



AI-Powered Detection System
Building Better Road Damage Detection with Cutting-Edge Technology
Transforming the future of infrastructure through intelligent asset management, AI-driven insights, and data-powered decision making.
COMPANY PROFILE
Watch how Mata Garuda turns everyday road footage into actionable infrastructure intelligence.

by Endurance Challenge Indonesia
From road damage detection to asset intelligence, Mata Garuda delivers accurate data that improves safety, efficiency, and maintenance planning.
Utilizing artificial intelligence to accurately and efficiently detect road damage
Mata Garuda covers extensive road areas throughout Indonesia, assisting the government and other stakeholders in identifying and addressing infrastructure issues
By detecting road damage early, Mata Garuda helps reduce long-term road repair costs and ensures safer infrastructure for the public
Our Capabilities
An end-to-end platform, from road damage detection to pavement asset intelligence.
Automatically detect and classify more than 27 types of road defects.
Inspect roads using videos captured from:
No specialized survey vehicle is required.
Every detected road defect is automatically linked with:
Providing complete traceability for maintenance planning.
Our AI evaluates:
Helping maintenance teams prioritize repairs based on actual conditions.
Access inspection results through an intuitive dashboard featuring:
Support pavement management with:
Experience our road damage detection system firsthand. Upload your videos and see the AI in action.
27 Defect Types
Our AI classifies distress on both flexible (asphalt) and rigid (concrete) pavements. Click any type to learn more.
Click a defect type for details
Detection Samples



























Actual Mata Garuda model output from road surveys across Indonesia. A single frame often contains several defect types at once.
Measurable Impact
Mata Garuda delivers outcomes you can measure against manual inspection.
We have trained our app using data from:
Trained with the state-of-the-art YOLOv11 object detection algorithm
Utilizing over 45,000 images from 200+ videos collected across various regions of Indonesia, including locally sourced imagery
Data Coverage
200+ videos and 45,000+ images collected across 19 regions of Indonesia, with validation datasets spanning multiple countries.
Up to 90% overall performance across all defect types — with around 90% average accuracy on the top-5 most common road defects in Indonesia.
Regions covered
Upcoming model improvements: EU, MENA, and South Asia datasets.
With AI-powered inspection, Mata Garuda enables organizations to:
Detect road damage earlier with AI analysis.
Significantly reduce inspection time and operational delays.
Improve maintenance planning and optimize repair budgets.
Extend pavement service life through preventative action.
Minimize accident risks and improve overall road safety.
Support infrastructure decisions with precise analytics.
Field Showcase
Road Survey with Bina Marga
Real road-survey footage processed by Mata Garuda. Slide through to see more.
Collaborating with more than 5 organizations
Trusted by leading institutions




Partner with us for large-scale infrastructure management solutions. Join leading organizations using Mata Garuda for data-driven infrastructure decisions.