Zonar Coach DashCam

Zonar Coach DashCam is an AI-enabled dash cam and driver coaching solution that helps fleets put safety front and center. Zonar DashCam devices use artificial intelligence to detect and capture specific safety events occurring both inside and outside the cab. When an event is recognized, the relevant footage is automatically uploaded to the secure Coach dashboard, where authorized personnel can access it online, on demand. By capturing events as they unfold, Coach provides timely visual context to support incident response and documentation. The in‑cab, AI-powered safety technology is designed to help drivers self-correct in the moment. As events are detected, the system preserves the surrounding video so safety teams can see what the driver saw and what occurred around the vehicle. These insights support structured driver coaching, reinforce safe driving practices, and establish a consistent process for reviewing on‑road behavior and policy compliance. Fleets can use this evidence-based approach to address risky behaviors and help protect against false claims. The Coach dashboard serves as a centralized, secure location for reviewing captured clips tied to detected safety events. Authorized staff can sign in from anywhere to review footage, assess context, and determine appropriate follow-up. Because the video is uploaded automatically, teams can access it without manual retrieval from vehicles, improving timeliness and reducing administrative effort. The result is a clear, repeatable workflow for incident review and driver development. Zonar Coach DashCam fits within Zonar’s broader safety and compliance offerings, including fleet dash cams and driver coaching tools. It is applicable to a range of fleet operations, from commercial trucking to public sector and pupil transportation, where visibility into driving events and efficient review processes are critical. With AI detection, automated video upload, and secure, role-based access to footage, Coach helps organizations promote safer driving and make informed decisions based on what actually happened on the road and in the cab.