Mar 26, 2026
Pre-accident Analysis: Pedestrians on Freeway

From the start, the LENS Platform design has been guided by identifying the types of pre-accidents where Officers & Dispatchers can have the most immediate impact on reducing accidents and saving lives.
Here are two examples.
Disabled Vehicles & Pedestrians on the Freeway
One of about every 50 Disabled Vehicles, results in an accident. LENS Detect immediately identifies a Disabled Vehicle, which then creates an alert for a Dispatcher to validate the detection accuracy, and upon validation the Dispatcher sends an officer to the location of that vehicle to assist and prevent an accident.
Public Safety Agencies consider Pedestrians on the Freeway to almost certainly lead to a life lost because of the astoundingly low rate of survival.
LENS Detect identifies Pedestrians on the Freeway, enabling Officers to assist in a way never before possible and save lives. Similar to detecting a Disabled Vehicle, LENS Detect immediately identifies a Pedestrian on the Freeway. That detection creates an alert for a Dispatcher, who then can validate with a single click, resulting in an officer being dispatched to that location to assist the Pedestrian who was on the freeway.
Accuracy Required for Public Safety Operations
Critical to detecting Disabled Vehicles, Pedestrians on Freeway, and other pre-accidents — is meeting the accuracy threshold required for Public Safety Agency operations. LENS Specific AI achieves that level of accuracy, with detection performance that exceeds any previously reported benchmarks under comparable evaluation conditions.
As the LENS Platform builds out the capability to detect more pre-accidents, Officers will be able to further reduce accidents and save even more lives.

