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.
Semester of Project:
Spring 2025
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.
MS Teams Meeting Link:
https://teams.microsoft.com/l/meetup-join/19%3Ameeting_NzY4ZTgyZDgtZGJkZC00NGYzLWE1NTYtMjBjZDMwOTJhMWUx%40thread.v2/0?context=%7B"Tid"%3A"4130bd39-7c53-419c-b1e5-8758d6d63f21"%2C"Oid"%3A"545016f8-d3ec-465d-873e-ca0fef8822f0"%7D
Project Department:
SOET
Project Presentation Video Embed Code:
Project Sponsor Website:
https://www.deere.com/en/
Project Sponsor:
john-deere1
Team Contact:
tehman@purdue.edu