Summary
Presented in collaboration with Xilinx partner Aupera Technologies, this Webinar will focus on the advantages of Kria SOMs in the processing of multiple streams of video for object and pedestrian re-identification (ReID) and tracking in the context of safety, authorized access, and analytics
for Smart Cities, Smart Buildings, Smart Retail, Healthcare, and Social Distancing use-cases.
During this webinar, we will discuss how the Kria suite of applications and Alveo can be combined to accelerate the development of truly scalable edge deployments to suit any use case, from the smallest retail outlet to the largest Smart City.
One of the premier examples of this is
Aupera Technologies’ commercially deployed facial recognition algorithm which offers unparalleled performance on the “Labeled Faces in the Wild” benchmark.
But wait, there is more…..
it also is now deployed on Kria SOMs! The Aupera Kria SOM Accelerated Application is a complete and highly-optimized AI Box implementation that leverages Aupera’s proprietary video-processing pipeline and multi-stage AI algorithm.
Through demonstrations and presentations, we will showcase the performance and benefits of Aupera’s algorithm.
Supporting ingress from multiple RTSP IP cameras and additional features such as mask detection, this Accelerated Application provides system integrators with a production-ready solution that can easily be customized using Aupera’s Linux API.
