LightMetrics is introducing ΦFP, a cloud-based artificial intelligence (AI) layer designed to reduce false safety alerts from in-cab cameras.

The company says the launch comes as fleets increasingly rely on video telematics systems but struggle with high volumes of inaccurate alerts, which can erode trust among both drivers and safety teams, adding that the system is designed to ensure that only genuine safety events make it through to the coaching queue for fleet managers to review.

“Every false positive has a cost, such as driver attention, eroded trust, and wasted time. Manual reviews are time-consuming, expensive, and inconsistent. ΦFP is built on the advances in generative AI and vision language models,” said Krishna Govindarao, co-founder and head of product and marketing at LightMetrics, in the news release.

Traditional dash cameras analyze short video clips directly on the device, but limited processing power can restrict the accuracy of those systems, LightMetrics said, adding that ΦFP addresses that limitation by adding a second layer of intelligence in the cloud where a more powerful AI model re-examines every event flagged by the camera before it reaches anyone’s queue. This cloud layer has access to ‘far greater’ processing power than any in-vehicle device, allowing it to run more sophisticated analysis and apply a higher standard of accuracy, the company claims.

According to the release, the improvement is especially notable in detecting driver fatigue and drowsiness, some of the most challenging behaviors to identify accurately.

While its existing edge AI system achieves about 94% precision, ΦFP increases that to 99.1% in early customer deployments by reducing false positives, LightMetrics said.