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VisionPro ViDi is the first deep learning-based image analysis software designed specifically for factory automation. Combining artificial intelligence (AI) with VisionPro and Cognex Designer Software, VisionPro ViDi solves complex applications that are too difficult, tedious, or expensive for traditional machine vision systems. This novel approach, which tolerates deviation and unpredictable defects, beats even the best quality inspectors and is ideal for: - Defect detection - Texture and material classification - Assembly verification and deformed part location - Character reading, including distorted print

The In-Sight 2800 vision system combines deep learning technology with traditional rule-based vision tools to solve a wide range of applications. From simple presence/absence detection to advanced categorization and sorting tasks, In-Sight 2800 provides an easy to deploy solution for error-proofing. Designed for factory automation, In-Sight 2800 enables manufacturers of all size to: — Increase product quality – Catch small, subtle defects with optimized error detection. — Maximize operational efficiency – Leverage your existing workforce and keep your lines running with fast, intuitive job setup. — Streamline integration – Take the guesswork out of image optimization and identify the correct combination of accessories in a few button clicks. Automate error detection in minutes – no experience required

The In-Sight D900 is a smart camera powered by In-Sight ViDi software designed specifically to run deep learning applications. This embedded solution helps factory automation customers easily solve challenging industrial OCR, assembly verification, and random defect detection applications anywhere on the line that have gone uninspected because they are often too difficult to program with traditional, rule-based machine vision tools. In-Sight ViDi applications are deployed on the In-Sight D900 smart camera without the need for a PC, making deep learning technology accessible to non-programmers. It uses the familiar and easy-to-use In-Sight spreadsheet platform which simplifies application development and factory integration.

The FPGA-based Mustang-F100 accelerator card from ICP Deutschland is designated for industrial inference systems. It is primarily used for deep learning inference in real time, for video and image processing as well as for the analysis of machine and sensor data. The Mustang-F100 is based on the Intel® Arria® 10 GX1150 FPGA and is equipped with 8GB on-board DDR4 RAM. Due to its parallelism and its high degree of configuration, which is inherent in the FPGA, the Mustang-F100 can handle changing workloads and different floating-points. It also supports a variety of topologies such as AlexNet, ResNet or Yolo Tiny. From classic object recognition to video and image classification to facial recognition or image segmentation, there are virtually no limits to the target application.