When a driving event is detected, the driver and road-facing dashcam video footage taken at the time of the event is immediately reviewed by the cloud AI.
The cloud AI, also known as the video analytics engine, assesses the severity of the event and analyzes the video footage recorded at the time for specific behavior (such as the tailgating a vehicle ahead, failing to make a complete stop at a stop sign, failing to wear a seat belt, distraction while using a handheld phone or device, or speeding above the posted speed limit). Once this analysis has been completed, an event classification is generated and applied (Critical, Major, Moderate, or Minor).
Behavior that the cloud AI is capable of detecting, and the conditions that are required for detection to occur, are described below.
Learn more about how videos are classified.
A collision was avoided that could have resulted in:
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Damage to a vehicle and/or object
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Injury to a person and/or animal.
For example, the driver swerves to avoid a vehicle, person, animal and/or object, which is detected very close by.
Scenario
When an event is triggered, this is reviewed by the cloud AI. The cloud AI analyzes the event and detects other events, for example Near miss. Then a classification is applied.
Example
A driver brakes suddenly and almost collides with the vehicle in front.
In this scenario, a Hard braking event is reviewed by the cloud AI. The cloud AI detects a person, animal or object very close by, but no impact exerted on the vehicle. A Near miss behavior and a Major classification is applied.
Note
Near miss behaviors are precursors to collisions. Identify and discuss these events with the driver in a coaching session before they become serious incidents.
An impact occurred with a vehicle, person, animal and/or object. Alternatively, the driver lost control of the vehicle. For example, the vehicle spins, hits the curb and/or mounts the soft shoulder.
Scenario
When an event is triggered, this is reviewed by the cloud AI. The cloud AI analyzes the event and detects other events, for example Collision. Then a classification is applied.
Example 1
A Hard braking event is reviewed by the cloud AI. The cloud AI detects a significant impact exerted on the vehicle and a person, animal or object very close by. A Collision behavior and a Critical classification is applied.
Example 2
A Harsh cornering event is reviewed by the cloud AI. The cloud AI detects the vehicle swerving off the road onto the soft shoulder. A Collision behavior and a Critical classification is applied.
When the driver is closely following the vehicle in front.
The vehicle must be traveling over 37 mph.
When the vehicle travels faster than the road’s sign-posted speed limit.
When the driver handles their phone for at least 2 seconds. For example, they were scrolling, texting, or talking on the phone.
Phone distraction is not the same as phone call detection.
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