Pleora Technologies

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Pleora Technologies will demonstrate its embedded AI Gateway at SPIE Photonics West, booth 4263.

The AI Gateway platform offers plug-in machine learning skills for classification, sorting, and defect detection, combined with the flexibility to train and deploy open source or custom algorithms.

End-users and integrators can deploy AI skills without any additional programming knowledge. Through a simple web-based interface, images and data are uploaded to training software on a host PC, which generates a neural network that is deployed onto the AI Gateway.

For applications requiring unique AI capabilities, an operating system – built on Pleora's eBUS SDK – provides a framework to upload custom skills developed in Python to the gateway. The AI Gateway then automatically handles image acquisition from the camera source and sending out the processed data over GigE Vision.

The gateway operating system supports development around open source frameworks like TensorFlow and OpenCV, and uses the built-in Nvidia GPU for hardware acceleration.

The platform is 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, allowing designers to retain existing infrastructure while adding AI skills to their process.

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 platform is built on an Nvidia GPU that is easily upgraded for applications requiring more powerful AI image processing. Multiple gateways can be networked to enable distributed image processing to make use of the multicast capabilities of GigE Vision.