluation." Biomimetics 9, no. 10 (2024): 610. http://dx.doi.org/10.3390/biomimetics9100610.

Full text

Abstract:

The precision of robotic manipulators in the industrial or medical field is very important, especially when it comes to repetitive or exhaustive tasks. Geometric deformations are the most common in this field. For this reason, new robotic vision techniques have been proposed, including 3D methods that made it possible to determine the geometric distances between the parts of a robotic manipulator. The aim of this work is to measure the angular position of a robotic arm with six degrees of freedom. For this purpose, a stereo camera and a convolutional neural network algorithm are used to reduce

APA, Harvard, Vancouver, ISO, and other styles

21

Journal, IJSREM. "A IMPLEMENTATION ON IMPLEMTATION OF VISION GLIDE TECHNIQUE FOR SMOOTH NAVIGATION WITH CAMERA BASED VIRTUAL MOUSE." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 11 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem26650.

Full text

Abstract:

As artificial intelligence technology has advanced, it has become commonplace to employ hand gesture detection to control virtual objects. The suggested system in this research is a hand gesture-controlled virtual mouse that uses AI algorithms to recognize hand gestures and transform them into mouse movements. People who have trouble using a conventional mouse or keyboard can use the system to provide an alternate interface. The suggested method takes pictures of the user's hand with a camera, which an AI program then utilizes to identify the motions the user is making. Since the development o

APA, Harvard, Vancouver, ISO, and other styles

22

Choudhari, Prof Y. D. "A REVIEW ON IMPLEMTATION OF SIGN LANGUAGE TRANSLATOR." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 11 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem27384.

Full text

Abstract:

As artificial intelligence technology has advanced, it has become commonplace to employee gesture detection to control virtual objects. The suggested system in this research is a hand gesture- controlled virtual mouse that uses AI algorithms to recognize hand gestures and transform them into mouse movements. People who have trouble using a conventional mouse or keyboard can use the system to provide an alternate interface. The suggested method takes pictures of the user's hand with a camera, which an AI program then utilizes to identify the motions the user is making. Since the development of

APA, Harvard, Vancouver, ISO, and other styles

23

Gáborčíková, Zuzana, Juraj Bartok, Irina Malkin Ondík, et al. "Artificial Intelligence-Based Detection of Light Points: An Aid for Night-Time Visibility Observations." Atmosphere 15, no. 8 (2024): 890. http://dx.doi.org/10.3390/atmos15080890.

Full text

Abstract:

Visibility is one of the key meteorological parameters with special importance in aviation meteorology and the transportation industry. Nevertheless, it is not a straightforward task to automatize visibility observations, since the assistance of trained human observers is still inevitable. The current paper attempts to make the first step in the process of automated visibility observations: it examines, by the approaches of artificial intelligence (AI), whether light points in the target area can or cannot be automatically detected for the purposes of night-time visibility observations. From a

APA, Harvard, Vancouver, ISO, and other styles

24

Mustofa, Bisri, Harun Sujadi, and Tantri Wahyuni. "Ai-Based Building Security System Using Vision Tracking Motion Method." SEMINAR TEKNOLOGI MAJALENGKA (STIMA) 7 (September 27, 2023): 120–29. http://dx.doi.org/10.31949/stima.v7i0.938.

Full text

Abstract:

Security is something that is needed by every human being, because with security there will be an impression of comfort. Especially in a place of residence or a place to carry out economic transactions or even an agency. Artificial intelligence is a form of scientific discipline which is an artificial intelligence that functions to facilitate the process of human life technologically. Machine Learning is a machine that was developed to be able to learn by itself without direction from the user. Video tracking motion is a method that is used as a reference to capture movement in objects that ch

APA, Harvard, Vancouver, ISO, and other styles

25

Zhen, Tianqi. "Optimization Strategies for Low-Power AI Models on Embedded Devices." Applied and Computational Engineering 133, no. 1 (2025): 38–45. https://doi.org/10.54254/2755-2721/2025.20598.

Full text

Abstract:

With the growing demand for IoT devices, developing low-power AI models on embedded systems has become increasingly important. However, the efficient implementation of AI models within the computational and battery limitations of these devices remains a significant challenge. This study addresses how model pruning and quantization compression techniques can reduce power consumption without significantly compromising model accuracy. The research method optimizes the performance of the three-color recognition model, organizes a dataset consisting of red, yellow, and green classification images,

APA, Harvard, Vancouver, ISO, and other styles

26

Cho, Kuk, and Dooyong Cho. "Autonomous Driving Assistance with Dynamic Objects Using Traffic Surveillance Cameras." Applied Sciences 12, no. 12 (2022): 6247. http://dx.doi.org/10.3390/app12126247.

