Objective.
The objective of the Proactive Maintenance system is to revolutionize road infrastructure maintenance through AI-powered pothole detection. By leveraging mobile devices and dash cameras, we aim to create a comprehensive, real-time mapping system of road defects that enables authorities to address issues before they become hazardous, ultimately improving road safety and reducing maintenance costs.
Our Process.
Our system employs lightweight AI technology that can be easily deployed on mobile devices and dash cameras, making it accessible to both authorities and community members. The solution processes video feeds in real-time, automatically detecting and geotagging road defects while ensuring seamless integration with existing maintenance workflows.
Current Scenario.
Currently, road maintenance relies heavily on manual inspections and citizen reports, leading to delayed response times and inefficient resource allocation. Road surveyors must physically inspect large areas of road network, making it difficult to maintain up-to-date information about road conditions. Many potholes go unreported until they become severe, resulting in vehicle damage and potential safety hazards. The lack of systematic detection and reporting mechanisms means that maintenance crews often operate reactively rather than proactively.
02
Proposed Transformation
Proposed Transformation.
The implementation of Proactive Maintenance will transform the current road maintenance process by introducing an AI-powered system capable of automatically identifying, mapping, and prioritizing road defects.
1
Automated Detection
Deploy lightweight AI technology on mobile devices and cameras to automatically detect and classify potholes while driving, ensuring continuous monitoring of road conditions.
2
Real-time Mapping
Instantly map detected potholes onto a centralized system, creating a live, interactive visualization of road defects across the city.
3
Priority Assessment
Analyze the severity and location of detected potholes to automatically prioritize repairs based on risk level and traffic impact.
4
Resource Optimization
Generate optimized maintenance schedules and routes, ensuring efficient deployment of repair crews and resources.
5
Progress Tracking
Monitor repair status in real-time, providing authorities with up-to-date information on maintenance activities and completion rates.
6
Community Engagement
Enable citizens to contribute to road maintenance efforts by automatically collecting data during their regular commutes, creating a collaborative approach to infrastructure maintenance.