AI supports early error detection during end-of-line testing
Summary
As the AI and sensor are fused together on one circuit board, the data can not only be evaluated in real time (which is a great advantage for test cycles that sometimes take seconds), but also in much greater depth. "In the case outlined above, a high-resolution ultrasonic sensor solution is ideal for detecting faults at an early stage and keeping the costs caused by faulty parts as low as possible. “We were able to achieve a detection rate of over 95% early on in the EOL testing chain with a specially developed ultrasonic sensor solution at an automotive manufacturer, which in turn contributed to high savings,“ says Gromov, reporting concrete successes. An AI-based, high-resolution ultrasonic sensor system for EOL testing is suitable for many industries: From automotive, truck, and mechanical engineering to ship and aircraft construction, the early selection of faulty parts can save considerable costs. • Real-time capable and fast in the test cycle • Higher error coverage thanks to complex pattern recognition and in-depth data evaluation compared to classic sensor technology and algorithms, better screening rate • No requirement for network infrastructure and no ongoing cloud costs