Full text

Abstract:

This paper describes a method that precisely estimates the position of images of traffic surveillance camera objects. We suggest a projection method with multiple traffic surveillance cameras through a local coordinate system into a global coordinate system. The transformation of coordinates uses detected objects, parameters of the camera and the geometric information of high- definition (HD) maps. Traffic surveillance cameras that pursue traffic safety and convenience use various sensors to generate traffic information. We suggest a transformation method with images of the camera and HD maps

APA, Harvard, Vancouver, ISO, and other styles

27

Kaviya, L. Sakthi, R. Praveen kumar, B. Santhosh, and Dr J. Sudhakar. "Ai-Powered Automated and Portable Device for Retinal Health Assessment." International Journal of Research and Scientific Innovation XII, no. V (2025): 383–88. https://doi.org/10.51244/ijrsi.2025.120500031.

Full text

Abstract:

In recent years, advancements in Artificial Intelligence (AI) and deep learning have opened up new possibilities for automated, accurate, and faster detection of eye diseases, particularly glaucoma. This paper presents a smart, low-cost, and portable solution using a 20D Ophthalmology Lens attached to a smartphone via a PVC (Polyvinyl Chloride) pipe adapter. The device is capable of capturing clear fundus images, which are then analysed using Convolutional Neural Networks (CNNs) and other deep learning models to detect early signs of retinal diseases.This article describes the method to early

APA, Harvard, Vancouver, ISO, and other styles

28

Kaviya, Sakthi, R. Praveen Kumar Praveen Kumar, B. Santhosh B. Santhosh, and Dr J. Sudhakar Dr. J. Sudhakar. "AI-Powered Automated and Portable Device for Retinal Health Assessment." International Journal of Research and Scientific Innovation XII, no. V (2025): 539–44. https://doi.org/10.51244/ijrsi.2025.12050048.

Full text

Abstract:

In recent years, advancements in Artificial Intelligence (AI) and deep learning have opened up new possibilities for automated, accurate, and faster detection of eye diseases, particularly glaucoma. This paper presents a smart, low-cost, and portable solution using a 20D Ophthalmology Lens attached to a smartphone via a PVC (Polyvinyl Chloride) pipe adapter. The device is capable of capturing clear fundus images, which are then analysed using Convolutional Neural Networks (CNNs) and other deep learning models to detect early signs of retinal diseases.This article describes the method to early

APA, Harvard, Vancouver, ISO, and other styles

29

Yang, Changmo, Jiheon Kang, and Doo-Seop Eom. "Enhancing ToF Sensor Precision Using 3D Models and Simulation for Vision Inspection in Industrial Mobile Robots." Applied Sciences 14, no. 11 (2024): 4595. http://dx.doi.org/10.3390/app14114595.

Full text

Abstract:

In recent industrial settings, time-of-flight (ToF) cameras have become essential tools in various applications. These cameras provide high-performance 3D measurements without relying on ambient lighting; however, their performance can degrade due to environmental factors such as temperature, humidity, and distance to the target. This study proposes a novel method to enhance the pixel-level sensing accuracy of ToF cameras by obtaining precise depth data labels in real-world environments. By synchronizing 3D simulations with the actual ToF sensor viewpoints, accurate depth values were acquired

APA, Harvard, Vancouver, ISO, and other styles

30

Fu, Huichu, Yiming Lai, Chunrong Pan, Siwei Zhang, Liping Bai, and Jie Li. "A Central Array Method to Locate Chips in AOI Systems in Semiconductor Manufacturing." Electronics 13, no. 6 (2024): 1070. http://dx.doi.org/10.3390/electronics13061070.

Full text

Abstract:

For semiconductor manufacturing, automatic optical inspections (AOIs) are important for chip quality inspection. An AOI system contains a robot arm, an industrial camera, a x-y platform, and a visual inspection module. Using the industrial camera, a wafer map can be obtained and then sent to the visual inspection module to compare with qualified chip features. There is a baseline in the x-y platform. Due to the limitations of the robot arm flexibility, it is difficult for the robot arm to control the angles between the chip orientation and the baseline every time, which decreases the defect re

APA, Harvard, Vancouver, ISO, and other styles

31

Török, Katalin, Cseperke Csonka, Edina Török, Melinda Kabai, and Péter Batáry. "First results from applying novel technologies to study plant–pollinator interactions in restored sand grasslands." ARPHA Conference Abstracts 8 (May 28, 2025): e152101. https://doi.org/10.3897/aca.8.e152101.

