Harnessing the power of recent developments in deep learning, deepsense.ai offers a solution that works well for complex patterns while eliminating the tedious manual configuration required by traditional computer vision algorithms. Our visual quality control solution is developed to best suit the specific client’s needs:
- The system’s architecture is designed to perform best in the client’s environment.
- As long as the goods produced are from the same domain, the system can be automatically reconfigured by merely presenting it with good examples. This is a key advantage whenever the defective products are rare or the anomalies are not reproducible.
- After a short learning phase, the system is ready to be used in production.
- The solution can be shipped as an all-in-one system addressing multiple use cases, including anomaly localization, defect classification and assessment of the severity and quantity of defects.