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August 31, 2025

Rekor Taps NVIDIA Metropolis, NVIDIA AI, and Jetson for Roadway Safety, Traffic Relief Gaylord Contreras | usagoldmines.com

Austin is drawing folks to jobs, music venues, comedy golf equipment, barbecue and extra. However with this increase has come an enormous metropolis blues: site visitors jams.

Rekor, which provides site visitors administration and public security analytics, has a front-row seat to the growing site visitors from an inflow of latest residents migrating to Austin. Rekor works with the Texas Division of Transportation, which has a $7 billion venture addressing this, to assist mitigate the roadway issues.

“Texas has been attempting to fulfill that development and demand on the roadways by investing so much in infrastructure, and so they’re focusing so much on digital infrastructure,” mentioned Shervin Esfahani, vice chairman of world advertising and communications at Rekor. “It’s tremendous complicated, and so they realized their conventional techniques had been unable to essentially handle and perceive it in actual time.”

Rekor, primarily based in Columbia, Maryland, has been harnessing NVIDIA Metropolis for real-time video understanding and NVIDIA Jetson Xavier NX modules for edge AI in Texas, Florida, Philadelphia, Georgia, Nevada, Oklahoma and plenty of extra U.S. locations in addition to in Israel and different locations internationally.

Metropolis is an software framework for sensible infrastructure growth with imaginative and prescient AI. It offers developer instruments, together with the NVIDIA DeepStream SDK, NVIDIA TAO Toolkit, pretrained fashions on the NVIDIA NGC catalog and NVIDIA TensorRT. NVIDIA Jetson is a compact, highly effective and energy-efficient accelerated computing platform used for embedded and robotics purposes.

Rekor’s efforts in Texas and Philadelphia to assist higher handle roads with AI are the newest growth in an ongoing story for traffic safety and traffic management.

Lowering Rubbernecking, Pileups, Fatalities and Jams

Rekor provides two primary merchandise: Rekor Command and Rekor Discover. Command is an AI-driven platform for site visitors administration facilities, offering fast identification of site visitors occasions and zones of concern. It provides departments of transportation with real-time situational consciousness and alerts that enables them to maintain metropolis roadways safer and extra congestion-free.

Uncover faucets into Rekor’s edge system to completely automate the seize of complete site visitors and car information and offers sturdy site visitors analytics that flip roadway information into measurable, dependable site visitors information. With Rekor Uncover, departments of transportation can see a full image of how autos transfer on roadways and the impression they make, permitting them to higher arrange and execute their future city-building initiatives.

The corporate has deployed Command throughout Austin to assist detect points, analyze incidents and reply to roadway exercise with a real-time view.

“For each minute an incident occurs and stays on the highway, it creates 4 minutes of site visitors, which places a pressure on the highway, and the chance of a secondary incident like an accident from rubbernecking massively goes up,” mentioned Paul-Mathew Zamsky, vice chairman of strategic development and partnerships at Rekor. “Austin deployed Rekor Command and noticed a 159% enhance in incident detections, and so they had been capable of reply eight and a half minutes sooner to these incidents.”

Rekor Command takes in lots of feeds of information — like site visitors digicam footage, climate, related automobile data and development updates — and faucets into another information infrastructure, in addition to third-party information. It then makes use of AI to make connections and floor up anomalies, like a roadside incident. That data is offered in workflows to site visitors administration facilities for evaluate, affirmation and response.

“They have a look at it and reply to it, and they’re doing it sooner than ever earlier than,” mentioned Esfahani. “It helps save lives on the highway, and it additionally helps folks’s high quality of life, helps them get house sooner and keep out of site visitors, and it reduces the pressure on the system within the metropolis of Austin.”

Along with adopting NVIDIA’s full-stack accelerated computing for roadway intelligence, Rekor goes all in on NVIDIA AI and NVIDIA AI Blueprints, that are reference workflows for generative AI use circumstances, constructed with NVIDIA NIM microservices as a part of the NVIDIA AI Enterprise software program platform. NVIDIA NIM is a set of easy-to-use inference microservices for accelerating deployments of basis fashions on any cloud or information middle whereas preserving information safe.

