Descriptions of each event type available in VideMatics
Harsh Braking & Harsh Accelerating
This event is created when the camera's in-built accelerometer detects readings above the acceptable threshold. Harsh braking occurs when the vehicle is forced to stop or slow down abruptly. Harsh Accelerating happens when the vehicle pulls away too quickly or aggressively.
Harsh Left Turn / Harsh Right Turn
Recorded when a vehicle corners with more lateral force than is considered safe or comfortable. Repeated harsh cornering in either direction increases risk and accelerates vehicle wear. Monitoring this event helps identify where driving style adjustments could make a real difference.
Distraction
Distraction events are logged when the driver-facing camera detects that attention has moved away from the road — whether through prolonged glances, interaction with controls, or other inattentive behaviour. Even brief lapses in attention at speed can have serious consequences. Tracking this event helps identify when and where it occurs, making it easier to address effectively.
Fatigue
The driver-facing camera monitors facial cues — including eye closure, head drop, and blinking patterns — to detect signs of fatigue before they become dangerous. Driver tiredness is a significant and often underreported factor in serious road incidents. Detecting this early supports safer decision-making in the moment and helps inform broader conversations around schedules and driver welfare.
Following Distance Monitoring (Tailgating)
Following Distance Monitoring tracks the gap between the vehicle and the one ahead, flagging when that gap drops to a level that significantly reduces reaction time. Tailgating is a leading cause of rear-end collisions. Monitoring this event supports safer following distances and provides a clear record if an incident occurs.
Forward Collision Warning
Forward Collision Warning uses the front-facing camera to assess the road ahead in real time, logging an event when a collision becomes likely if no action is taken. It provides an additional layer of awareness for moments of distraction, misjudgement, or unexpected hazards. Recurring events on particular routes or in specific conditions can highlight risks worth addressing proactively.
Mobile Phone
Logged when the driver-facing camera detects a handheld mobile phone being used at the wheel. Handheld phone use while driving is illegal and one of the most significant causes of driver distraction. This event provides clear, timestamped evidence of when it occurred, removing ambiguity from what can otherwise be a difficult situation to address.
No Driver
Triggered when the driver-facing camera cannot detect anyone in the driver's seat while the vehicle is moving. This may result from an obstructed camera view or an unusual seating position, but can also indicate a genuine concern. Reviewing this event alongside vehicle and GPS data helps establish what occurred.
No Seat Belt
Logged when the camera detects that a seat belt is not being worn while the vehicle is in motion. Seat belt use is a legal requirement and one of the most fundamental safety measures available. Recording this event provides clear, objective evidence to support awareness and compliance.
Pedestrian Collision Warning
Pedestrian Collision Warning monitors for people in or near the vehicle's path, raising an alert when a collision risk is identified. Pedestrian incidents are among the most serious in road safety, and early detection provides critical extra seconds to react. Reviewing these events helps identify high-risk areas and times where greater care may be needed.
Shock
A shock event is triggered by a high-force impact — such as hitting a pothole, a kerb strike, or contact with another object. It acts as a catch-all for unexpected physical events that may not be captured elsewhere. Reviewing shock events alongside footage provides a clear account of what happened and whether any action is needed.
Was this article helpful?
That’s Great!
Thank you for your feedback
Sorry! We couldn't be helpful
Thank you for your feedback
Feedback sent
We appreciate your effort and will try to fix the article