On July 14, 2021, Velodyne Lidar Inc (NASDAQ: VLDR) announced that it joined the NVIDIA Corporation (NASDAQ: NVDA) Metropolis program for Velodyne’s Infrastructure Solution for analytics and traffic monitoring. It constructed NVIDIA Metropolis to facilitate and bring to market a modern generation of solutions and applications that make the world’s most significant spaces and operations efficient and safer with advancements in AI vision.
Velodyne Lidar’s NVIDIA Metropolis program combines Velodyne’s Intelligent Infrastructure Solution to monitor public spaces and traffic networks.
The explanation addresses the pressing necessity for intelligent city systems to improve road and transportation safety and prevent road accidents. As per the government data, 2020 was the deadliest year for US traffic crashes, with 7.2 percent over a decade.
Velodyne’s solution influences the influential abilities of the NVIDIA Jeston AGX Xavier embedded module in its edge Artificial Intelligence computing system to run the outcome’s proprietary 3D software, which can perceive all vehicles users, cyclists, and pedestrians in real-time.
The embedded module delivers unparalleled computing power of a GPU workstation in a portable, energy profitable module. Moreover, it powers the Intelligent Infrastructure Solution Artificial Intelligence to make up to 50 frames per second and process liar frames to observe, classify in real-time.
Velodyne increases exposure to industry specialists and integration spouses to develop world-class AI-enabled solutions to critically enhance functional efficiency and safety issues by being a part of NVIDIA Metropolis.
Deployment in Austin, Texas
Velodyne’s Intelligence Infrastructure Solution project combined with NVIDIA Corp is set to deploy in Austin. They will use the project to assess the traffic situations and specify assertively safety measures to save lives.
The city used this project as a reliable, multi-model replacement for inductive loop detectors, radars, and cameras. Moreover, Velodyne’s solution creates a real-time 3D roads map and intersections to develop traffic data in various lighting and weather conditions and deliver categorized data monitoring data on cars, trucks, pedestrians, and cyclists.
The first installation in Austin will be at East 7th Street & Springdale Road. The intersection in this road is because of the history of accidents, congestion, and fatality risk.