Buses in New York are to be fitted with cameras from California-based Hayden AI to spot bus lane traffic violations.

Hayden AI specialises in smart traffic enforcement powered by artificial intelligence. It has signed a contract with the New York Metropolitan Transit Authority (MTA) for deployment of 300 interior mounted automated bus lane enforcement (Able) camera systems. The agreement comes with an option to install as many as 200 additional camera systems upon MTA’s request.

“We are very proud to partner with MTA on this exciting transit bus mobility initiative,” said Hayden AI CEO Chris Carson. “Ensuring that bus lanes are free from illegally parked vehicles means that thousands of riders will experience faster, smoother and safer transit trips. We appreciate the opportunity to deploy our technology as we help to enhance the ridership experience for all MTA transit bus passengers.”

Vaibhav Ghadiok, Hayden AI executive vice president of engineering and architect of the Able system, added: “We look forward to leveraging our AI-powered computer vision technology to enhance the ridership experience for all MTA transit customers.”

Able has proven to be an effective tool, helping increase compliance with dedicated bus lane stopping and parking restrictions. Installation of the first 300 interior mounted cameras has started and is expected to be completed by the end of December. 

“Our main focus is to partner with MTA and other transit agencies to increase safety and operational performance and improve customer experience,” said Syed Rahman, vice president for transit at Hayden AI. “We look forward to utilise our smart enforcement technology to reduce congestion, improve commuter safety, fleet reliability and on time performance 

Hayden AI says it is pioneering real world problem solving powered by AI and machine learning. From bus lane and bus stop enforcement to digital twin modelling and more, its clients use the firm’s mobile perception system to speed up transit and make streets safer. The privacy-first approach is said to ensure technologies comply with security and privacy regulations and protect personal information while fostering innovation.