Pleora Technologies introduced what they deem the vision industry's first artificial intelligence (AI) platform that simplifies the deployment of advanced machine learning capabilities to improve quality inspection.
With Pleora's new gateway, simple web-based interface, images, and data are uploaded to "no code" training software on a host PC, which generates a neural network that is deployed onto the gateway.
For applications requiring unique AI capabilities, Pleora's eBUS SDK provides a framework to upload custom skills developed in Python to the gateway. Pleora's AI Gateway then automatically handles image acquisition from the camera source and sends the processed data over GigE Vision. The gateway operating system supports development around popular open source frameworks like TensorFlow and OpenCV and leverages the built-in NVIDIA GPU for hardware acceleration.
It’s designed to work with existing inspection hardware and software. The gateway interfaces with GigE Vision, USB3 Vision, Camera Link, and MIPI cameras from any vendor. The Pleora gateway receives the camera feed, automatically performs the deployed plug-in or custom AI skill, and transmits the pre-processed data over a real-time GigE Vision connection to the existing inspection application.
The company will be demonstrating its new embedded AI Gateway at SPIE Photonics West 2020 (Booth #4263, Moscone Center, San Francisco, Feb. 4-6) and ATX West Conference 2020 (Booth # 4255, Anaheim Convention Center, Anaheim, Feb. 11-13).
For more information, visit https://www.pleora.com/products/artificial-intelligence/ai-gateway/.
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