The quality control part of the manufacturing cycle is still a limited and difficult task. This is because they had to rely on human work and visual functions to adapt to the ever-changing products and environments. Artificial intelligence can solve these complex problems.
The model with labeled images of customer's fair quality and defective products can automatically distinguish good and defective parts from the assembly line, and take immediate action when a defect is detected. This is a very valuable solution for dynamic environments such as the continuously changing manufacturing industry.
Data | Data type | Content | Use mode |
---|---|---|---|
Input data | Zip, JPG, PNG, etc. | Images of fair quality and defective products | API |
Output data | CSV | Product quality prediction | API |
Payment | Subscription method | Attached file upon application |
---|---|---|
Prepaid charge | Online | Customer data required for model creation |
Application procedure |
---|
|