Introduction of AI to Quality Inspection of Consumable Raw Material

• Analytics & Modeling - Computer Vision Software

• Automotive

• Discrete Manufacturing

• Object Detection

• Software Design & Engineering Services

In the past, it was necessary for inspectors to visually detect minute foreign substances that rarely got mixed in with raw materials (plants) flowing down the production line.

The challenges are:

1. difficult to detect visually by inspectors - It was necessary for inspectors to visually inspect foreign objects as small as 1mm, which made it difficult to detect them.

2. existing inspection devices cannot cope with the problem - In addition to the fact that the foreign matter is microscopic, both the raw material and the foreign matter come in multiple types and colours and have unspecified shapes, so rule-based image inspection systems could not handle them.

3. different conditions for each factory and line - The customer has multiple factories and lines, each with different types of foreign matter, different conveyor speeds, and different inspector skills.

In order to solve the above issues, the company has realized unmanned inspection with high quality by introducing fixed cameras installed on the production line and AI algorithm to determine good and bad products.

• [Process Optimization - Real Time Monitoring]
  

  Automation of foreign material detection. AI enables inspection quality equivalent to that of highly skilled workers.

• [Efficiency Improvement - Operation]
  

  Compatible with multiple types of raw materials and foreign substances. By learning from AI, the company is able to support the detection of multiple types of raw materials and foreign substances.

• [Product Improvement - Scalability]
  

  The customer can respond to other plants/lines with different conditions by himself. The company has introduced a system that enables the customer to respond to other lines with different types of foreign materials and different conveyor speeds.