Our group created a small conveyor belt "kit" that uses a Raspberry PI and an Arduino to sort ping pong balls by colour. All components besides the fasteners and the electronics were 3D printed, all using PLA+. The conveyor had an automatic feeding system and sorted the balls using basic machine vision and actuators.
The basis behind the project was that our team wanted to find a way to introduce automation, manufacturing, and machine vision to students before university. This would allow for students to get a more hands-on experience with some manufacturing concepts, helping them to decide if they want to pursue engineering after they finish high school.
Our poster was made to illustrate and explains some of the key components of the project. The picture of the project itself is an older model as we were continually updating and improving the design as we worked. The computer vision section shows how the ball is identified only by colour, as well as a graph that tracks the number and colour of balls seen.
This video the project running and a monitor to show the machine vision as it works. As the balls are seen they are tracked and sent along until they reach the linear actuator which pushes them into their corresponding bucket.
This video shows a timelapse of some of the parts that were 3D printed during the project. As part of the kit, students could get the parts with the kit or the part files to 3D print their own pieces.Â