Rekor has a number of giant language fashions and imaginative and prescient language fashions  working on NVIDIA Triton Inference Server in manufacturing,” in accordance with Shai Maron, senior vice chairman of world software program and information engineering at Rekor. 

“Internally, we’ll use it for information annotation, and it’ll assist us optimize completely different elements of our each day,” he mentioned. “LLMs externally will assist us calibrate our cameras in a way more environment friendly approach and configure them.”

Rekor is utilizing the NVIDIA AI Blueprint for video search and summarization to construct AI brokers for metropolis providers, notably in areas equivalent to site visitors administration, public security and optimization of metropolis infrastructure. NVIDIA not too long ago announced a new AI Blueprint for video search and summarization enabling a spread of interactive visible AI brokers that extracts complicated actions from huge volumes of stay or archived video.

Philadelphia Screens Roads, EV Charger Wants, Air pollution

Philadelphia Navy Yard is a tourism hub run by the Philadelphia Industrial Improvement Company (PIDC), which has some challenges in highway administration and gathering information on new developments for the favored space. The Navy Yard location, occupying 1,200 acres, has greater than 150 firms and 15,000 staff, however a $6 billion redevelopment plan there guarantees to usher in 12,000-plus new jobs and hundreds extra as residents to the realm.

PIDC sought higher visibility into the consequences of highway closures and development tasks on mobility and the way to enhance mobility throughout important tasks and occasions. PIDC additionally regarded to strengthen the Navy Yard’s capacity to know the quantity and site visitors circulate of automobile carriers or different giant autos and quantify the impression of speed-mitigating gadgets deployed throughout hazardous stretches of roadway.

Uncover offered PIDC insights into extra infrastructure tasks that should be deployed to handle any adjustments in site visitors.

Understanding the variety of electrical autos, and the place they’re getting into and leaving the Navy Yard, offers PIDC with clear insights on potential websites for electrical car (EV) cost station deployment sooner or later. By pulling insights from Rekor’s edge techniques, constructed with NVIDIA Jetson Xavier NX modules for highly effective edge processing and AI, Rekor Uncover lets Navy Yard perceive the variety of EVs and the place they’re getting into and leaving, permitting PIDC to higher plan potential websites for EV cost station deployment sooner or later.

Rekor Uncover enabled PIDC planners to create a hotspot map of EV site visitors by taking a look at information offered by the AI platform. The answer depends on real-time site visitors evaluation utilizing NVIDIA’s DeepStream information pipeline and Jetson. Moreover, it makes use of NVIDIA Triton Inference Server to reinforce LLM capabilities.

The PIDC needed to handle public issues of safety associated to dashing and collisions in addition to lower property injury. Utilizing velocity insights, it’s deploying site visitors calming measures the place common speeds are exceeding what’s perfect on sure segments of roadway.

NVIDIA Jetson Xavier NX to Monitor Air pollution in Actual Time

Historically, city planners can have a look at satellite tv for pc imagery to attempt to perceive air pollution places, however Rekor’s car recognition fashions, working on NVIDIA Jetson Xavier NX modules, had been capable of monitor it to the sources, taking it a step additional towards mitigation.

“It’s about air high quality,” mentioned Shobhit Jain, senior vice chairman of product administration at Rekor. “We’ve constructed fashions to be actually good at that. They’ll understand how a lot air pollution every car is placing out.”

Wanting forward, Rekor is analyzing how NVIDIA Omniverse is likely to be used for digital twins growth with the intention to simulate site visitors mitigation with completely different methods. Omniverse is a platform for creating OpenUSD purposes for industrial digitalization and generative bodily AI.

Growing digital twins with Omniverse for municipalities has monumental implications for lowering site visitors, air pollution and highway fatalities — all areas Rekor sees as vastly helpful to its prospects.

“Our information fashions are granular, and we’re positively exploring Omniverse,” mentioned Jain. “We’d prefer to see how we will assist these digital use circumstances.”

Be taught concerning the NVIDIA AI Blueprint for constructing AI brokers for video search and summarization.

 

This articles is written by : Nermeen Nabil Khear Abdelmalak

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