(video) Brodmann17’s ADAS AI Technology & Features

This video showcases our camera-first ADAS AI technology built to automotive standards, which works in even the poorest of weather conditions. Our state-of-the-art ADAS solutions, built on patented deep learning technology, include:

✅ Headway Monitoring Warning (HMW): detects and alerts when tailgating. Provides multi-level alerts based on time to collision
✅ Stop Sign Detection: detects stop signs, enables approach speed warning & rolling stop detection.
✅ Traffic Light Detection: detects traffic lights and provides the status (red, yellow, green). Enables approach speed warning
✅ Pedestrian Detection: enables pedestrian collision warning
✅ Lane Detection & Warning (LDW): detects straight and curved lines. Provides lane departure warning
✅ Forward Collision Warning (FCW): detects and tracks vehicles. Warns of imminent collision in ego lane
✅ Blind Spot Detection (BDS): detects upcoming vehicles in adjacent lanes. Alerts when a vehicle enters the pre-defined blind spot zone. Used for both driver and passenger sides of vehicle
✅ Vulnerable Road User (VRU) Alert: detects pedestrian, cyclists and scooters. Alerts when a detected object enters a predefined zone behind the vehicle. Used for reverse AEB or MOIS applications.

Brodmann17 develops camera-first ADAS that is revolutionizing safety in mobility. The company’s computer-vision-centered technology substantially saves on compute power, which provides a huge saving in cost. This has brought AI for the very first time to new verticals including mass-market passenger vehicles, video telematics and micro mobility.

Brodmann17’s Vision-AI is based on deep learning neural networks that extract all possible information from a video to make the entire ADAS software smarter. Brodmann17’s patented perception software is hardware agnostic and highly scalable. It is easy to integrate and deploy as it can work on any processor from low-power edge to the cloud.

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