The objective of our project is to create a computer vision machine learning system that notifies the client when weld cracks and failures occur. The system should be compatible with the current track system at John Deere for seamless implementation and have self-sufficient power that lasts for the entire conveyor ride.
Team Photo
Team Poster
Problem Statement/Summary
Through our team's communication with William Serre, the representative of John Deere Moline, IL. Plant, we have located an engineering problem of needing to identify conveyor malfunctions before any failure occurs.