World’s First Industrial Smart Camera Powered by Deep Learning Introduced

Deep Learning World’s First Industrial Smart Camera Powered by Deep Learning Introduced

16.07.2020Editor: Nicole Kareta

Cognex Corporation, a specialist in industrial machine vision, introduces a new embedded vision system. A first-of-its kind solution, the In-Sight D900 features Cognex’s ViDi deep learning software inside an In-Sight industrial-grade smart camera.

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The system does not require a PC or deep learning expertise to deploy.
(Source: Cognex Corporation)

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.”

Despite a high production accuracy, die casting foundries have always take into consideration that faults may occur in the production, for example due to an inappropriate chemical composition of the melt, the modification of machine and process parameters and due to wear on the die casting molds. (NürnbergMesse)

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 image samples, 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 used for automating complex inspection applications across a range of industries including automotive, consumer electronics, consumer products, packaging, food and beverage, medical devices, and logistics.

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