Visual quality control
for anomaly detection
The costs of quality control can run from between 15-20% to a staggering 40% of a company’s sales revenue.
The costs of quality control can run from between 15-20% to a staggering 40% of a company’s sales revenue.
Manufacturing • Insurance • Healthcare
Various kinds of anomalies
detected in a single shot
Automatic adaptation to new products
– no need for manual tuning
Even complex patterns handled where
traditional methods may fail
Visual quality control technology is key in assuring high‑quality manufactured goods and lowering the internal and external costs of failures.
Even present day solutions are predominantly based on traditional computer vision algorithms, which are often unable to deal with products with complex patterns, like fabrics and wood.
Every alteration in production calls for manual and time‑consuming reconfiguration, hindering the ability to quickly respond to the client’s needs.
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:
If you would like to consult us on the type of AI solution that would best suit your business needs, let’s talk. That’s the easiest way to analyze your business challenges. Leave us a message and we will contact you shortly.