AI powered solution to make world better for safe ride
Utilizing advanced computer vision technology and a rigorous methodology, RoadAthena ensures accurate pavement condition assessments, providing expedited access to up-to-date road asset information. Enjoy increased frequency and significant cost savings compared to conventional manual surveys, enhancing your infrastructure management with unmatched efficiency.
Revolutionize road maintenance with our cutting-edge software, designed to analyze road defects and swiftly create comprehensive asset inventories. Experience a fourfold acceleration in assessment speed while reducing costs by half, empowering your organization with unparalleled efficiency and precision in infrastructure management.
Co-Founder
Co-Founder
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Growth officer
Seasoned Engineer, based in Nagpur, having 44 years of experience in Business Development, Contracting and Execution of Road infrastructure projects for large MNC companies.
Expert Highway Design Engineer, based in Mumbai, India's first "International Professional Engineer" (IntPE) Designed 4 of India's Best 10 Highways. Has extensive Experience of working in UK, Middle East, Africa and South East Asia.
Road Athena is economical viable for all the Stake holders and provide faster,continuous and accurate complete road assets monitoring & reporting solution.
Our system scans roads and find anomalies from videos using AI.
After scanning and analysing the videos it displays results to dashboard
Assign work to maintain road to authorised person and keep track of work with ticket.
System generate reports of all analysis done.
We are using AI for video processing for anomalies detection on roads. Our system is able to detect and classify different types of road anomalies.
Our main focus is to make this system more and more efficient so that we can make roads anomaly free for everyone.
First step is to collect data of road for survey.
Process the recorded video with AI model to find anomalies.
Classify the anomaly if it is pothole, patch or crack.
Identify the condition of pothole and mark as red, yellow or green.
After processing and analysing the videos displays results to dashboard
Raise a ticket for range of potholes to assign to some authority.
Assign the ticket to some authorised person to fix anomalies.
Team go to the location and fix the anomalies.
