FleetUp’s annotation labeling was created to address a major drawback with the traditional dashcam — that it records far more footage than any fleet manager can comb through.

Sorting dashcam videos consumes countless hours of manpower that fleets don’t have, FleetUp officials said in a press release.

Annotation labeling slashes through all of the recordings that fleets don’t need to review and highlights fleets’ most important footage. It optimizes video analysis, helping fleets manage risk, coach drivers, and reduce everything from accidents to insurance costs to vehicle wear and tear, FleetUp officials said.

Annotation labeling sorts dashcam footage into four categories: High Risk, Medium Risk, Low Risk, and False Events. Users can also search videos by vehicle type, event type, risk type, and more.

Annotation labeling goes beyond the current industry standard, AI flagging. Annotation labeling separates high-risk from low-risk events. For example, it labels a driver going over a speed bump “low risk” and a driver jumping over a curb “high risk.” It provides access to the footage fleets need to review. Other flagging technologies can’t do this with the same degree of accuracy, company officials said.

“Without annotation labeling, it’s difficult if not impossible to identify the specific footage needed to pinpoint drivers’ worst mistakes," said FleetUp CEO Ezra Kwak, "With annotation labeling, fleets have their most important footage at their fingertips.”

Managers can use the annotated footage to see what mistakes their drivers are making – as well as why and when they’re making those mistakes. Then, they can use that footage to coach drivers, showing individual employees the bad choices they made and giving them the information they need to make better choices.

Annotation labeling includes a number of additional features. Users can send specific videos directly to their drivers, showing them the exact behavior they shouldn’t repeat. Customizable graphs show the types of risky driving events that are most often putting users’ fleets at risk.