Visual inspection is one of the most commonly used approaches in the production process. It entails visually inspecting the components of an assembly line to detect problems.
AI can help to increase the accuracy and efficiency of defect detection and can provide real-time monitoring of the manufacturing process to quickly detect and address defects to ensure that products meet predetermined specifications.
The high-priority business domains where automated visual inspection is prioritized include airport screening, the food industry, pharmaceutical, and semiconductor manufacturing.
Main Issues
- Data quality
- Data bias
- Algorithm performance
- Integration challenges
- Hardware cost
Advantages
- Improved accuracy
- Increased efficiency
- Reduced costs
- Customization
- Data-driven insights
