Pleora Reduces Complexity of Deploying Machine Learning Artificial Intelligence for Quality Inspection
Summary
Pleora Technologies today introduced the vision industry’s first artificial intelligence (AI) platform that simplifies the deployment of advanced machine learning capabilities to improve the reliability and lower the cost of visual quality inspection. Through a 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 Pleora AI Gateway. For applications requiring unique AI capabilities, an operating system – built on Pleora’s widely deployed eBUS SDK – provides a user-friendly framework to upload custom skills developed in Python to the gateway. 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. 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.