RoadKeeper for Smart Toll Road Maintenance
Through a strategic partnership between Sovware and Dareesoft, the RoadKeeper platform delivers advanced AI-based monitoring and inspection management for road damage such as potholes, helping toll road operators keep their networks safe and well maintained.
In partnership with Dareesoft Inc., an AI technology provider from South Korea.
Overview
Enabling Proactive Toll Road Maintenance Through Integrated AI Technology
Sovware and Dareesoft help toll road operators implement an AI-based inspection management system that transforms the conventional reactive inspection model into a proactive, accurate, and data-driven maintenance system.
Using Edge AI devices on the inspection fleet and dedicated server instance infrastructure, the RoadKeeper platform automates the entire workflow, from high-speed visual data capture and severity classification to repair tracking, so that toll road safety standards are consistently maintained.
Core Capabilities
Key Use Cases
01.
High-Speed Multi-Lane Data Collection & Detection
The system captures high-resolution road imagery across multiple lanes simultaneously at full traffic speed using Edge AI devices on inspection vehicles, automatically detecting potholes and road surface damage.
02.
AI Deep Analysis & Severity Classification
Dareesoft's advanced AI models perform deep processing in the cloud to validate findings, filter out duplicates, and classify the severity level of each defect, helping maintenance teams prioritize repairs.
03.
End-to-End Workflow Management & Real-Time Monitoring
A centralized web and mobile platform provides real-time monitoring, task assignment, repair tracking, and automated reporting, securely integrated through dedicated server instances to support toll road operations at scale.
Impact
Expected Outcomes
Improved Road Safety
Early and accurate detection of potholes and road damage mitigates safety risks for toll road users.
Faster Response
Automated workflows and real-time monitoring accelerate response times and the execution of repairs in the field.
Lower Maintenance Cost
Proactive maintenance planning minimizes severe road deterioration and optimizes resource utilization.
Data-Driven Decision Making
A centralized data platform gives management full visibility for better planning, supervision, and control of maintenance performance.
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