AWS-Powered RoadVision Revolutionizes Road Safety in Raipur with AI-Driven Audit Solution, Reducing Assessment Time by 50%

Client: Raipur Municipal Corporation (RMC)

Industry: Urban Infrastructure & Road Safety

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Challenge

Raipur Municipal Corporation (RMC) aimed to conduct a comprehensive Road Safety Audit and Road Pavement Distress Audit across 100 km of road infrastructure. The primary objectives were:

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• Identifying safety hazards and high-risk zones.
• Assessing pavement distress levels to prioritize maintenance.
• Implementing data-driven decision-making for road infrastructure improvements.
• Traditional methods of auditing roads were time-consuming, labor-intensive, and prone to errors. RMC needed a more efficient, accurate, and scalable solution.

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Solution

To address these challenges, RoadVision leveraged AWS cloud computing and AI-powered analytics to implement an advanced road assessment system. The key components of the solution included:

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• AWS Cloud Infrastructure: Utilized Amazon S3 for secure data storage and AWS Lambda for real-time data processing.
• AI & Machine Learning: Deployed AI-powered image recognition models on AWS SageMaker to detect road distress such as potholes, cracks, and uneven surfaces.
• IoT & Sensor Integration: Used GPS-enabled vehicles equipped with high-resolution cameras and LiDAR sensors to collect road condition data.
• Data Analytics & Reporting: Employed AWS QuickSight for data visualization and dashboards to provide actionable insights.
• Automated Compliance Checks: Ensured alignment with IRC (Indian Roads Congress) standards using automated compliance verification.

Impact

The implementation of AWS-powered RoadVision resulted in significant improvements:

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• Enhanced Road Safety: Identified and mitigated high-risk zones, reducing accident-prone areas.
• Optimized Maintenance Planning: Provided RMC with a prioritized list of roads requiring urgent repairs, leading to cost-effective maintenance.
• Faster & Accurate Assessments: Reduced audit time by 50% while increasing accuracy by 30%.
• Community Benefits: Improved road conditions and smoother travel experience for residents and commuters.

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The strategic partnership between RailTel and Indika AI demonstrates how AWS-powered AI solutions can transform public sector operations. By combining domain expertise with cutting-edge AI technologies, the collaboration delivered significant improvements in efficiency, cost management, and service quality. The success provides a blueprint for digital transformation in the public sector, highlighting the importance of scalable infrastructure, domain-specific AI customization, and strategic change management.

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Key Performance Indicators (KPIs)

• Road Audit Coverage: 100 km of roads assessed.
• Hazard Identification Rate: 95% accuracy in detecting high-risk zones.
• Repair Prioritization Efficiency: 80% of critical repairs addressed within 30 days.
• Audit Time Reduction: 50% decrease in assessment duration.
• Accuracy Improvement: 30% increase in defect detection accuracy.
• Cost Optimization: 20% savings in road maintenance expenses.

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Conclusion

Conclusion:By leveraging AWS cloud solutions, RoadVision successfully transformed the road auditing process for Raipur Municipal Corporation. This project not only enhanced road safety but also set a benchmark for data-driven urban infrastructure management. The success of this initiative demonstrates the potential for AI and cloud-based solutions in revolutionizing road safety assessments nationwide.