AI agent that monitors roadside vegetation—tracking health, growth, and safety
impact to keep corridors visible, compliant with standards, and well-maintained.
Trees and shrubs grow continuously, but inspections are periodic. Overhanging branches and encroachments often go unnoticed between surveys.
Vegetation obstructs signs, lighting, and sightlines—reducing visibility and increasing accident risk on roads and highways.
Poor vegetation health, dieback, and unstable growth patterns are discovered only after failure or complaints arrive.
RoadVision AI keeps vegetation risks visible—by default.
The agent monitors vegetation across all roadside environments and assesses both safety and compliance requirements.
Network-wide visibility into vegetation status, growth trends, safety risks, and maintenance priorities.
Your data is portable. Your system is future-proof.
Your data remains yours. Fully exportable, anytime. Suitable for maintenance planning, compliance documentation, and environmental reporting.
Dashcams, 360-degree cameras, drones, and satellite imagery—used independently or together. Choose the source that fits your workflow: routine patrol dashcam data for continuous monitoring, drones for detailed assessment of complex areas, or satellite for network-wide overview. No special equipment required.
By optimizing vegetation health and coverage, the agent supports Green Roads initiatives and UN Sustainable Development Goals (SDG 13 - Climate Action, SDG 15 - Life on Land). It enables data-driven urban forestry management, increases carbon sequestration through healthy plantations, improves air quality, and supports climate-resilient road infrastructure.
Both—balancing vegetation health with road safety needs and regulatory compliance. The agent optimizes for safe, visible roads while maintaining healthy, compliant plantations. It helps you achieve NHAI standards while keeping corridors safe.
Models are trained on thousands of kilometers of roadside vegetation data, validated against field observations. Accuracy exceeds 98% for major vegetation features (tree detection, overhang, obstruction). Confidence varies by data source—drone/mobile camera data provides highest detail; satellite provides broad network overview.
Yes. The agent monitors tree health indicators (canopy density, color, branch dieback) and tracks changes across survey cycles. This helps identify trees needing treatment, removal, or replacement before they fail or become hazards.
Vegetation assessments are exported with prioritized maintenance schedules. Maintenance teams get location-specific trimming, health treatment, or removal recommendations. Cost estimates can be generated for budgeting and contractor coordination.
Standard deployment is cloud-hosted on AWS with ISO 27001 and SOC 2 compliance for scalability and security. For specific data residency or security needs, the system can be deployed on-premise. All data is encrypted and government retains full ownership and export rights.
Integrating multi-modal data, predictive intelligence and enterprise
workflows to redefine infrastructure management worldwide.
Partner with us to build smarter, safer roads with autonomous AI technology
The Autonomous Road Engineer
AI that is transforming road infrastructure, from reactive to predictive.
RoadVision AI Private Limited,
Office No. 308 & 310, B Block, Ansal
Chamber - 1, Bhikaji Cama Place,
Near Engineers India Limited (EIL)
Bhawan, New Delhi - 110066