Full text

Abstract:

Monitoring plant–pollinator interactions is essential for combating the loss of biodiversity and the associated ecosystem service of pollination. Data gaps in this area partly result from the labor-intensive nature of sampling and the lack of direct observation of plant–pollinator interactions, but are most notably due to the challenging identification of highly diverse pollinating insects. To fill this gap the SEPPI project (https://seppi-pollinate.weebly.com/) aims to test automated, image-based methods using machine learning and compare them to traditional sampling in terms of accuracy, fea

APA, Harvard, Vancouver, ISO, and other styles

32

Syed, Fawad A., Gil Lopes, and A. Fernando Ribeiro. "Development of the Anthropomorphic Arm for Collaborative and Home Service Robot CHARMIE." Actuators 13, no. 7 (2024): 239. http://dx.doi.org/10.3390/act13070239.

Full text

Abstract:

Service robots are rapidly transitioning from concept to reality, making significant strides in development. Similarly, the field of prosthetics is evolving at an impressive pace, with both areas now being highly relevant in the industry. Advancements in these fields are continually pushing the boundaries of what is possible, leading to the increasing creation of individual arm and hand prosthetics, either as standalone units or combined packages. This trend is driven by the rise of advanced collaborative robots that seamlessly integrate with human counterparts in real-world applications. This

APA, Harvard, Vancouver, ISO, and other styles

33

Yang, Guangwei, Christie Ridgeway, Andrew Miller, and Abhijit Sarkar. "Comprehensive Assessment of Artificial Intelligence Tools for Driver Monitoring and Analyzing Safety Critical Events in Vehicles." Sensors 24, no. 8 (2024): 2478. http://dx.doi.org/10.3390/s24082478.

Full text

Abstract:

Human factors are a primary cause of vehicle accidents. Driver monitoring systems, utilizing a range of sensors and techniques, offer an effective method to monitor and alert drivers to minimize driver error and reduce risky driving behaviors, thus helping to avoid Safety Critical Events (SCEs) and enhance overall driving safety. Artificial Intelligence (AI) tools, in particular, have been widely investigated to improve the efficiency and accuracy of driver monitoring or analysis of SCEs. To better understand the state-of-the-art practices and potential directions for AI tools in this domain,

APA, Harvard, Vancouver, ISO, and other styles

34

Liao, Wenhao, Sineng Yan, Youqian Zhang, Xinwei Zhai, Yuanyuan Wang, and Eugene Fu. "Is Your Autonomous Vehicle Safe? Understanding the Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 26 (2025): 27464–72. https://doi.org/10.1609/aaai.v39i26.34958.

Full text

Abstract:

Autonomous vehicles rely on camera-based perception systems to comprehend their driving environment and make crucial decisions, thereby ensuring vehicles to steer safely. However, a significant threat known as Electromagnetic Signal Injection Attacks (ESIA) can distort the images captured by these cameras, leading to incorrect AI decisions and potentially compromising the safety of autonomous vehicles. Despite the serious implications of ESIA, there is limited understanding of its impacts on the robustness of AI models across various and complex driving scenarios. To address this gap, our rese

APA, Harvard, Vancouver, ISO, and other styles

35

Martinelli, Alessandro, Agnese Toni, and Sara Brescia. "AI upscaling Supporting Image Alignment in Photogrammetric Reconstruction." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4-2024 (October 21, 2024): 337–43. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-2024-337-2024.

Full text

Abstract:

Abstract. This research aims to investigate and analyze the contribution provided by preventive image processing using AI in the SfM data acquisition process. Specifically, the objective is to observe qualities and defects of "AI upscaling" integrated into the normal workflow of digital restitution, with the hypothesis that greater sharpness and resolution can lead to better alignments and better model generations. Other similar experiments have been carried out previously on the AI intervention in the photos to improve the alignments, but a generic procedure and with untrained public AI has n

APA, Harvard, Vancouver, ISO, and other styles

36

Ciptaningrum, Adiratna. "Design of smart human following on rail inspection using human pose estimation marker-less motion capture based on blazepose." Journal Geuthee of Engineering and Energy (JOGE) 2, no. 2 (2023): 106–18. http://dx.doi.org/10.52626/joge.v2i2.26.

