Open AccessDevelopment of Automated Camera Platform for Optimization of Machine Vision with IoT
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1348.0982s1119
Subject(s) - smart camera , artificial intelligence , computer science , computer vision , controller (irrigation) , machine vision , actuator , position (finance) , process (computing) , focus (optics) , camera module , camera auto calibration , rotation (mathematics) , camera resectioning , real time computing , physics , optics , finance , agronomy , economics , biology , operating system
Most industrial cameras lack the ability to perform auto-focus function and this pose a problem to picture analytics. As a result, pictures taken are unclear, and this pose a problem for analytics. This paper describes the process of developing an automated camera platform based on two axis movement. The design of the platform has been produced with a 3D model, and the model was further developed into working system. The system is controlled by using a Delta programmable logic controller (PLC) and programmed with WPLSoft using ladder logic. Two linear actuators were used to move the camera from one position to another position and the lighting system was also designed to improve the lighting environment for the camera. The system was tested for accuracy and repeatability on the position and the speed of the linear actuator. The result shows that the system is applicable and reliable. IoT has been an added advantage to the system for better control. The implementation of automated camera platform is therefore realistic with over 95% accuracy in terms of position and rotation.