Relevant bibliographies by topics / Pixy2 camera

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Pixy2 camera'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Pixy2 camera"

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MASRIL, MUHAMMAD ABRAR, and DEOSA PUTRA CANIAGO. "Optimasi Teknologi Computer Vision pada Robot Industri Sebagai Pemindah Objek Berdasarkan Warna." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 11, no. 1 (2023): 46. http://dx.doi.org/10.26760/elkomika.v11i1.46.

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ABSTRAKComputer vision merupakan teknologi yang dapat mendeteksi objek yang ada disekitarnya pada penelitian ini membahas optimasi teknologi computer vison pada robot sebagai pemindah objek berdasarkan warna. Sistem pada robot terdiri dari pengenalan bola berwarna dan memindahkan bola berwarna sesuai dengan warna yang dideteksi. Teknologi computer vision pada pixy 2 camera dapat mendeteksi objek berwarna menggunakan metode deteksi real-time dengan hasil optimasi yang tinggi yaitu 0,2 detik ketika mendeteksi objek berwarna. Pengujian pengenalan objek berwarna dilakukan sebanyak tiga kali pada s
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Jang, Jun-Yeong, Su-Jeong Yoon, and Chi-Ho Lin. "Automated Guided Vehicle (AGV) Driving System Using Vision Sensor and Color Code." Electronics 12, no. 6 (2023): 1415. http://dx.doi.org/10.3390/electronics12061415.

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Recently, the use of Automated Guided Vehicles (AGVs) at production sites has been increasing due to industrial development, such as the introduction of smart factories. AGVs utilizing the wired induction method, which is cheaper and faster than the wireless induction method, are mainly used at production sites. However, the wired guidance AGV operation system has the disadvantage of being limited to small-batch or collaboration-based production sites, since it is difficult to change the driving route. In this paper, we propose an AGV line-scan algorithm that can perform route recognition, dri
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Anisa Harumwidiah, Totok Dewantoro, Lince Markis, and Dedi Wahyu Ashari. "Penggunaan Algoritma Color-Based Filtering Sebagai Pendeteksi Nominal Pada Uang Kertas." Jurnal JEETech 2, no. 1 (2021): 1–6. http://dx.doi.org/10.48056/jeetech.v2i1.149.

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As a legal tender, banknotes have several drawbacks in terms of their use. for people with visual impairments they have, it is very likely that they will be confused, misplaced, and even some ignorant people take advantage of their weaknesses in using the money. Based on this problem, in this paper we propose to make a banknote detector with sound output. The method used for the nominal identification process is the color based filtering algorithm using the Pixy2 CMUcam5 camera and Arduino as the data processor. Tests were carried out on 1000, 2000, 5000, 10000, 20000 and 50000 banknotes. From
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Sailaja G. "Adaptive Headlight Management and Information System for Optimized Intensity and Direction in Electric Vehicles." Journal of Information Systems Engineering and Management 10, no. 14s (2025): 629–35. https://doi.org/10.52783/jisem.v10i14s.2369.

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This paper presents Adaptive Headlight Management Information System for Optimized Intensity and Direction in Electric Vehicles, aimed at optimizing road illumination while minimizing glare for other road users. The system integrates three primary components: the Vital Illumination Sensing System (VISS), the Headlight Adjusting System (HAS), and the Light Intensity Adjusting System (LIAS). The CISS, which consists of a PIXY2 microcontroller and a camera, detects oncoming vehicles and evaluates their headlight intensity using machine learning algorithms. The microcontroller then adjusts the int
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Efemenah, Endurance Idohen, Matthew Olatunde Afolayan, and Ali Umar Umar. "Object distance estimation using a monovision camera." IAES International Journal of Robotics and Automation (IJRA) 12, no. 4 (2023): 325–31. https://doi.org/10.11591/ijra.v12i4.pp325-331.

