LightMetrics announced FP, a cloud-based artificial intelligence (AI) layer designed to filter driver safety alerts before they reach fleet managers, prioritizing higher-risk events for review.

Fleets across the industry have invested heavily in driver monitoring cameras, but the volume of inaccurate alerts these systems generate can erode trust on both sides. Drivers may feel unfairly flagged for events that were not genuinely risky, and fleet managers often spend significant time reviewing alerts that turn out to be false alarms. Over time, engagement with these systems may decline. FP is designed to address this issue by providing fleet managers and safety teams with a tool that improves the relevance of alerts and supports more efficient review and coaching processes.

How FP Works

Traditional dash cameras process video footage directly on the device, analyzing short clips to detect risky driving behavior. Edge devices, however, operate under real constraints. Limited on-board computing power and device costs mean that the largest, most accurate neural networks cannot always run on in-vehicle hardware. This is a fundamental trade-off in the industry, not a design flaw, but a reality of deploying safety technology at scale. FP is built to resolve that trade-off, 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 greater processing power than any in-vehicle device, enabling it to run more sophisticated analyses.

Drowsiness and fatigue detection is among the most challenging behaviors to identify accurately, given the wide range of ways it can manifest. LightMetrics’ edge AI already achieves 94% precision on these events, which means that for every 1,000 genuine drowsy driving incidents, roughly 60 alerts are false positives. In early customer deployments, FP reduces that number to just 9, lifting precision from 94% to 99.1%. For a fleet manager, that is the difference between a coaching queue they can trust and one they have learned to ignore.

The result is a curated coaching queue that contains only the events that genuinely warrant attention.

“Every false positive has a cost, such as driver attention, eroded trust, and wasted time. Manual reviews are time-consuming, expensive, and inconsistent. FP is built on advances in generative AI and vision-language models,” said Krishna Govindarao, co-founder and head of product and marketing. “We are giving fleet operators something they have never had before: complete confidence that when an alert surfaces, it is real, it is serious, and it demands action.”

What This Means for Fleets

For fleet managers and safety teams managing large numbers of drivers, the ability to focus on genuine risks rather than sifting through hundreds of questionable alerts is a meaningful shift in how driver safety technology can be used. LightMetrics sees FP as part of a broader vision to make AI-powered fleet safety not just more accurate, but also more actionable, helping fleets build stronger coaching programs, improve driver relationships, and make better use of the technology they have already invested in.
With deployments spanning North America, Europe, Latin America, the Middle East, Asia, and Australia, LightMetrics is positioned to bring FP to fleets and telematics providers worldwide.