ADAS for Fleet Management >>
The best eyes and brains on the road
Brodmann17 provides the world’s most efficient solution with state-of-the-art accuracy for dashcams using any low-power commodity processors.
The solution is based on patented deep learning neural networks, built from the ground up especially for the automotive, offering top accuracy.
Brodmann17’s AI software is continuously improved with new data and has been tested on more than a million + miles of globally, highly diversified annotated data.
Brodmann17 software runs on common SoCs such as Ambarella and Qualcomm, at a fraction of the power compared with standard AI.
Accelerating AI adoption for Fleet Management
Brodmann17 provides advanced AI (artificial intelligence) driver assistance software for video telematics service providers. The software is running in road-facing cameras with visibility and context that only video can provide, such as vehicles, pedestrians, cyclists, lanes, traffic signs and lights , distance and relative speed of the objects ahead.
With the information you can calculate time-to-collision to determine potential danger and warn the driver ahead of time. Fleet managers are now able to address drivers’ behavior, reduce insurance costs, and overall improve the fleet efficiency while reducing operation costs.
Enables driver scoring
Analysis of videos giving the capability to understand driver behavior better, allowing driver training, coaching, and performance improvement.
Optimizes video collection
Eliminates the need for large data uploads to the cloud and further non-automated analysis.
Collision avoidance systems are critical to truly understand road-events. Only a camera can classify if a sudden break was a dangerous lack of focus or a safe response. Real-time, automated understanding of the video improves drivers behavior and safety, as well as reduces insurance costs and improves fleet ROI.
Automates precisely analysed
Video records of near accidents events.
Highest performance based
low power processors
Enables retrofitting existing hardware platforms to the highest level of ADAS capabilities and reduce HW cost.
True edge solution
Using Collision avoidance system at the edge allows fleet managers to get real-time insights on the road without relying on cloud connectivity and data.
Contact us to
Evaluate required processor needs based on your camera/lens capabilities
Receive guidance on data collection and annotation
Define the specifications based on the needs and target product
Learn about sensor fusion options
Learn how to implement Brodmann17’s technology in your product within a few weeks
Evaluation and testing