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All Journal JINAV: Journal of Information and Visualization
Velingkar, Adhish
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science Mathematics

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Machine Vision Enabled Bot for Object Tracking Patil, Rupali; Velingkar, Adhish; Parmar, Mohammad Nomaan; Khandhar, Shubham; Prajapati, Bhavin
JINAV: Journal of Information and Visualization Vol. 1 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav155

Abstract

Object detection and tracking are essential and testing undertaking in numerous PC vision appliances. To distinguish the object first find a way to accumulate information. In this design, the robot can distinguish the item and track it just as it can turn left and right position and afterward push ahead and in reverse contingent on the object motion. It keeps up the consistent separation between the item and the robot. We have designed a webpage that is used to display a live feed from the camera and the camera can be controlled by the user efficiently. Implementation of machine learning is done for detection purposes along with open cv and creating cloud storage. The pan-tilt mechanism is used for camera control which is attached to our 3-wheel chassis robot through servo motors. This idea can be used for surveillance purposes, monitoring local stuff, and human-machine interaction.
Co-Authors Khandhar, Shubham Parmar, Mohammad Nomaan Patil, Rupali Prajapati, Bhavin