Detecting and Alerting Food Manufacturing Defects
THE CHALLENGE
- A manufacturer of pies was encountering irregular pie quality as they emerged from the production line.
- Some of the pies were not getting the required amount of filling negatively impacting the customer experience.
TECHNOLOGY USED
- Computer Vision
- Machine Learning
- Azure
THE SOLUTION
Using deep learning algorithms, visionAI transformed the manufacturer’s existing cameras into an automated quality control system that monitors the conveyor belt and alerts on empty pies.
BUSINESS OBJECTIVE
Empty pies create a bad experience for customers and reduce foot traffic to stores. The pie manufacturer requires a consistently high-quality, zero-defect output.
THE RESULT
The system collects and analyzes data about product quality and performance, providing valuable insights that can be used to improve processes and reduce defects over time.
