01 Background
Placeholder text for the background. A mid-sized logistics fleet relied solely on GPS tracking to monitor driver behavior. Based on speeding and hard-braking data from the GPS, the safety record appeared impeccable.
02 The Challenge
Despite the "clean" GPS data, the fleet experienced a series of minor incidents and near-misses. Management suspected that driver distraction was the root cause, but had no empirical data to prove it or act upon it.
Cost of Inaction
Relying on incomplete safety metrics leads to a false sense of security. Without addressing in-cabin distraction, a severe accident was only a matter of time, carrying immense legal and human costs.
03 The Approach
Roadcast deployed dual-facing AI dashcams with Driver Monitoring Systems (DMS) across a sample size of 6 vehicles for a 9-day trial period, running concurrently with the existing GPS tracking.
[Placeholder: GPS vs AI Dashcam Alerts Chart]
04 The Solution
The DMS tracked instances of mobile phone usage, smoking, drowsiness, and distracted driving. The data was aggregated and analyzed on the Roadcast platform.
05 The Result
The cameras logged 7,109 alerts in just 9 days. Crucially, 94% of these were in-cabin behavioral alerts that standard GPS could never detect. Furthermore, the data showed that 86% of all risky behavior was exhibited by just two specific drivers.
The Takeaway
GPS tells you where a vehicle is, but video telematics tells you what the driver is doing. Targeted driver coaching based on video evidence is the only effective way to mitigate fleet risk.