Deep Learning has endowed machine vision systems with superior perception and understanding capabilities, which has greatly promoted the development and application of machine vision. SICK, one of the leading manufacturers of smart sensors and sensing technology solutions for industrial use, has integrated deep learning technology into SICK vision hardware and software, covering 2D and 3D vision, smart cameras and IPC-based cameras. The integrated deep learning capabilities include classification, anomaly detection, target location, and OCR. These features provide solutions for most industrial vision complex inspection applications.

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SICK Nova InspectorP 2D vision software is equipped with 2D intelligent cameras of the SICK Nova InspectorP series. The software not only contains traditional machine vision processing functions, but also integrates deep learning functions of classification and anomaly detection. In other words, all processes of deep learning technology are collected in the intelligent camera. It includes: image acquisition, annotation, training, evaluation, and recognition, and the training time is short (the fastest within 30 seconds), the operation is convenient, and the process is simple, even engineers without deep learning experience can quickly get started with the whole process.