AutoVision combines Telematics with Smartphone based Video Intelligence to identify true risky driving alerts and encourage safe driving.
Know True Risk of Rash Driving Alert with AutoVision
· AutoVision App analyzes front traffic video from smartphone camera to identify risk of rash driving.
· Uses advanced AI technology to determine if rash driving alerts (such as over-speeding or sudden braking) presented a real accident risk based on traffic context.
· App analyzes traffic video feed during a rash driving instance to identify near objects (such as car, truck or pedestrian) and assess relative risk of an accident.
· App classifies high severity incidents and captures them as video alerts for post review.
· App Provides actionable insights and evidence for fleet operators to ensure safety of drivers, passengers and assets.
Video Analytics Smartly Combines with Telematics
· AutoVision uses video feed from a docked smartphone camera in the vehicle, no additional dashcam needed.
· Uses smartphone sensor data to identify rash driving behaviors such as overspeeding, sudden braking, and hard acceleration.
· Video feed is only analyzed around the time of a rash driving alert and can also be manually initiated for evidence purposes.
· Utilizes at-the-edge AI and machine vision technology to analyze data on the smartphone, no internet connection or expensive server deployment needed.
· Affordable and scalable video telematics solution for fleets of all sizes.
Intuitive Video Alerts Review in App
· AutoVision's Video Alert List and Detail screens allow drivers to review each video alert.
· Analyzed alert video clip is annotated with identified objects of interest and relative distance to the vehicle.
· Can be viewed with location, speed, and risk assessment for complete context.
· Empowers drivers to self-review and improve driving behavior through transparent and intuitive information delivery.
· Video Alerts also saved to AutoVision cloud platform for review by Fleet Admin
Know True Risk of Rash Driving Alert with AutoVision
· AutoVision App analyzes front traffic video from smartphone camera to identify risk of rash driving.
· Uses advanced AI technology to determine if rash driving alerts (such as over-speeding or sudden braking) presented a real accident risk based on traffic context.
· App analyzes traffic video feed during a rash driving instance to identify near objects (such as car, truck or pedestrian) and assess relative risk of an accident.
· App classifies high severity incidents and captures them as video alerts for post review.
· App Provides actionable insights and evidence for fleet operators to ensure safety of drivers, passengers and assets.
Video Analytics Smartly Combines with Telematics
· AutoVision uses video feed from a docked smartphone camera in the vehicle, no additional dashcam needed.
· Uses smartphone sensor data to identify rash driving behaviors such as overspeeding, sudden braking, and hard acceleration.
· Video feed is only analyzed around the time of a rash driving alert and can also be manually initiated for evidence purposes.
· Utilizes at-the-edge AI and machine vision technology to analyze data on the smartphone, no internet connection or expensive server deployment needed.
· Affordable and scalable video telematics solution for fleets of all sizes.
Intuitive Video Alerts Review in App
· AutoVision's Video Alert List and Detail screens allow drivers to review each video alert.
· Analyzed alert video clip is annotated with identified objects of interest and relative distance to the vehicle.
· Can be viewed with location, speed, and risk assessment for complete context.
· Empowers drivers to self-review and improve driving behavior through transparent and intuitive information delivery.
· Video Alerts also saved to AutoVision cloud platform for review by Fleet Admin
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