By 1808Delaware
On Brand Road near Coventry Woods Drive, a mid-block crosswalk is quietly doing something new for Ohio. When someone steps toward the curb at night, the crossing responds. Lights come on. Not all at once. They follow the person across the road, tracking movement in real time.
This installation is being described by the City of Dublin and Intelligent Security Systems as the first AI-powered crosswalk in the state.
What Makes This Different
Traditional crosswalk lighting is static. It shines whether someone is there or not. The SecurOS Soffit system works only when it needs to.
An overhead IP camera monitors the crossing. Video analytics detect a person approaching or entering the crosswalk. When that happens, LED modules activate directly above the pedestrian and along their path. As the person moves, the light moves with them, like a controlled spotlight designed to catch a driver’s eye without flooding the street.
When the crossing is empty, the system drops back to low-power standby lighting.
How the Technology Actually Works
The system combines three main elements: a camera with a motorized lens, a video analytics controller, and eight individually controlled LED modules. Neural-network-based detection software identifies people while filtering out vehicles, shadows, and debris. It is designed to keep working in rain, snow, or uneven lighting conditions. Once a pedestrian is detected, the controller activates only the LED sections needed at that moment, adjusting brightness and pattern based on ambient light and traffic conditions.
There are two operating modes. Standby mode outlines the crosswalk with minimal illumination after dark. Active mode increases brightness and can add a subtle pulsating effect when higher visibility is needed, such as when headlights or nearby streetlights compete for attention.
Why Brand Road Was Chosen
This wasn’t a random test site. Residents raised concerns about nighttime visibility and vehicle speeds at the Brand Road crossing. City staff reviewed traffic volumes, speed data, and pedestrian use and determined the location met criteria for additional safety measures.
Early feedback from both city staff and nearby residents suggests drivers are yielding more consistently and pedestrians feel more visible. That perception matters, because people avoid crossings they do not trust, even when they are technically safe.
What This Does Well and Where Caution Is Warranted
This system solves a real problem: drivers often miss pedestrians at mid-block crossings at night. By focusing light exactly where the pedestrian is, it increases contrast and recognition without turning the street into a permanent light source.
That said, this is not a silver bullet. It does not slow cars on its own. It does not replace traffic calming, enforcement, or signalized crossings where those are warranted. And like any camera-based system, it relies on proper calibration and maintenance to perform as promised over time. If Dublin expands this technology, pairing it thoughtfully with tools like RRFBs or HAWK signals will matter. Used in the wrong context, dynamic lighting could give a false sense of security. Used in the right places, it could meaningfully reduce nighttime risk.
Why This Matters Beyond One Crosswalk
Ohio communities are grappling with pedestrian safety, especially on collector roads that are too busy for simple markings but not suited for full signals. An AI-driven system like this offers a middle option: targeted visibility that reacts to real behavior instead of running on a timer.
Brand Road is now a live test case. If results hold up, Dublin may have provided a model other cities can adapt rather than copy blindly. This crosswalk does not just light the way. It suggests a future where street infrastructure responds to people, not the other way around.
Source, Photo: City of Dublin
