Detects red light running and rolling stops — critical in dense urban zones sign
Provides real-time voice alerts when approaching speed limits, stop signs, or red lights.
Monitors distraction and fatigue — reinforces professional, alert driving in tight city spaces.
When there’s an incident, countless hours are spent handling paperwork and the hassle of claims. Video records make it clear as to whose insurance is responsible for payout.
Hard to monitor driving behavior in real-time, challenging to correct dangerous driving habits promptly, and difficult post-accident investigation. AI detected events are logged and analyzed to create a driver risk index score along with coaching actions to improve behaviors.
Increased insurance premiums, repairing fender benders, and tarnished brand reputation can be the result of poor driver behaviors. Real-time alerts help the driver avoid costly accidents before they occur.
The system monitors traffic signals in real-time and issues warnings when drivers are about to run red lights, effectively preventing serious traffic accidents.
The system automatically recognizes stop signs at unsigned intersections, reminding drivers to slow down and stop in time to prevent accidents.
The system continuously monitors vehicle speed and provides immediate alerts when exceeding speed limits, helping drivers maintain safe speeds.
The system calculates distance from vehicles ahead in real-time, providing early warnings of potential collisions to maintain safe following distances.
Using AI recognition technology to detect distracted driving behaviors, such as phone usage, providing immediate reminders to ensure driving safety.
The system continuously monitors driver fatigue status, detecting early signs of fatigue and prompting rest breaks to prevent accidents.
Integrates real-time vehicle location and status information, providing fleet managers with comprehensive visibility of their entire fleet. The system continuously monitors vehicle positions, operational status, and key performance metrics, enabling informed decision-making and efficient fleet management.
When thresholds set by AI or other sensors are triggered, the system sends notifications and records an “incident.” Each incident captures the vehicle’s time, location, speed, and images (if available), allowing fleet administrators to easily review and understand the circumstances of the event
Driving behavior anomalies detected by AI Copilot and DriverCare modules can be addressed using complementary tools such as hotspot analysis, statistical data and trend charts, course creation, and learning progress tracking. These tools work together to form a comprehensive response mechanism for such incidents, enhancing driver education and training programs.