How to Comply with IRC SP 55 Using AI-Based Road Inspections?

IRC SP 55 compliance is now a non-negotiable benchmark for road safety and maintenance in India. The revised IRC SP 55:2024 standards outline stringent technical specifications for road marking quality, retro-reflectivity, visibility, and durability. For EPC contractors, PMCs, consultants, and smart city officials, aligning with these standards is not just about avoiding penalties—it’s about saving lives and optimizing performance.

But traditional methods of compliance—manual inspection, ad-hoc sampling, and paperwork-heavy audits—are slow, expensive, and prone to human error. That’s where AI-based road inspection technologies come in.

In this blog, we will explore how RoadVision AI India enables fast, accurate, and automated compliance with IRC SP 55 using modern, scalable technology.

Understanding IRC SP 55:2024 and Its Compliance Needs

The Indian Roads Congress (IRC) in its SP 55:2024 revision has emphasized:

• Clear visibility of longitudinal and transverse road markings
• Retro-reflectivity thresholds for day and night conditions
• Use of thermoplastic paint or equivalent high-performance materials
• Regular road marking audits to ensure compliance over time
• Special emphasis on urban arterials, expressways, and NH corridors

In short, compliance means constant monitoring and evidence-based reporting. This creates a huge demand for digitization and automation.

‍

The Challenges of Manual Road Marking Inspection

Manual inspections under IRC SP 55 face multiple challenges:

• Time-consuming and labour-intensive
• Inconsistent or subjective measurements
• No central data logging or digital audit trail
• Difficulty in tracking changes over time

This not only reduces quality assurance but also delays corrective action on field issues.

‍

RoadVision AI: Automating IRC SP 55 Compliance

RoadVision AI is India’s leading AI road inspection platform that helps government bodies, consultants, and infra companies achieve instant compliance through automated data collection and analytics.

Using a simple dashboard-mounted camera, RoadVision captures high-definition road footage and processes it in real-time using computer vision. It detects and measures:

• Faded or missing road markings
• Retro-reflectivity scores of thermoplastic paint
• Marking width, length, and positioning errors
• Irregularities across multiple lanes or intersections

This makes it ideal for automated road marking inspection AI workflows aligned to IRC SP 55:2024.

‍

Key Benefits of AI-Based Compliance Monitoring

1. 100% Digital Audit Trail
   Geo-tagged, timestamped reports stored in the cloud with visual evidence
2. Accurate & Objective Reporting
   No human bias or subjectivity — fully machine analyzed
3. Pan-India Scalability
   Monitor 1000+ km stretches within days using existing vehicles
4. Seamless Integration with Pavement Surveys
   Combine with Pavement Condition Survey or Road Safety Audit modules for holistic health checks
5. Standardized Compliance Reports
   Auto-generated as per MORTH and IRC formats

‍

Why It Matters: From Road Safety to Project Efficiency?

Non-compliance with IRC SP 55 can lead to increased accident risks, project penalties, and poor user experience. Urban traffic corridors, toll roads, and NH projects are under greater scrutiny from MoRTH and state-level auditing bodies. In this context, RoadVision AI India ensures:

• Lower maintenance costs by catching defects early
• Increased public safety through consistent visibility
• Faster approvals and certifications
• Transparent documentation for third-party audits

‍

Smart Integration with Other Road Monitoring Modules

One of the biggest advantages of RoadVision AI is its modular architecture. You can combine your road marking inspections with:

• Road Inventory Inspection
• Traffic Survey
• Case Studies of IRC adoption across India

This allows NHAI, MoRTH, BRO, and PMCs to build a single dashboard view of all road parameters.

‍

Conclusion

Complying with IRC SP 55:2024 doesn’t need to be a time-consuming, paperwork-heavy process. RoadVision AI is revolutionizing road infrastructure development and maintenance by leveraging cutting-edge AI in road safety and computer vision technology. Through advanced digital twin technology, the platform performs comprehensive road safety audits, enabling early detection of potholes, cracks, and other surface issues, ensuring timely repairs and improved road conditions. It also enhances traffic surveys by providing data-driven insights to address challenges like traffic congestion and optimize road usage. With a focus on building smart roads, RoadVision AI ensures full compliance with IRC Codes, empowering engineers and stakeholders to reduce costs, minimize risks, and improve the overall road safety and transportation experience.

Book a demo with us today to see how AI can future-proof your road marking compliance workflows.

‍

FAQs

‍

Q1. What is IRC SP 55:2024 and why is it important?

‍
It is the latest guideline by Indian Roads Congress on standards for road markings in India, ensuring road safety and visibility.

‍

Q2. Can RoadVision AI measure retro-reflectivity digitally?

‍
Yes, it uses AI models trained to estimate reflectivity performance from video footage with high accuracy.

‍

Q3. How do I implement RoadVision AI on an ongoing project?

‍
You can integrate it via any vehicle using a simple camera system. Book a demo for implementation support.

‍

‍