Full text

Abstract:

Advances in artificial intelligence (AI) technology today have a significant impact in various aspects of human life. One example is the evolution of robotics that has achieved the ability to follow human movements. To achieve this, AI technology utilizes image recognition through Computer Vision and the Human Pose Estimation method with the help of the BlazePose library, which is able to recognize 33 keypoints in human body poses. Research in this area aims to develop an automatic control system that can be used on inspection carts, enabling them to follow human body movements while walking.

APA, Harvard, Vancouver, ISO, and other styles

37

Gabaraev, G. M., E. N. Ponomareva, I. A. Loskutov, E. A. Katalevskaya, and M. R. Khabazova. "Clinical Validation of a Program for Diagnosing Vision-Threatening Diabetic Retinopathy Based on Automatic Segmentation Algorithms." Ophthalmology in Russia 20, no. 2 (2023): 291–97. http://dx.doi.org/10.18008/1816-5095-2023-2-291-297.

Full text

Abstract:

Background. Diabetic retinopathy is a very common, debilitating disease that requires early diagnosis and treatment. The development of new screening methods is a priority area of medicine in recent years. Purpose: Approbation of the software (SW) based on algorithms for automatic segmentation of signs of DR “Retina AI” in clinical practice, the study of the capabilities of the software “Retina AI” in the diagnosis of vision-threatening DR.Methods. Analysis of clinical data obtained from patients undergoing diagnostics and treatment at the Federal Research and Clinical Center for Specialized T

APA, Harvard, Vancouver, ISO, and other styles

38

Zhang, F., W. Ke, H. Ouyang, and S. Qiu. "INDOOR VISIBLE LIGHT LOCALIZATION METHOD BASED ON EMBEDDED ARTIFICIAL INTELLIGENCE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-3/W1-2022 (April 22, 2022): 255–61. http://dx.doi.org/10.5194/isprs-archives-xlvi-3-w1-2022-255-2022.

Full text

Abstract:

Abstract. This paper proposes an indoor visible light location method based on embedded platform and optical frequency image recognition technology with artificial intelligence, which can effectively improve the location effect in complex indoor environment. By transplanting the artificial intelligence (AI) based image classification algorithm into the embedded platform, this method uses a forward neural network to analyse the position information coming from the coded optical frequency image received by a camera, and then the positioning results can be obtained. In view of the "motion state"

APA, Harvard, Vancouver, ISO, and other styles

39

Cheng, Xiaohong. "Research on Depression Recognition Based on University Students’ Facial Expressions and Actions with the Assistance of Artificial Intelligence." Journal of Advanced Computational Intelligence and Intelligent Informatics 28, no. 5 (2024): 1126–31. http://dx.doi.org/10.20965/jaciii.2024.p1126.

Full text

Abstract:

As artificial intelligence (AI) technology advances, its application in the field of psychology has witnessed significant advancements. In this paper, with the assistance of AI, 80 university students with depression and 80 university students with normal psychology were selected as the subjects. The facial expression feature data were extracted through OpenFace, and the action feature data were extracted based on a Kinect camera. Then, the convolutional neural network-long short-term memory (CNN-LSTM) and temporal convolutional neural network (TCN) approaches were designed for recognition. Fi

APA, Harvard, Vancouver, ISO, and other styles

40

Zezos, Petros. "Artificial Intelligence-Assisted Endoscopy in Ulcerative Colitis." International Journal of Extreme Automation and Connectivity in Healthcare 3, no. 2 (2021): 1–6. http://dx.doi.org/10.4018/ijeach.2021070101.

Full text

Abstract:

Inflammatory bowel diseases (IBD) are disorders that cause chronic inflammation in the gastrointestinal (GI) tract. The two most common forms of IBD are Crohn's disease and ulcerative colitis (UC). Imaged by high-definition video-camera via the colonoscope, the mucosa of the colon is recorded and examined by the endoscopist. Endoscopy is the gold standard method of discerning the disease severity and the treatment outcome in patients with UC. Determining the severity and the extent of the disease is important in guiding the management. This is challenging due to inter-individual variation, sub

APA, Harvard, Vancouver, ISO, and other styles

41

Lopes, Carolina Coelho, António Ribeiro, Tiago Ribeiro, Gil Lopes, and A. Fernando Ribeiro. "Multi-Neural Network Localisation System with Regression and Classification on Football Autonomous Robots." AI 6, no. 2 (2025): 27. https://doi.org/10.3390/ai6020027.

