Rekor Uses NVIDIA Technology for Traffic Relief and Roadway Safety as Texas Takes in More Residents.
For Texas and Philadelphia highways, the company is using AI-driven analytics utilizing NVIDIA AI, Metropolis, and Jetson, which might lower fatalities and enhance quality of life.
Jobs, comedy clubs, music venues, barbecues, and more are all attracting visitors to Austin. Traffic congestion, however, are a major city blues that have come with this growth.
Due to the surge of new inhabitants moving to Austin, Rekor, which provides traffic management and public safety analytics, gets a direct view of the growing traffic. To assist alleviate the highway issues, Rekor collaborates with the Texas Department of Transportation, which is working on a $7 billion initiative to remedy this.
Based in Columbia, Maryland, Rekor has been using NVIDIA Jetson Xavier NX modules for edge AI and NVIDIA Metropolis for real-time video understanding in Texas, Florida, Philadelphia, Georgia, Nevada, Oklahoma, and many other U.S. locations, as well as Israel and other countries.
Metropolis is a vision AI application framework for creating smart infrastructure. Its development tools include the NVIDIA DeepStream SDK, TAO Toolkit, TensorRT, and NGC catalog pretrained models. The tiny, powerful, and energy-efficient NVIDIA Jetson accelerated computing platform is ideal for embedded and robotics applications.
Rekor‘s initiatives in Texas and Philadelphia to use AI to improve road management are the most recent chapter in a long saga of traffic management and safety.
Reducing Rubbernecking, Pileups, Fatalities and Jams
Rekor Command and Rekor Discover are the two primary products that Rekor sells. Traffic control centers can quickly identify traffic incidents and areas of concern using Command, an AI-driven software. It provides real-time situational awareness and notifications to transportation authorities, enabling them to maintain safer and less congested municipal roads.
Utilizing Rekor‘s edge technology, discover completely automates the collection of thorough vehicle and traffic data and offers strong traffic analytics that transform road data into quantifiable, trustworthy traffic information. Departments of transportation may better plan and carry out their next city-building projects by using Rekor Discover, which gives them a comprehensive picture of how cars travel on roads and the effect they have.
Command has been spread around Austin by the corporation to assist in problem detection, incident analysis, and real-time response to traffic activities.
Rekor Command receives a variety of data sources, including weather, linked vehicle information, traffic camera video, construction updates, and data from third parties. After that, it makes links and reveals abnormalities, such as a roadside incident, using AI. Traffic management centers receive the data in processes for evaluation, verification, and reaction.
As part of the NVIDIA AI Enterprise software platform, Rekor is embracing NVIDIA’s full-stack accelerated computing for roadway intelligence and investing heavily in NVIDIA AI and NVIDIA AI Blueprints, reference workflows for generative AI use cases constructed with NVIDIA NIM microservices. NVIDIA NIM is a collection of user-friendly inference microservices designed to speed up foundation model installations on any cloud or data center while maintaining data security.
Rekor is developing AI agents for municipal services, namely in areas like traffic control, public safety, and infrastructure optimization, leveraging the NVIDIA AI Blueprint for video search and summarization. In order to enable a variety of interactive visual AI agents that can extract complicated behaviors from vast amounts of live or recorded video, NVIDIA has revealed a new AI blueprint for video search and summarization.
Philadelphia Monitors Roads, EV Charger Needs, Pollution
The Philadelphia Industrial Development Corporation (PIDC), which oversees the Philadelphia Navy Yard, a famous tourist destination, has difficulties managing the roads and compiling information on new constructions. According to a $6 billion rehabilitation proposal, the Navy Yard property will bring thousands of inhabitants and 12,000 jobs with over 150 firms and 15,000 workers on 1,200 acres.
PIDC sought to raise awareness of how road closures and construction projects influence mobility and how to improve mobility during major events and projects. PIDC also sought to improve the Navy Yard’s capacity to measure the effects of speed-mitigating devices placed across dangerous sections of road and comprehend the number and flow of car carriers or other heavy vehicles.
In order to handle any fluctuations in traffic, Discover offered PIDC information about further infrastructure initiatives that must be implemented.
By knowing how many electric cars are coming into and going out of the Navy Yard, PIDC can make informed decisions about future locations for the installation of EV charging stations. Navy Yard can better plan possible locations for EV charge station deployment in the future by using Rekor Discover, which gathers data from Rekor’s edge systems which are constructed with NVIDIA Jetson Xavier NX modules for powerful edge processing and AI to understand the number of EVs and where they’re entering and departing.
By examining data supplied by the AI platform, Rekor Discover allowed PIDC planners to produce a hotspot map of EV traffic. The solution uses Jetson and NVIDIA’s DeepStream data pipeline for real-time traffic analysis. To further improve LLM capabilities, it makes advantage of NVIDIA Triton Inference Server.
The PIDC sought to reduce property damage and address public safety concerns about crashes and speeding. When average speeds are higher than what is recommended on certain road segments, traffic calming measures are being implemented using speed insights.
NVIDIA Jetson Xavier NX to Monitor Pollution in Real Time
Rekor’s vehicle identification models, which were powered by NVIDIA Jetson Xavier NX modules, were able to follow pollution to its origins, moving it one step closer to mitigation than the conventional method of using satellite data to attempt to comprehend its placements.
In the future, Rekor is investigating the potential applications of NVIDIA Omniverse for the creation of digital twins to model traffic reduction using various techniques. Omniverse is a platform for creating OpenUSD applications for generative physical AI and industrial digitization.
Creating digital twins for towns using Omniverse has significant ramifications for lowering traffic, pollution, and traffic fatalities all of which Rekor views as being very advantageous for its clients.
