The self-contained system is designed to solve a broad range of complex in-line inspection applications including optical character recognition (OCR), assembly verification, and defect detection.
“Sophisticated manufacturers are increasingly turning to deep learning vision to solve inspections that are too complicated, time-consuming, or costly to program using human or rule-based machine vision,” said Joerg Kuechen, Senior Vice President of Vision Products at Cognex. “By embedding our ViDi deep learning software on In-Sight, customers can solve even the most complex visual inspections quickly, easily, and more cost-effectively.”
Combining the self-learning ability of a human inspector with the robustness and consistency of a vision system, the In-Sight D900 expands the limits of what can be inspected in factory automation. The system, which can be setup using a small number of sample images, leverages Cognex’s familiar and easy-to-use spreadsheet platform and does not require a PC or deep learning expertise to deploy.
The In-Sight D900 is ideal for automating complex inspection applications across a range of industries including automotive, consumer electronics, consumer products, packaging, food and beverage, medical devices, and logistics.