Full text

Abstract:

In environments like the RoboCup Middle Size League (MSL), precise and rapid localisation of robots is crucial for effective autonomous interaction. This study addresses the limitations of conventional localisation approaches—often based on single-camera systems or sensors such as LiDAR (Light Detection and Ranging) and infrared—by developing a robust Artificial Intelligence (AI)-based multi-camera system solution. This method uses multiple neural networks, breaking down the problem while taking advantage of both classification and regression methods. The solution includes a classification neu

APA, Harvard, Vancouver, ISO, and other styles

42

McNeil, Andrew, Kesley Parks, Edward Cowen, et al. "298 Improving AI Assessment of Cutaneous Chronic Graft-Versus-Host Disease using Unlabeled Patient Photographs." Journal of Clinical and Translational Science 8, s1 (2024): 92. http://dx.doi.org/10.1017/cts.2024.272.

Full text

Abstract:

OBJECTIVES/GOALS: Measuring the area of skin involvement in chronic graft-versus-host disease (cGVHD) relies on costly, time-consuming manual assessment, with high disagreement among experts (>20%). Our published AI method, trained on labeled 3D photos, showed promise for delineating affected areas. We aim to improve its performance using unlabeled 2D photos. METHODS/STUDY POPULATION: Our published AI model (baseline) was trained on 360 labeled photos of 36 cGVHD patients,from a 3D camera with calibrated distance and lighting.Our gold standard labels were contours around affected skin, mark

APA, Harvard, Vancouver, ISO, and other styles

43

Kang, Seon Jong, Kyung Bong Ryu, Min Su Jeong, Seong In Jeong, and Kang Ryoung Park. "CAM-FRN: Class Attention Map-Based Flare Removal Network in Frontal-Viewing Camera Images of Vehicles." Mathematics 11, no. 17 (2023): 3644. http://dx.doi.org/10.3390/math11173644.

Full text

Abstract:

In recent years, active research has been conducted on computer vision and artificial intelligence (AI) for autonomous driving to increase the understanding of the importance of object detection technology using a frontal-viewing camera. However, using an RGB camera as a frontal-viewing camera can generate lens flare artifacts due to strong light sources, components of the camera lens, and foreign substances, which damage the images, making the shape of objects in the images unrecognizable. Furthermore, the object detection performance is significantly reduced owing to a lens flare during sema

APA, Harvard, Vancouver, ISO, and other styles

44

Raihan, Prodhan Md Safiq, Anik Md Shahjahan, Shamima Akter Shimky, et al. "Pavement Crack Detection and Solution with Artificial Intelligence." European Journal of Theoretical and Applied Sciences 2, no. 4 (2024): 277–314. http://dx.doi.org/10.59324/ejtas.2024.2(4).25.

Full text

Abstract:

Detecting and repairing pavement cracks is essential to ensure road safety and longevity. Traditional inspection and maintenance methods are time-consuming, expensive and often inaccurate. In recent years, there has been a growing trend to use artificial intelligence (AI) to automate the process of pavement crack detection and repair. The article focuses on using AI techniques to detect pavement cracks and provide solutions to repair them. The proposed solution is based on using deep learning algorithms to analyze high-resolution images of the road surface. Photos are taken with a vehicle came

APA, Harvard, Vancouver, ISO, and other styles

45

Prodhan, Md Safiq Raihan, Md Shahjahan Anik, Akter Shimky Shamima, et al. "Pavement Crack Detection and Solution with Artificial Intelligence." European Journal of Theoretical and Applied Sciences 2, no. 4 (2024): 277–314. https://doi.org/10.59324/ejtas.2024.2(4).25.

Full text

Abstract:

Detecting and repairing pavement cracks is essential to ensure road safety and longevity. Traditional inspection and maintenance methods are time-consuming, expensive and often inaccurate. In recent years, there has been a growing trend to use artificial intelligence (AI) to automate the process of pavement crack detection and repair. The article focuses on using AI techniques to detect pavement cracks and provide solutions to repair them. The proposed solution is based on using deep learning algorithms to analyze high-resolution images of the road surface. Photos are taken with a vehicle came

APA, Harvard, Vancouver, ISO, and other styles

46

An, Jehong, Kwonwook Son, Kwanghyun Jung, et al. "Enhancement of Marine Lantern’s Visibility under High Haze Using AI Camera and Sensor-Based Control System." Micromachines 14, no. 2 (2023): 342. http://dx.doi.org/10.3390/mi14020342.

