RideView by LightMetrics helps mining operators prevent fatigue-related rollovers, enforce haul-road and blast-zone safety, and investigate incidents faster — with edge AI and rugged hardware built for extreme heat and off-grid routes, from Indian opencast pits to Gulf surface mines, not borrowed from highway trucking.
Video telematics built for the world's toughest mining fleets

8000+
fleets globally across mining operations from Indian opencast pits to Gulf surface mines.
Why fatigue is the hazard mining can't ignore
In high-consequence surface mining, operator fatigue isn't a soft wellness issue — it's a leading cause of catastrophic loss, and these numbers are global, not regional.
Most fatigue never gets reported until it shows up as a near-miss or worse — which is exactly the blind spot RideView's real-time edge AI is built to close.
Risk Factor
Accident correlation
The reporting gap
Hazard exposure
Finding
65% of mining haul truck accidents are directly attributable to operator fatigue
40% of operators feel fatigued every shift, yet only 8% proactively admit it — a dangerous blind spot for site managemen
~50% of all fatal mining accidents globally involve powered haulage, with haul truck collisions the highest-risk category
Stop incidents before they happen on the haul road
Long shifts, night work, and monotonous haul roads make fatigue one of the biggest human risks in mining. RideView’s edge AI watches for drowsiness, distraction, and phone use and gives the operator an instant in-cab voice alert, along with speeding, tailgating, and forward collision warnings on the road. Risky moments get corrected while there is still time to act.

GPIO Hardware: Turning detection into action
The live page's Real-Time Prevention tab stops at an in-cab voice alert. RideView's mining hardware goes one step further: in a cab where engine rumble drowns out audible chimes, multi-channel GPIO interfaces link AI detection directly to machine hardware — seat shakers and external strobes to physically wake a fatigued operator, and starter-relay immobilization to block unauthorized startup

Exonerate operators and investigate events faster
When something happens on site, a clear record is the fastest way to understand it. HD event clips, on-demand DVR retrieval, and timestamped footage give safety teams the context to investigate incidents, support compliance reporting, and protect operators who were not at fault.
Seatbelt detection and operator identification confirm the right person is behind the wheel before a shift starts — adding a layer of accountability across shared vehicles and rotating crews, without slowing operations down.

Standardize safety across every crew and contractor
Mining operations run on mixed fleets and multiple contractors, which makes consistency hard. A cloud AI layer re-validates every event and sorts by severity, so only genuine risk reaches the queue. Coaching workflows and operator scoring apply the same safety standard across light vehicles, haul trucks, and third-party operators, and recognize safe operators rather than only flagging risky ones.

Reliable across remote sites and tough conditions
RideView processes video on the device and uploads only relevant event clips, so it keeps working where connectivity is limited and keeps bandwidth low. It is hardware-agnostic, so you can pair it with cameras rated for dust, vibration, and temperature extremes, and it connects through REST APIs into the fleet and site systems you already run.


Built to Meet Mining Compliance Standards Worldwide
The current Privacy-First section covers data handling, but nothing on the page shows the regulatory depth RideView actually supports. This isn't limited to one country — India's DGMS and AIS standards are the clearest example of how deep that mapping goes:
Standard
AIS-184 (India)
AIS-188 (India)
AIS-162 (India)
DGMS CMR 2017 & Circular 8 (India)
What it requires
Driver drowsiness & attention warning
Lane departure warning
Automatic emergency braking
Audit-ready digital video & operational logs
How RideView covers it
Edge AI DMS covers the mandated drowsiness and attention warning
Road-facing AI provides real-time lane departure warning
ADAS forward-collision detection feeds emergency braking response
In-cab fatigue warnings, verified operator ID, and digital video logs ready for inspection
RideView is also built on a GDPR-aligned, DPDP-ready architecture, with ISO certifications in place — covering both EU and Indian data protection regimes today, with the same on-device, event-only-upload design adaptable to whatever data residency rules your market adds next. Every clip and log your compliance team pulls is as defensible with regulators as it is reassuring to your drivers, wherever you operate.

Risky driving
Up to 85% drop in distraction, tailgating, and over-speeding across haulage routes

Crash reduction
Site pickups and support vehicles moving through active zones.

Verified fatigue events
26.1% reduction in 60 days for a UAE surface mining fleet — 444 to 328 events/month, 116 severe micro-sleep incidents prevented, ~4 fewer high-risk events every day
Asset protection
Preventing those incidents directly guards 2M–5M+ haul trucks against rollovers, wall collisions, and costly pit downtime

Data cost
Up to 50% lower SIM/data expense from on-device AI compression.

Lower TCO follows naturally: protected high-value earthmoving machinery, fewer site stoppages, and a smaller cellular data bill across every off-grid route.
Privacy-First by design
On-Device Processing
Event-only uploads
In-Country Data Storage
ISO 9001 Certified
ISO 27001 Certified
ISO 22301 Certified
GDPR Compliant

Built for your operation
Open-pit & surface

Haul trucks and light vehicles on long, monotonous haul roads.
Light & service vehicles

Site pickups and support vehicles moving through active zones.
Contractor fleets

One consistent safety standard across third-party operators.
Multi-site operations

A single safety approach across distributed and remote mining sites.
It pairs AI cameras with telematics data to give real-time visibility into operator behavior and safety risks, and adds video context to the events that matter most on a mine site.
It detects fatigue, distraction, and risky driving in real time, alerts the operator in the cab so they can correct course, and provides video evidence that safety teams use for investigation and coaching.
Location and utilization data tell you that something happened, not why. Video adds the visual context safety teams need to understand events, coach operators, and support compliance reporting.
Yes. By catching fatigue and risky behavior early and enabling proactive coaching, it helps reduce incidents and near-misses across high-hazard environments.
Yes. RideView is built integration-first, with REST APIs, iFrame embedding, and SSO, so it fits into the fleet and site management systems you already use.
Yes. RideView is hardware-agnostic and can be paired with cameras rated for dust, vibration, and temperature extremes, and because the AI runs at the edge it keeps working where connectivity is limited.

Ready to bring this to your site?
Build with us
RideView by LightMetrics turns AI video telematics into fewer incidents, faster investigations, and consistent safety across every mining site.
Run a fleet?
Up to 85% reduction in risky driving. Up to 38% fewer crashes. See how RideView is built for the realities of Indian mining — DGMS compliance, off-grid operation, and GPIO hardware controls.
