Development of Automated Camera Platform for Optimization of Machine Vision with IoT
Alvin Yap Chee Wei1, Alex Haw Wai Kit2, Gabriel Yosua Rantung3

1Alvin Yap Chee Wei, School of Engineering, Asia Pacific University, Kuala Lumpur, Malaysia.
2Alex Haw Wai Kit, School of Engineering, Asia Pacific University, Kuala Lumpur, Malaysia.
3Gabriel Yosua Rantung, School of Engineering, Asia Pacific University, Kuala Lumpur, Malaysia.
Manuscript received on 16 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 2819-2824 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B13480982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1348.0982S1119
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Abstract: 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.
Keywords: Automated Camera Platform, Programmable Logic Controller (PLC), Linear Actuator, Internet of Things (IoT).
Scope of the Article: IoT