ManufacturingComputer VisionYOLOv8Edge AI
Computer Vision Quality Control
A high-speed visual inspection system designed for a food packaging line. Using advanced computer vision, it inspects every single product on the conveyor belt for seal integrity, label placement, and foreign object contamination.
Accuracy
99.8%
Speed
500 ppm
Labor Saved
12 FTE
ความท้าทาย
Manual inspection was slow, inconsistent, and prone to human fatigue. The factory had a 2% defect leakage rate, leading to customer complaints and costly product recalls.
วิธีการแก้ไขปัญหา
We deployed a custom Computer Vision station on the production line.
1. **High-Speed Imaging**: Utilized industrial global-shutter cameras to capture blur-free images at high speed.
2. **Deep Learning Model**: Fine-tuned a YOLOv8 model to recognize 15 different types of defects (scratches, dents, misaligned labels).
3. **Automated Rejection**: Connected to a pneumatic ejector to instantly remove defective items from the line.
4. **Analytics Dashboard**: Provided real-time quality metrics to the plant manager for root cause analysis.
ผลลัพธ์ที่ได้
- Achieved 99.8% defect detection accuracy, surpassing human performance.
- Increased production line speed by 30% as manual inspection bottlenecks were removed.
- Reduced labor costs by reassigning 12 QC inspectors to higher-value tasks.
- Eliminated customer complaints related to visible defects.
เทคโนโลยีที่ใช้
ManufacturingComputer VisionYOLOv8Edge AI