SUNNYVALE, Calif. (PRWEB) May 12, 2020
Datavia is proud to launch its advanced remote fever detection technology as a part of its real time 3D video analytics platform on June 15, 2020. This is a fully automated and AI-powered solution to help safe re-opening of businesses across the US. This technology helps various government and private entities screen employees and visitors and make sure no one is at risk of being exposed to individuals with high temperatures.
In addition to fever detection this computer vision-based solution notifies people to maintain minimum physical distance in public. Customers can analyze monitoring videos both on-premise and in the cloud. Existing infrastructure for security and surveillance can be used to facilitate quick deployment of the thermal cameras and the software that runs analytics in real time.
Datavia recently received funding to deploy its platform for challenges that are associated with Covid-19 pandemic and re-opening of the economy. Datavia marketplace will be accepting contract requests starting June 1, 2020 and will begin deployment of its product as of June 15, 2020.
“We are committed to protecting the health of everyone and ensuring safe re-opening of the economy.” said Dr. Salar Soroori, Founder and CEO of Datavia Systems. Company’s CTO, Sheldon Smilo is an industry veteran who has dedicated his entire professional life to building technologies that have enhanced quality of life such as medical imaging and industrial machine vision systems for manufacturing.
Datavia's 3Deep technology platform is a B2B software that delivers real-time and three-dimensional computer vision analytics. Datavia is a highly scalable platform that democratizes and makes real-time 3D vision possible across multiple markets that rely on vision-based data analytics such as industrial machine vision, security and surveillance, and healthcare applications. Datavia’s accelerated algorithms are optimized to run anywhere from edge to cloud and are at least 100x faster, consume less power, and are less costly in terms of hardware requirements compared to conventional hardware/software solutions currently in use.