AI Road Safety Audits from Dashcam Video
One platform for detection, location and evidence. Three AI modules turn images, video, or a live camera feed into GPS-tagged intelligence on pavement damage, road infrastructure, and signage — across your whole network.
- Same-day results, typical
- No specialist hardware
- Mapped to IRC · MoRTH · NHAI
Manual road inspection can't keep up
Networks stretch for thousands of kilometres, but audits still rely on manual surveys: weeks of lane-by-lane inspection, graded by eye, and out of date the moment they are filed. The cost is not just the survey — it is that inspection becomes rare, so defects are found once they are expensive rather than while they are cheap.
- Delayed maintenance — defects surface long after they turn dangerous and expensive.
- Congestion & risk — unaddressed potholes and faded markings raise crash exposure.
- Inefficient reporting — inconsistent, paper-based records regulators can't easily audit.
Raw footage in. Decision-ready evidence out.
The same drive that produces unusable raw video today comes back annotated, located and structured for action: each defect boxed and labelled in the frame, graded for severity, pinned to a coordinate, and written into a table your teams can filter, map and export.
Raw footage today
- Slow manual inspection
- Inconsistent records
- Scattered evidence
- Delayed maintenance decisions
- Raw footage — no insight
AI-annotated with YNMDrishti
- AI-powered detection
- GPS-based mapping
- Annotated visual evidence
- Structured detection results
- Decision-ready reports
Three AI modules. Everything on the road.
One drive-through captures all three at once: pavement damage with severity and measurements, roadside infrastructure from lane lines to crash barriers, and every signboard as its own typed asset record. Each detection is classified, quantified and GPS-tagged to the frame it came from.
Pavement Intelligence
Road-surface defects detected and converted into measurable maintenance evidence — severity and dimensions quantified for every find.
- Potholes
- Cracks
- Kerb condition
- Severity & measurements
- Repair recommendations
From dashcam to report in four steps
No survey van, no traffic control, no lane closure. Mount a standard dashcam, drive the route at normal speed, and the AI detects, classifies and GPS-tags every defect it passes — returning maps, per-kilometre inventories and a regulator-ready report, typically the same day.
- Step 01
Mount the camera
Fix any standard dashcam or phone to the windscreen — no specialist rig, no calibration.
- Step 02
Drive the route
Drive at normal traffic speed, on the roads and vehicles you already operate.
- Step 03
AI processes the video
A YOLOv8/v11 ensemble detects, classifies, and GPS-tags every defect and asset at 45–60 FPS.
- Step 04
Get GPS-tagged reports
Interactive maps, per-kilometre inventories, and regulator-ready exports — ready to act on.
YNMDrishti in the real world
Watch dashcam footage from a live corridor being analysed frame by frame: defects boxed and labelled as the vehicle passes them, severity assigned on the spot, and each finding pinned to the point on the road where it was seen — at ordinary traffic speed.
YNMDrishti turns ordinary vehicle video into a continuous, evidence-based highway audit — validated on Indian roads and aligned to IRC, MoRTH, and NHAI standards.
- 85% pothole detection · 97% surface classification
- Safety infrastructure — barriers, signs, RPMs, rumble strips
- GPS-tagged, per-kilometre inventories — not just defect lists
- Regulator-ready, version-controlled compliance exports
Transforming road infrastructure with AI
Turning standard vehicle video into decisions pays off in five places: fewer hazards left unattended, crews dispatched to located defects instead of reported ones, repairs caught while they are still patching jobs, an evidence trail for compliance, and the network-wide numbers a budget case needs.
Safety Improvements
Proactive hazard detection surfaces defects before they become dangerous — reducing crash exposure.
Operational Efficiency
Automated surveys replace slow, subjective manual inspections — covering far more road in far less time.
Cost Savings
Targeted repairs from precise defect quantification mean budgets go to the sections that need work.
ESG Compliance
Eco-friendly material recommendations and auditable reporting support sustainability and regulatory goals.
Data-Driven Insights
Trend analysis and predictive maintenance turn every survey into a plan for what to fix next, and when.
Built to align with India's road standards
Detections, severity grades and reporting are designed to map to the codes India's road authorities audit against — Indian Roads Congress guidance, MoRTH reporting expectations, and NHAI per-kilometre inventory workflows — so a deliverable enters a submission without being translated first.
IRC alignment
Condition and severity mapped to Indian Roads Congress guidance for road audits.
MoRTH alignment
Reporting structured for Ministry of Road Transport & Highways expectations.
NHAI alignment
Per-kilometre inventories suited to National Highways Authority audit workflows.
Data handling
Survey data stays under your control — processed on your terms, delivered to you, never shared.
Versatile solutions for diverse stakeholders
One road-safety platform, read differently by each of the people who keep roads running: highway authorities defending budgets, municipal teams answering complaints, contractors proving handover quality, and fleet operators watching the routes their drivers take every day.
Proactive Maintenance
Catch and prioritise defects before they escalate into costly failures.
Safety Compliance
Evidence-based, auditable records aligned to road-safety regulations.
Cost Efficiency
Quantified severity data directs repair budgets to where they matter.
Urban Management
Municipal networks monitored continuously, not just on complaint.
Safety Audits
Repeatable audits of markings, barriers, signs, and surface condition.
Budget Planning
Trend data supports defensible, data-driven capital plans.
Quality Assurance
Pre/post-repair comparison verifies completed works meet standard.
Route Optimization
GPS-tagged condition maps help planners choose safer routes.
What is YNMDrishti?
What can YNMDrishti detect?
How accurate is it?
How fast does it process video?
Who is YNMDrishti for?
Ready to transform road infrastructure?
Built for the authorities and operators who keep roads safe. Tell us about your network and we'll show you YNMDrishti on your roads.
- 85%pothole detection
- 34,540+training images
- IRC · MoRTH · NHAIaligned reporting
- Same daytypical turnaround
No specialist hardware, no lane closures — and a complete sample audit you can open right now without talking to anyone.