Box Defect Detection
Enabling visual quality inspection in manufacturing and logistics
ENSURE YOUR PRODUCTS QUALITY REQUIREMENTS
Machine Vision and Deep Learning are changing the field of Automated Inspection in Manufacturing and serve as crucial technology of Warehouse Management. Visual Inspection is considered a high priority activity due to the potentially high cost of any errors that may arise via inspection such as injury, fatality, loss of expensive equipment, scrapped items, rework, or a loss of customers. The visual inspection solution combines Konica Minolta’s AI-based technology for surface quality inspection with Mobotix IoT cameras to ensure that plastic delivery boxes meet high quality standards.
EVERYTHING, FROM EVERYWHERE, IMMEDIATELY AT HAND
- locates all defects and anomalies, such as the contamination of delivery boxes occurring on the production line
- identifies their extent and severity
- commands the separator in the production line to remove the defective box from the line or send the dirty box for immediate washing
6 REASONS TO CHOOSE BOX DEFECT DETECTION
1. To avoid idle-time
Provide 24/7 unattended service
2. To raise quality of production
Minimize human error
3. To make the production more transparent
Provide annotated real-time results
4. To identify the most efficient ways
Monitor success of set processes and benchmark against different locations
5. To raise efficiency of manufacturing
Enable better planning of machines utilization in real-time
6. To make the production predictable
Provide analytics and statistics on number of detected items and type of defects
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