EasyVision features what is claimed to be the industry's most efficient edge AI accelerator, the InferX, along with ready-to-use models that are trained to perform common object detection capabilities such as hard-hat detection, people counting, face mask detection and license plate recognition.
"There is an explosive demand today for edge vision solutions that bring AI capabilities to a wide range of products of services – yet many companies lack the expertise or data science know-how to develop and train models and then integrate them with existing AI accelerators," said Dana McCarty, Vice President of Sales and Marketing for Flex Logix's Inference Products. "With EasyVision, we are essentially providing an AI/ML 'platform in a box' that has the AI model already trained and ready to integrate into an existing application and it's also been fine tuned to work with a hardware accelerator that is fast and accurate."
"Flex Logix's EasyVision solution provides a turnkey solution, converting our data to a trained and quantized model, that met our throughput and accuracy requirements," said Jack Duan, CTO and co-founder of Emerging Risk Analytics (ERA). "We are able to quickly build an AI inference solution with low-power-consumption requirement that avoids the GPU-caused thermal headaches we've been struggling with."
EasyVision is now available as a complete solution that includes a server, accelerator card, and all the software needed to do the object detection. In the future, EasyVision will also be offered as standalone accelerator cards.
EasyVision platforms are based on Dell and HPE computing hardware and include a USB Camera for quick and easy trials and production deployments. A set of initial trained models including models for hardhat detection, people counting and others, are provided with the EasyVision platform. The AI vision model library will be continually refreshed over time in response to customer requirements.