Full text

Abstract:

This thesis describes research to prevent maritime safety accidents by notifying navigational signs when sea fog and haze occur in the marine environment. Artificial intelligence, a camera sensor, an embedded board, and an LED marine lantern were used to conduct the research. A deep learning-based dehaze model was learned by collecting real marine environment and open haze image data sets. By applying this learned model to the original hazy images, we obtained clear dehaze images. Comparing those two images, the concentration level of sea fog was derived into the PSNR and SSIM values. The brig

APA, Harvard, Vancouver, ISO, and other styles

47

Naga Sesha Lakshmi Pokanati, Satvik Reddy Alla, Sai Raja Pradeep Pampana, Ashan Mohammad, Swamy Sakala, and Veera Venkata Naga Surya Devi Sai Chintam. "Next-gen interaction experience using virtual mouse system." International Journal of Science and Research Archive 15, no. 1 (2025): 348–54. https://doi.org/10.30574/ijsra.2025.15.1.0899.

Full text

Abstract:

The Virtual Mouse System is an innovative, touch-free control mechanism that replaces traditional computer mice using computer vision and artificial intelligence (AI). With a standard camera or webcam, it interprets hand, head, and eye gestures to perform actions like cursor movement, clicking, and scrolling. Designed for both general users and individuals with physical disabilities, it provides an intuitive, accessible, and futuristic interaction method. Key technologies like OpenCV and AI enable real- time gesture recognition, making it suitable for applications in accessibility, gaming, and

APA, Harvard, Vancouver, ISO, and other styles

48

Nasution, Muhammad Rangga Aziz, Herfandi Herfandi, Ones Sanjerico Sitanggang, Huy Nguyen, and Yeong Min Jang. "Proximity-Based Optical Camera Communication with Multiple Transmitters Using Deep Learning." Sensors 24, no. 2 (2024): 702. http://dx.doi.org/10.3390/s24020702.

Full text

Abstract:

In recent years, optical camera communication (OCC) has garnered attention as a research focus. OCC uses optical light to transmit data by scattering the light in various directions. Although this can be advantageous with multiple transmitter scenarios, there are situations in which only a single transmitter is permitted to communicate. Therefore, this method is proposed to fulfill the latter requirement using 2D object size to calculate the proximity of the objects through an AI object detection model. This approach enables prioritization among transmitters based on the transmitter proximity

APA, Harvard, Vancouver, ISO, and other styles

49

Yu, Yang, Rongrong Ni, Wenjie Li, and Yao Zhao. "Detection of AI-Manipulated Fake Faces via Mining Generalized Features." ACM Transactions on Multimedia Computing, Communications, and Applications 18, no. 4 (2022): 1–23. http://dx.doi.org/10.1145/3499026.

Full text

Abstract:

Recently, AI-manipulated face techniques have developed rapidly and constantly, which has raised new security issues in society. Although existing detection methods consider different categories of fake faces, the performance on detecting the fake faces with “unseen” manipulation techniques is still poor due to the distribution bias among cross-manipulation techniques. To solve this problem, we propose a novel framework that focuses on mining intrinsic features and further eliminating the distribution bias to improve the generalization ability. First, we focus on mining the intrinsic clues in

APA, Harvard, Vancouver, ISO, and other styles

50

Huang, Qian, Chenghung Hsieh, Jiaen Hsieh, and Chunchen Liu. "Memory-Efficient AI Algorithm for Infant Sleeping Death Syndrome Detection in Smart Buildings." AI 2, no. 4 (2021): 705–19. http://dx.doi.org/10.3390/ai2040042.

Full text

Abstract:

Artificial intelligence (AI) is fundamentally transforming smart buildings by increasing energy efficiency and operational productivity, improving life experience, and providing better healthcare services. Sudden Infant Death Syndrome (SIDS) is an unexpected and unexplained death of infants under one year old. Previous research reports that sleeping on the back can significantly reduce the risk of SIDS. Existing sensor-based wearable or touchable monitors have serious drawbacks such as inconvenience and false alarm, so they are not attractive in monitoring infant sleeping postures. Several rec

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!