This company provides AI-powered solutions for inspecting road marking visibility and enhancing road safety. Utilizing computer vision and geolocation data, they deliver detailed visibility reports and a comprehensive GIS map for authorities. This enables data-driven, condition-based maintenance strategies that reduce costs and improve road marking availability.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional road marking inspections are often conducted annually, failing to capture critical visibility degradation that occurs throughout the year due to varying weather and lighting conditions. This reactive approach increases the risk of road hazards and compromises navigation for all road users.
Solution
Inspectigence offers the INSPECTIMARK platform, an AI-powered solution for continuous road marking visibility assessment. Leveraging computer vision and geolocation data captured via a mobile application, the platform identifies risky locations and provides data-driven insights for proactive maintenance strategies. This ensures consistent road marking clarity, enhancing road safety and improving navigation, particularly for vulnerable road users like the elderly. The system enables road authorities to transition to a condition-based maintenance model, optimizing resource allocation and improving overall road network safety.
Target Audience
The primary customers are road authorities and traffic management agencies responsible for maintaining road infrastructure and ensuring public safety.
Features
- AI-driven analysis of road marking visibility using computer vision algorithms.
- Integration of geolocation data to map and identify specific high-risk areas.
- Mobile application for data capture, supporting diverse weather and lighting conditions.
- GIS mapping capabilities to visualize road marking condition and risk factors.
- Predictive analytics for condition-based maintenance planning.
- Reporting tools that quantify marking visibility and safety compliance.
- Support for data-driven decision-making to optimize maintenance schedules and resource allocation.