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 Behind-the-Windshield AI Camera System

Camera technology is capable of detecting objects behind windshields at night and in all weather conditions

Hayden AI, a global leader in artificial intelligence and machine learning technologies, has been awarded a patent for its camera-based perception system that detects objects from behind vehicle windshields. The patent was awarded on June 27, 2023 and is labeled U.S. Patent number 11,689,787.

Most mobile camera systems for roadway object detection must be mounted outside of vehicles – on the vehicle’s roof or off its side – and cannot see through windshields or work in low light conditions. Hayden AI’s mobile perception system is designed to be mounted inside the vehicle – behind windshields – while maintaining highly-accurate object detection. This makes the Hayden AI camera system operational in all weather and light conditions.

“Our cameras’ ability to function at night is a major advancement in the field of mobile cameras,” said Bo Shen, co-founder and Chief Science Officer at Hayden AI. “By designing a skirt around both our automated license plate recognition camera (ALPR) and our AI-powered context camera, our interior-mounted camera system can accurately detect objects without windshield glare from the interior ambient light in the bus. This significantly improves the usefulness of our system for automated bus lane and bus stop 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. Detecting objects in low light and all weather conditions ensures that all parking violations impacting reliable service and safety for transit riders are processed, helping transit agencies keep bus lanes and bus stops clear. Additionally, mounting the camera system behind the bus windshield protects the equipment from the elements, increasing its lifespan and reducing maintenance costs.

About Hayden AI: Hayden AI is 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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