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Automated Palletizing

We automate the process of palletizing objects by using Computer Vision to increase cost and space efficiency while reducing the requirement of manual labour and accidents in a warehouse.

Client
Professor(s) Gino Rinaldi Kinchit Patel
Program Electromechanical Engineering Technician
Students Jeet Sheta (Lead), Aman Chaubey, Yashkumar Patel, Yerli Velez

Project Description:

After one of the team members personally experienced workplace injury, we were motivated to work on automating the process of palletizing objects by using Computer Vision. Implementing this proof of concept in industry can reduce time wastage and help reduce the number of workplace injury incidents by eliminating the need to lift heavy boxes manually.

This project aims to use Camera and Computer Vision instead of colour to differentiate different types of boxes. The Arduino Nano handles the logical reasoning and decides the optimal placement of boxes to save space. The cost efficiency of our project helps cheaper installation and maintenance. We used the FANUC LR Mate 200iD Robot which is a very powerful and advanced robotic arm capable of performing complex industrial tasks with ease.


Short Description:



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We use Computer Vision to detect the size of box and Arduino to do logical processing and optimising the arrangement. The FANUC LR Mate 200iD is an advanced robot arm capable of doing complex tasks.


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