One safety view across cameras, vehicles & drivers
From blind spots to total visibility. 93% reduction in texting violations

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Results
93%
reduction in texting violations
(3,283 → 218 events)
96%
reduction in seatbelt violations
(3,283 → 218 events)
78%
drop in cell phone use
(1,024 → 224 events)
16%
reduction in driver fatigue events
63
specialized assets fully deployed
Context
Mining & Aggregates
UAE
63 specialized assets
24/7, multiple shifts
AI & 24/7 site safety
A premier UAE mining operator running 63 specialized heavy-fleet assets across a grueling 24/7 quarry operation. With operations spanning multiple shifts and remote terrain, the fleet faced safety risks that traditional GPS-based telematics systems were structurally unable to detect.
Challenge: The invisible risk in the quarry
GPS Dead Zones
Standard telematics systems depend on GPS and G-force triggers — both of which proved ineffective inside the quarry. The fleet was effectively unmonitored where it mattered most.
Detection Difficulty
Traditional systems could not distinguish a distracted driver from a safe one. Over 3,200 texting violations went unseen in a single month — invisible to existing tools and unknown to the safety team.
Seatbelt Compliance
Heavy mining trucks use non-standard seatbelts that standard sensors couldn't read. Compliance tracking was impossible before deployment, leaving a critical safety gap unaddressed.
Risk Burden
With operations running 24 hours a day across 63 specialized assets, fatigue, distraction, and non-compliance compounded continuously. Managers were reacting to incidents rather than preventing them.
Solution
The operator needed a system that didn't rely on GPS or vehicle sensors — a vision-based solution that could see what was actually happening inside the cab, regardless of quarry conditions.
The objective was clear: move from reactive incident reporting to real-time intervention. A system capable of identifying risk the moment it emerged, alerting operators instantly, and giving the control room the visibility to act before incidents occurred.
LightMetrics deployed edge AI cameras tuned specifically to the high-risk behaviors most prevalent in mining environments. The system operated independently of GPS — overcoming the quarry's physical limitations and providing continuous, vision-based monitoring across all 63 assets.
The solution integrated directly with the client's 24-hour control room, turning a passive monitoring stack into an active intervention platform. Measurable behavioral change was delivered within the first month of deployment.
01
Vision-based fatigue detection identifying drowsiness signs during night shifts, independent of GPS or vehicle sensors
02
Distraction and phone-use detection covering texting and phone-to-ear events in real time
03
Seatbelt compliance via computer vision — accurately detecting non-standard mining seatbelts standard sensors couldn't read
04
Instant in-cab alerts prompting operators to self-correct before a critical failure occurs
05
24/7 control room integration delivering a live safety events feed for immediate human intervention
Strategy and approach
Real-world environment tuning
LightMetrics configured detection models specifically for quarry conditions — accounting for variable lighting, confined cab environments, and non-standard vehicle equipment across all 63 assets.
Layered intervention design
Rather than passive recording, the system was architected for active response — in-cab alerts for operators, live feeds for control room staff, and trend dashboards for fleet managers, all working in concert.
Rapid behavioral impact
Deploying via RideView's open platform, the system achieved measurable fleet-wide behavioral change within the first month, with sustained improvement across the three-month observation period.
Results: Verified impact. Measured over three months
| Category | Before | After | Reduction |
|---|---|---|---|
| Texting & distraction | 3,283 events | 218 events | 93% ↓ |
| Seatbelt compliance | 2,785 violations | 107 violations | 96% ↓ |
| Cell phone use | 1,024 events | 224 events | 78% ↓ |
| Driver fatigue | Baseline across 24/7 shifts |
Measured reduction |
16% ↓ |
| Fleet coverage | 0 assets monitored | 63 assets monitored | Full deployment ↑ |
This project proved that vision-based edge AI can operate effectively where GPS cannot — delivering measurable safety outcomes in the harshest operational environments.
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