Medical, medical technology and pharmaceutical products are subject to the strictest regulatory and legal requirements (GMP, FDA, EMA) and have a zero-defect tolerance in terms of product safety. Even the smallest visual deviations - from particles in liquids to damaged blister packs - can have serious consequences: Production stops, product recalls and loss of confidence among patients and authorities.
People's health is at stake.
Artificial intelligence (AI) is revolutionizing visual quality control: automated image processing systems inspect each unit in real time, detect deviations that would escape the human eye and deliver consistently classified and documented results. This not only detects errors, but also identifies patterns that allow conclusions to be drawn about process optimization and therefore greater efficiency.
36ZERO Vision brings deep learning to automated series production.
The cloud platform is used to develop AI models individually for each application. It is initially trained with known defect types and can be continuously improved through interaction with employees. It adapts flexibly to new product variants, applications and production conditions and standardizes quality decisions worldwide.
Images from industrial cameras are analyzed autonomously, on-premise and in real time using the trained models, error patterns are detected and products are objectively evaluated. Surfaces, packaging, accuracy of fit and completeness can be checked without delay - faster and more precisely than by the human eye or traditional inspection systems such as anomaly detection, which declare any deviation as a defect.
