Universal Suppression Framework
False positive suppression is engrained in everything we do.
From our previous experience, we knew that false positive detections are always one of the biggest program challenges.
Sfara’s goal has always been to develop technologies for enterprise that can be entrusted with safety-of-life. So, our technologies and methodologies demanded superior approaches.
Suppressing false positives isn’t something to which you can apply a fix, it has to be part of your DNA. Sfara developed from the ground up a holistic approach to solve for the suppression of false positives.
We call this our Universal Suppression Framework.
Is the smartphone up to the task?
Is the technology aware of device condition, sensor performance and other data inconsistencies?
Are trips validated and their corresponding sensor data cleansed?
Regardless of vehicle, phone type, road condition, and driving style.
Are you able to differentiate environmental noise from true impacts, even at ultra-low speeds?
False positives occur when data resolution is low, not high.
“Insert title” ensures that the most obvious determination might not be true if you haven’t minimized the noise and variables that get this far.
Only once all other techniques have been applied, can you use on-device AI to suppress false positives.