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In computer vision, most monovision cameras used for estimating the position of an object only estimate the 2D information of the object without the depth information. Estimating the depth information, which is the distance between the target object and the camera is quite challenging but, in this paper, a less computationally intensive method was used to estimate the object's distance to complete the 3D information needed to determine the object's location in cartesian space. In this method, the object was positioned in front of the camera at a sequential distance and was measured directly. T
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Mohd Hasham Ali. "Machine Learning-Based Ball Throwing Machine: An Intelligent Approach to Precision and Adaptability." Journal of Information Systems Engineering and Management 10, no. 44s (2025): 854–62. https://doi.org/10.52783/jisem.v10i44s.8684.

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Sports training and industrial settings have made extensive use of automated ball-throwing machines; however, conventional models' precision and adaptability are limited by their fixed mechanical parameters. This study introduces a novel machine learning-based ball-throwing system that uses AI-driven decision-making and real-time sensor data to dynamically modify its throwing parameters. To maximize accuracy, the system's three components—a Ball Propelling Unit (BPU), a Hydraulic Pitching Assembly (HPA), and a Computer Imaging Device (CID)—work together. Equipped with a gyroscope, LIDAR, and a
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Herlambang, Teguh, Andy Suryowinoto, Moch Zakaria, and Berny Pebo Tomasouw. "DEVELOPING DESIGN OF AUTOMATIC EGG QUALITY DETECTOR USING ROI AND RGB TEMPLATE METHODS." BAREKENG: Jurnal Ilmu Matematika dan Terapan 16, no. 2 (2022): 569–82. http://dx.doi.org/10.30598/barekengvol16iss2pp569-582.

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The eggs of purebred chickens always become the major choice for satisfying people’s needs for nutrients. The way to process them is easy, and the prices are relatively cheap for all people. Since the eggs of purebred chickens are in high demand, a device that can detect their qualities more correctly and accurately is needed, compared to the conventional method. Objective: An automatic egg quality detector was developed through a camera module of pixy cmucam5 by employing ROI and template RGB methods. The implementation of the ROI method could optimize the system performance, thereby accelera
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Herman, Hadian Adam, and Andi Chairunnas. "MODEL ROBOT TROLI OBJECT FOLLOWER MENGGUNAKAN PIXY CMUCAM5 BERBASIS ARDUINO UNO 328P." Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika 16, no. 2 (2019): 263–70. http://dx.doi.org/10.33751/komputasi.v16i2.1620.

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Object Follower Robot is a robot that can follow the object's motion where the object will walk will be followed. The control system uses a motor driver and two dynamos to run the robot based on the color of the object detected by the Pixy CMUCAM5 camera so that it can walk following the object. This system depends on hardware and software. The hardware uses the Arduino Uno 328P as the microcontroller, the ultrasonic sensor as a distance detector, the Pixy CMUCAM5 camera as the color detector of the object, and the HX711 weight sensor as a weighing counter for shopping. As well as software usi
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Nasution, T. H., A. Simon, F. Fahmi, K. Tanjung, M. Zarlis, and N. Noer. "Analysis of the use of CMUcam5 Pixy camera in wheeled soccer robots." IOP Conference Series: Materials Science and Engineering 851 (May 30, 2020): 012034. http://dx.doi.org/10.1088/1757-899x/851/1/012034.

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Pratama, Gralo Yopa Rahmat, and Nuryono Satya Widodo. "Development of Design and Control Manipulator Arm on Hexapod Robot with Smart Vision Sensor." Buletin Ilmiah Sarjana Teknik Elektro 5, no. 3 (2023): 388–97. https://doi.org/10.12928/biste.v5i3.8907.

