Laser Focus World is an industry bedrock—first published in 1965 and still going strong. We publish original articles about cutting-edge advances in lasers, optics, photonics, sensors, and quantum technologies, as well as test and measurement, and the shift currently underway to usher in the photonic integrated circuits, optical interconnects, and copackaged electronics and photonics to deliver the speed and efficiency essential for data centers of the future.

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Editorial Advisory Board

  • Professor Andrea M. Armani, University of Southern California
  • Ruti Ben-Shlomi, Ph.D., LightSolver
  • James Butler, Ph.D., Hamamatsu
  • Natalie Fardian-Melamed, Ph.D., Columbia University
  • Justin Sigley, Ph.D., AmeriCOM
  • Professor Birgit Stiller, Max Planck Institute for the Science of Light, and Leibniz University of Hannover
  • Professor Stephen Sweeney, University of Glasgow
  • Mohan Wang, Ph.D., University of Oxford
  • Professor Xuchen Wang, Harbin Engineering University
  • Professor Stefan Witte, Delft University of Technology

Hayden AI Granted Patent for its Blockchain-Powered Data Management System for Traffic Enforcement Applications

Distributed ledger ensures that data is secure and accurate

Hayden AI, a global leader in artificial intelligence and machine learning, has been awarded a patent for its traffic enforcement data management system using blockchain. The patent was awarded on August 15, 2023 and is labeled US Patent number 11,727,795 B1.

Traditionally, traffic enforcement events that are documented by automated enforcement are sent to a network for review by relevant parties, such as traffic enforcement officers, but do not track the authenticity or integrity of such digital evidence packages throughout their lifecycle across internal and external devices and reviewers.

Hayden AI’s blockchain-powered data management technology uses a distributed ledger to track each transaction of the data with a unique and unrepeatable identifier generated by a cryptographic operation. This system creates a verifiable chain of custody for each traffic enforcement evidence package, keeping a record every time the data is processed, modified, or reviewed. It can further secure the data by partitioning it into individual components and tracking them through multiple blockchains.

“Keeping governments safe from cyberattacks is critical to the success of camera-assisted traffic enforcement programs. Our improved, verifiable chain of custody technology makes this possible,” said Bryan Shea, Vice President of Data Security and Privacy at Hayden AI and former Criminal Intelligence leader at the Chicago Police Department. “We’re so proud to receive this patent because it cements our status as a data management and security leader in vision-based automated traffic enforcement.”

Hayden AI is the US market leader in mobile automated bus lane enforcement and bus stop enforcement, with over 650 camera systems installed on transit buses across the country. These camera systems detect and document large numbers of traffic obstructions impeding transit service, which required Hayden AI to design this innovative system for securing data, sending it to appropriate government agencies, and verifying its accuracy.

About Hayden AI

At Hayden AI, we’re pioneering real world problem solving powered by AI and machine learning. From bus lane and bus stop enforcement to digital twin modeling and more, our clients use our mobile perception system to speed up transit, make streets safer, and create a more sustainable future. Our privacy first approach ensures that our technologies comply with security and privacy regulations and protect personal information while fostering innovation. For more information about Hayden AI visit www.hayden.ai.

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