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Vision-based Object Tracking Experiment for Students to Perform Simple Industrial Robotic Automation

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2019 ASEE Annual Conference & Exposition


Tampa, Florida

Publication Date

June 15, 2019

Start Date

June 15, 2019

End Date

June 19, 2019

Conference Session

Manufacturing Division Technical Session 1

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Paper Authors


Richard Chiou Drexel University (Eng. & Eng. Tech.)

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Dr. Richard Chiou is Associate Professor within the Engineering Technology Department at Drexel University, Philadelphia, USA. He received his Ph.D. degree in the G.W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. His educational background is in manufacturing with an emphasis on mechatronics. In addition to his many years of industrial experience, he has taught many different engineering and technology courses at undergraduate and graduate levels. His tremendous research experience in manufacturing includes environmentally conscious manufacturing, Internet based robotics, and Web based quality. In the past years, he has been involved in sustainable manufacturing for maximizing energy and material recovery while minimizing environmental impact.

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Sowrirajan Sowmithran Drexel University (Eng. & Eng. Tech.)

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The paper describes the details of a student vision project at XXXX University for a robot to pick up parts from the conveyor belt and place them accurately into a drop-off fixture. In an effort to generate interest within the robotic program and from local industries, the XXXXXXXXXXXXXXX University responded to strength its curriculum by adding new innovative components in its robotics and automation course, such as machine vision. A key component in the robotics and automation course is the hands-on experience where student teams use and apply the vision systems hardware and software in an automated work-cell. In addition, the students are taught the principles of vision integration with other control devices, such as robots and Programmable Logic Controllers (PLCs). The experiment results make the students understand the vast use of sensor data, combining the power of the Jevois Smart Machine Vision camera. This data can be used by any autonomous robot to reach to the object of interest or for any user to find an object location. This project was embarked as a collaborative effort between the undergraduate students and a graduate student at XXXX University. Technical issues, collaborative efforts, and student learning outcomes in the execution of this project are discussed in the paper.

Chiou, R., & Sowmithran, S. (2019, June), Vision-based Object Tracking Experiment for Students to Perform Simple Industrial Robotic Automation Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33539

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