Bachelor and Master Theses

Problem description:

Major problem with chip accumulation, leading to potential disruptions in subsequent operations or entanglement in the conveyor system, affecting production efficiency.

Overall objective:

Implement an image recognition system to detect chip tangles on products and promptly alert operators to prevent production disturbances.

Reseach questions:

-What hardware and software components are required to effectively implement image recognition for detecting chip tangles?

-How can we ensure the accuracy and reliability of the detection system under different operational conditions.

Evaluation metrics:

 -Accuracy and success rate of the image recognition system in identifying chip tangles.

-Response time between detection and operator notification.

-Reduction in production downtime due to chip jamming.

Envisaged solution:

Install a camera connected to a Raspberry Pi or Arduino within the machine cell to monitor parts exiting the turning machine. The system will automatically detect unwanted chop tangles and send real-time alerts to operators for immediate action.

Some experience with image processing would be beneficial.

Students are expected to work both remotely and on site at Leax facility in Köping.

Leax Mekaniska