FAQs
3,700 Daily Deaths
Every single day, 3,700 people die on the world's roads. Vulnerable road users account for more than half of all fatalities.
Revolutionizing Road Safety Through Artificial Intelligence
Harnessing the power of AI, computer vision, and machine learning to predict, prevent, and eliminate road accidents. Join us in our mission to achieve zero road fatalities by 2030.
Core AI Technology
- Computer Vision System: Advanced image analysis for automated road inspection
- Detection Accuracy: 98.7% accuracy rate
- Processing Speed: Millisecond-level real-time analysis
- Multi-Source Data Collection: Compatible with dashcams, drones, and fixed surveillance cameras
Key Detection Capabilities
- Pothole Detection: Identifying road surface depressions and damage
- Crack Identification: Detecting surface cracks and fissures
- Surface Degradation Analysis: Assessing overall road condition
- Lane Marking Assessment: Monitoring road markings visibility and condition
- Traffic Violation Detection: Identifying rule violations
- Hazardous Condition Identification: Spotting dangerous road situations
Output Features
- GPS coordinate tagging for precise location
- Severity scoring for prioritization
- Photographic evidence capture
- Real-time alerts and notifications
- Data suitable for preventive maintenance planning
Current Development Stage
Based on the specific accuracy metrics mentioned (98.7% accuracy), the product appears to be fully developed and potentially in deployment or pilot phase. However, without case studies, client testimonials, or deployment information visible on the website, the exact commercialization status is unclear.
Industry Comparison
Similar AI pothole detection systems like San Jose's pilot project have achieved 97% accuracy for potholes and 88% accuracy for debris detection, suggesting AT Folks' claimed accuracy is competitive with deployed municipal systems.
1.35M
Annual Road Fatalities Globally
50M+
Serious Injuries Each Year
94%
Accidents Caused by Human Error
$8
ROI for Every $1 Invested
The Crisis
A Global Road Safety Emergency
Every year, 1.35 million people lose their lives in road traffic crashes globally, with over 50 million suffering serious injuries.
Our Technology
AI-Powered Road Safety Platform
Computer Vision
Advanced algorithms process millions of images to detect infrastructure defects and monitor traffic patterns automatically.
Predictive Analytics
ML models analyze data to predict accident-prone areas before crashes occur with unprecedented accuracy.
Real-Time Monitoring
Continuously monitor road conditions, detect drowsy drivers, and identify traffic conflicts before accidents.
Smart Traffic Management
AI-powered optimization that adapts to real-time traffic flow and prioritizes emergency vehicles automatically.
Key Capabilities
Comprehensive Safety Features
Process
How It Works
1
Data Collection
Aggregate data from CCTV cameras, traffic sensors, vehicle sensors, dashcams, smartphones, historical crash data, weather conditions, and street view images.
2
AI Processing & Analysis
Computer vision extracts features from images, machine learning identifies patterns, predictive analytics forecast risks, and deep learning classifies objects and behaviors.
3
Risk Assessment & Prediction
Generate comprehensive safety assessments with risk maps, star ratings, probability scores, priority rankings, and cost estimates for recommended improvements.
4
Real-Time Intervention
Alert drivers to hazards, trigger automatic safety responses, notify traffic management centers, adjust signal timing dynamically, and deploy emergency services.
5
Continuous Improvement
Machine learning ensures constant enhancement. Models learn from new data daily, accuracy improves with every interaction, and the system adapts to local conditions.
Impact
Benefits & Value Proposition
Transportation Authorities
Fleet Operators
Drivers & Road Users
For Transportation Authorities
- Reduce Road Fatalities by 50% - Align with UN Sustainable Development Goals and save lives
- Save Billions in Economic Costs - Prevent accident-related expenses and lost productivity
- Optimize Infrastructure Investment - Focus resources on highest-impact improvements
- Data-Driven Policy Making - Make decisions based on comprehensive analytics
- Enhanced Public Trust - Demonstrate commitment to citizen safety and innovation
Measurable Outcomes
450K
Lives saved annually when deployed globally
40-60%
Reduction in accident rates in pilot deployments
Integration & Compatibility
Works With Existing Infrastructure
- Compatible with standard CCTV and traffic cameras
- Integrates with existing traffic management systems
- Works alongside current safety devices and signage
- No need for complete infrastructure replacement
Device & Platform Support
- Cloud-based web dashboard for centralized management
- Mobile applications for field personnel (iOS & Android)
- API integration with third-party systems
- Real-time data feeds to traffic control centers
Industry Standards Compliance
- iRAP (International Road Assessment Programme) protocols
- ISO 39001 Road Traffic Safety Management
- GDPR and international data privacy regulations
- Common Global Specifications for road feature coding
01. How quickly can the system be deployed?
Pilot deployments typically take 1-3 months. Full city-wide implementations range from 3-6 months depending on scale. We provide a phased approach with immediate value delivery from day one.
02. What hardware is required?
We work with existing cameras and sensors in most cases. For optimal performance, we recommend HD cameras with 30fps capability. Our platform is designed to integrate seamlessly with your current infrastructure.
03. How do you handle privacy concerns?
We use privacy-preserving techniques including temporary capture, encrypted transmission, and no permanent storage of identifiable images. Our system is fully GDPR compliant and respects all data privacy regulations.
04. What's the accuracy rate of your AI predictions?
Our risk prediction models achieve 85-92% accuracy depending on data quality and conditions. Accuracy improves over time as the system learns from new data and local patterns.
05. Can the system integrate with our current traffic management software?
Yes, we offer APIs and standard protocols for integration with most traffic management systems. Our team works closely with your IT department to ensure seamless integration.
06. What happens if the system detects an immediate danger?
The system automatically triggers alerts to relevant authorities and can activate connected safety systems like variable message signs or traffic signals. Response time is typically under 2 seconds.
Ready to Transform Road Safety in Your City?
Join 500+ organizations worldwide using AI to save lives and reduce accidents. Get started today with a free consultation.
