Automated visual inspection and measurement system with next generation deep learning video analysis. Versatile, scalable, and modular platform contends with the most challenging inspection applications. The simple interface enables non-experts to capture and label their image dataset, optimise training parameters, and train inspection models. The inspection models can be used to identify, detect, classify, measure, and count a wide range of part defects. Decision-making can be completely automated or used to assist the operator in making the final decision.
Automate your inspection process and significantly increase throughput and reduce material waste. Reduce inspection costs and overheads. Remove operator error, eliminate risk, avoid product recalls and protect your reputation.
Many visual inspection methods rely on the human eye, leading to subjective judgements on critical decisions. AI inspection models do not tire or lose concentration, enabling the Acumen AI to overcome the cognitive overload often experienced by human operators.
Visual inspection processes can be automated to keep up with the pace of global demand. The Acumen AI automatically detects and measures defects over a wide zoom range and FOV on multiple sample parts. It can also integrate with industrial devices to operate on a 24/7 basis.
Choose from object detection, anomaly detection, instance segmentation and classification algorithms with architectures suitable for processing speed or accuracy requirements.
Easily assess and optimise the model training to improve overall performance using valuable metrics such as precision, recall and training loss.
Acumen AI inspection models can be configured/recalled with system settings such as magnification and illumination, along with threshold settings, reporting format and more for optimal efficiency and robustness .
Talk to one of our team about your specific inspection needs.