See every defect before it costs you.
YNMDrishti turns standard dashcam video into GPS-tagged road intelligence — potholes, cracks, signs, markings and barriers, detected in real time 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Networks stretch for thousands of kilometres, but audits still rely on manual surveys — slow, subjective, and out of date the moment they're filed.
- 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.
Everything YNMDrishti sees on the road
One drive-through captures road damage and safety infrastructure — every detection classified, quantified, and GPS-tagged.
Road Damage Detection
Surface condition captured and classified from vehicle video, with severity and affected area quantified for every defect.
Safety Infrastructure Monitoring
Roadside safety assets inventoried kilometre by kilometre, so nothing goes missing between audits.
From dashcam to report in four steps
No specialist rig, no lane closures. Mount a camera, drive the route, and YNMDrishti does the rest.
Mount the camera
Fix any standard dashcam or phone to the windscreen — no specialist rig, no calibration.
Drive the route
Drive at normal traffic speed, on the roads and vehicles you already operate.
AI processes the video
A YOLOv8/v11 ensemble detects, classifies, and GPS-tags every defect and asset at 45–60 FPS.
Get GPS-tagged reports
Interactive maps, per-kilometre inventories, and regulator-ready exports — ready to act on.
YNMDrishti in the real world
YNMDrishti turns ordinary vehicle video into a continuous, evidence-based highway audit — measured on Indian-road footage, with reporting designed to map to IRC, MoRTH, and NHAI expectations.
- 85% pothole detection · 97% surface classification
- Safety infrastructure — barriers, signs, RPMs, rumble strips
- GPS-tagged, per-kilometre inventories — not just defect lists
- Version-controlled exports structured for regulator review
Figures from internal validation on Indian-road dashcam footage (YOLOv8/v11 ensemble, 34,540+ training images). Real-world performance varies with footage quality, road conditions, and audit scope.
Transforming road infrastructure with AI
Turning standard vehicle video into decisions that make roads safer, cheaper, and easier to maintain.
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, and reporting are designed to map to the codes India's road authorities audit against.
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, tailored to the people who keep roads running.
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?
The founders
YNMDrishti is built in Hyderabad by a founding team that pairs deep AI delivery experience with a decade in the road-safety industry — serving India, with delivery capability across the Gulf and ASEAN.
Bharani Kumar Depuru
18+ years leading analytics and AI delivery across HSBC, ITC Infotech, Infosys, and Deloitte. Brings the AI engineering depth behind Drishti's detection and audit pipeline.
Rishu Jain
Managing Director of YNM Pan Global Trade, a Hyderabad road-safety products company he has run since 2013. Brings a decade of on-the-ground safety industry experience and the distribution network behind Drishti's field operations.
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.