Improve Public Road Safety with AI
Reduce road casualties using combined IoT and AI technologies. Helps local transit operators visualize their fleet's real-time driving quality, monitor sign of dangerous behavior, predict and warn driver about imminent accident before it happens.
Business Overview
Road traffic accidents are the leading cause of death in many developing countries.
Bad road conditions increase the accident rate behind the wheel.
Sensor AI partnered with local public transportation companies (bus operators) to implement edge AIoT solutions, successfully reducing road accidents.
We developed several computer vision models to observe the behavior of bus drivers in real-time, looking for signs of drowsiness, abnormal and dangerous driving behavior.
Through collecting real-time driving telemetry, our solutions helped operators quantify "driving quality" into measurable KPIs and use it to coach drivers towards safer driving habits.
Real-time by Design
Milli-second grade response by the design for just-in-time intervention before it becomes too late.
Distraction Monitoring
Watch for sign of distraction and drowsiness. Warn the driver to take prompt action.
Dangerous Driving Behavior
Catch abnormal and dangerous behaviors. Our machine learning algorithms predict the risk of an imminent accidnet and warn drivers to make prompt corrections.
Visualize Driving Quality
Data-driven coaching based on live vehicle telemetry data for safer driving habits.
Architectures
Built on Azure with IoT, stream data processing, container service and AI modules working as a whole.