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In 2021, the Indonesian Search and Rescue Robot Competition underwent significant changes, transitioning from its original name of "Firefighting Robot Contest" to "Search and Rescue Robot Contest." With existing regulations and new races, this robot used in the Indonesian Search and Rescue Robot Contest is an essential addition manipulator robot arm to finish mission victim rescue. With existing study about Design Development and Control Manipulator Arm on this Hexapod Robot with Smart Vision Sensor expected can help the development of the AL-JAZARI team's hexapod robot in mission victim rescu
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Dissertations / Theses on the topic "Pixy2 camera"

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Adeeb, Karam, and Adam Alveteg. "SIYA - Slide Into Your Albums : Design and construction of a controllable dolly camera with object recognition." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264450.

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The scope of this project is to design, construct and build an automated camera rig with object recognition. The project explores if there are any advantages with an automated camera rig compared to a manual one, how an external camera module can be implemented to track an object and under what circumstances the camera module can register the objects for optimal performance. The construction is built to travel along a rail of two iron pipes. A camera is mounted on a small wagon that travels on top of the rail with the help of a DC-motor. On the wagon, an external camera module called Pixy2 det
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Geiberger, Philipp, and Ivan Hanna. "Fimp-bot : Robot för upplockning av cigarettfimpar." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264476.

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Cirka en miljard cigarettfimpar slängs på svenska gator varje år. Detta leder till risker för både människan och miljön som skulle kunna minskas betydligt med robotar som städar bort fimparna. Denna rapport behandlar ett konstruktionsförslag för en robot som utför just denna uppgift. Med tanke på givna begränsningar utvecklas endast funktionaliteten som krävs för att roboten skall kunna utföra sin uppgift i en idealiserad inomhusmiljö. En prototyp konstrueras för att kunna undersöka precisionen av detektering och upplockning av cigarettfimpar med den valda konstruktionen. För att kunna hitta c
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METIN, ALICAN, and 艾利克. "Line Tracking and Object Recognition of forklift Truck by Using Pixy Cameras on a Wheel Robot." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/39634912656761173097.

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碩士<br>南臺科技大學<br>電機工程系<br>105<br>In this thesis, an algorithm is proposed for line tracking and object recognition by using an Arduino controller and a Pixy camera. With the application of a differential-driven wheeled robot, it is possible to track lines and recognize objects which can all be implemented in the industry such as unmanned forklift trucks. The proposed algorithm takes central points by a forward facing pixy camera, in order to perform the movement of tracking successfully with the correlation of a wheeled robot. By tracking the red color, the pixy camera can identify which path t
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Conference papers on the topic "Pixy2 camera"

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Aqillah, Muhammad Fasha, Rina Mardiati, and Aan Eko Setiawan. "Prototype of Robot Movement Navigation System Using Pixy Camera (CMUCAM 5)." In 2022 8th International Conference on Wireless and Telematics (ICWT). IEEE, 2022. http://dx.doi.org/10.1109/icwt55831.2022.9935409.

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Li, Jeng-Han, Yi-Shing Ho, and Jia-Jie Huang. "Line Tracking with Pixy Cameras on a Wheeled Robot Prototype." In 2018 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW). IEEE, 2018. http://dx.doi.org/10.1109/icce-china.2018.8448948.

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Kholil, Moch, Ismanto, Ibnu Athaillah, Heri Priya Waspada, Rafika Akhsani, and Muchamad Saiful Muluk. "Detecting Egg’s Condition by Using Pixy Camera Based on Shell-Color Filtering." In 2023 International Seminar on Intelligent Technology and Its Applications (ISITIA). IEEE, 2023. http://dx.doi.org/10.1109/isitia59021.2023.10220989.

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NIHAD NOAMAN, MOHANAD, Zeyad Yousif Abdoon Al-Shibaany, and SABA AL-WAIS. "Omnidirectional Robot Indoor Localisation using Two Pixy Cameras and Artificial Colour Code Signature Beacons." In CIIS 2020: 2020 The 3rd International Conference on Computational Intelligence and Intelligent Systems. ACM, 2020. http://dx.doi.org/10.1145/3440840.3440849.

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