FH Cameras are designed for use in all types of object inspection, position/orientation, code reading and measurement applications, this compact camera and controller system is easily integrated into almost any machine or robot. The system is uniquely capable of providing faster, more precise work throughput – to give you more efficiency, less cost, and more.

The FH Photometric Stereo Light can be used with standard or high-resolution cameras up to 20.4 Mpix. To detect dents and surface damage with high accuracy. Four lights are lit in turn, and variations in brightness are analyzed. Printed characters with little variation in brightness even under different illumination directions are extracted as texture, and a dent with huge variation in brightness is extracted as a shape

Omron’s FH rule-based vision tools lead the way in modern industrial automation, delivering cutting-edge solutions for quality control, inspection, and process optimization. Utilizing advanced algorithms and precise imaging technology, these tools execute complex tasks with exceptional accuracy and reliability. Engineered for user-friendliness, Omron's vision tools ensure seamless integration into existing systems and require minimal setup time.

Unlock the full potential of AI-driven automation with the FH Vision controller, empowered by the carefully selected Intel CPU offering and enhanced by the OpenVINO toolkit. This powerful synergy allows you to deploy sophisticated AI models directly on the FH Vision controller, delivering exceptional real-time image processing and analysis. The OpenVINO toolkit optimizes performance, enabling seamless execution of deep learning inference with minimal latency. This translates to faster, more accurate decision-making, improved operational efficiency, and superior quality control. Elevate your automation processes with Omron’s FH Vision controller, where cutting-edge AI meets Intel’s advanced computing capabilities through the transformative OpenVINO toolkit.

AI fine matching identifies a feature that is not included in good products as a defect. AI learns images of good products with variations and generates an AI Model. Every time an inspection is carried out, AI reconstructs a model that is presumed to be a good product. AI extracts a difference between the reconstructed good product image and a captured image to identify a Defect, reducing over detection..