In order to help mitigate the spread of COVID-19 pandemic, FPGA-based DinoEdge AI platform, a Health & Safety Monitoring Solutions, was launched by DinoPlusAI. The company is a leading real-time edge computing AI platform provider that leverages FlextyX, an FPGA AI Inference Accelerator based on U280 cards and Xilinx Alveo U50.
The FlextyX supports a variety of AI models, such as recurrent neural networks (RNN) and convolutional neural networks (CNN), particularly long short-term memory (LSTM). It also supports different AI applications, such as speech recognition and video analytic. FlextyX platform that includes a powerful AI inference engine hardware, driver, API, compiler and optimization tools (AutoML, sparsity and low-bit quantization), support for open source frameworks, features an open full-stack for AI (OSA).
DinoEdge AI platform, provides Health & Safety monitoring solution that is integrated with Infrared Thermal Imaging Cameras. It is designed for contactless rapid body temperature measurement screening across multiple people with efficiency as high as 200 persons per minute and accuracy of ±0.3℃ providing real-time temperature monitoring. Its AI algorithm accurately locates human face to reduce false alarm. The Safety aspect of the solution is based on conventional camera, providing additional safety monitoring features like social distancing, people counting, intrusion detection, etc. The monitoring solution is scalable to support multiple cameras and different applications based on various AI algorithms.
Founder and CEO of DinoPlusAI Inc. Jay Hu on the occasion of the release, expressed his delight by stating that they are very proud to be releasing their Health & Safety Monitoring Solutions based on DinoEdge AI platform to the market. A comprehensive solution that enables easy and rapid deployment to aid the community’s recovery from COVID-19 during the current environment where health and safety monitoring is very critical.
Founded in 2017, DinoPlusAI designs and produces AI processors and the software required to run them in data centers. Their unique approach optimizes for inference with the focus on performance, power efficiency, and ease of use; and at the same time their approach enables cost-effective training. Its unique hardware solution paired with a complete end-to-end software stack enables businesses to deploy latency sensitive applications efficiently and affordable on edge. From on premise servers to the edge cloud, DinoPlusAI focuses on latency optimized AI accelerating on edge by building high performance computing platform for the rapidly growing AI edge computing market with ultra-low and deterministic latency.
To know more, visit: http://dinoplus.ai/
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