Skip to main content

Hayden AI now has eyes on California city's bike lanes

Buses in Sacramento already use firm's cameras to enforce bus stop parking
By Adam Hill April 24, 2025 Read time: 2 mins
Friday 13: unlucky for some (© ITS International | Adam Hill)

Automated bike lane enforcement has come to the Californian city of Sacramento.

One hundred Sacramento Regional Transit (SacRT) buses are already equipped with Hayden AI's cameras to identify and report vehicles illegally parked along bus stops - and now this technology will be used to target drivers who should not be in bike lanes too.

It works in exactly the same way: when a violation occurs, the system captures a short video and photo of the vehicle’s licence plate, along with the time and location.

At present, drivers just receive warning notices in the mail - but fines will begin from Friday 13 June.

The city says it is the first in the US to enforce bike lanes in this way. As with bus stop enforcement, Duncan Solutions is providing the violation processing software. 

Assembly Bill 361 (AB 361) authorises California cities to use forward-facing cameras for enforcing parking violations in bike lanes and transit zones.

“We’re proud to be the first city in the country to use this technology to help keep our bike lanes clear,” said Staci Hovermale, parking services manager for the City of Sacramento. “This tool helps us enforce existing parking rules more effectively, improving safety for cyclists and ensuring everyone shares the road responsibly.”

“Keeping bike lanes clear is an important part of making Sacramento a place where everyone can thrive,” says SacRT general manager/CEO Henry Li. “This programme will help improve safety and travel times for everyone on Sacramento roads, no matter how you travel around.”

All evidence is reviewed and "ultimately approved or rejected" by parking enforcement officers with the City of Sacramento.

Lisa Schule, executive chairwoman of Hayden AI. “Using AI technology to protect bike lanes is a transformative shift for urban mobility and safety.”

For more information on companies in this article

Related Content

  • Authorities select enforce now, pay later option
    October 19, 2015
    Outsouring of enforcement services is on the increase internationally as highway and traffic authorities seek further support in resources and expertise from the private sector. Jon Masters reports. Signs of a significant company making moves into a new market can usually be read as indication of likely growth in that particular sector. Q-Free’s expansion from tolling operations into general traffic enforcement could be viewed as surprising as it is moving into what are relatively mature and consolidating m
  • Parifex speed cameras: picture perfect
    September 30, 2020
    From speed cameras to smart cities, image processing and AI – Parifex is not short of ambition. Nathalie Deguen tells Adam Hill where the French company is heading next
  • The benefits of combining enforcement and traffic management
    February 27, 2013
    Jason Barnes considers how combining enforcement equipment with other traffic management technologies might benefit our future – if only the will were really in place to do so. During the ITS World Congress in Vienna in October last year, Navtech Radar and Vysion­ics ITS announced a strategic partnership that would combine the expertise of Navtech in millimetre-wave wide-area surveillance technology with Vysionics’ machine vision-based automatic number plate recognition (ANPR) and average speed measurement
  • Machine vision’s image of road management’s future
    June 11, 2015
    Q-Free’s Marco Sinnema looks at how the commoditisation of high-quality vision-based solutions is widening their application. Machine vision technology’s entry into the ITS/traffic management sector has followed a classic top-down path. This is unsurprising given the extremely demanding performance criteria which are the standard in its market of origin, manufacturing processing. Very high image qualities combined with frame rates often in the hundreds per second range resulted in vision systems with capabi