How RV-MAX 360 Technology Combines with Pallon’s AI for Flawless MACP Reports

In the world of underground network inspection, accuracy, speed, and data consistency are essential.

Municipalities, contractors, and infrastructure managers are constantly seeking tools that can reliably detect anomalies while reducing processing costs and delays.

That’s precisely where the synergy between RinnoVision’s RV-MAX 360 inspection camera and Pallon’s artificial intelligence platform comes in. Together, they redefine how manhole and pipeline inspections are performed, analyzed, and reported — producing MACP (Manhole Assessment and Certification Program) reports of unmatched quality.

This article explains how this unique combination transforms the collection and analysis of visual data into professional, standardized, and actionable reports that meet the industry’s highest standards.

The Challenge of Traditional Inspections

Until recently, manhole and pipeline inspections relied heavily on manual methods: operators filmed structures using handheld cameras, and technicians spent hours — sometimes days — analyzing, coding, and classifying observations.

This lengthy and costly process led to several issues:

  • Human errors in image interpretation
  • Inconsistencies between operators or projects
  • Long analysis times limiting the number of inspections
  • Delays in scheduling corrective interventions

Faced with these challenges, the combination of RV-MAX 360 and Pallon delivers a genuine technological breakthrough.

RV-MAX 360 Technology: Precision and Complete Visibility

RinnoVision’s RV-MAX 360 is a next-generation inspection camera designed to capture high-resolution 360° images of manholes and underground pipelines.

Key features:

  • Full panoramic capture with no blind spots
  • Automatic stabilization for sharp images, even in unstable environments
  • Optimized lighting for clear inspection in low-light conditions
  • Water- and impact-resistant construction for harsh environments
  • Direct integration with digital analysis and management workflows

Thanks to these capabilities, the RV-MAX 360 generates high-quality visual data ready to be interpreted by Pallon’s AI algorithms.

Pallon’s Artificial Intelligence: Turning Video into Actionable Data

The Pallon platform uses deep learning models and advanced 3D vision algorithms to automatically analyze inspection videos captured by the RV-MAX 360.

Automated workflow steps:

  1. Secure upload of inspection footage to the Pallon platform
  2. Frame-by-frame analysis using neural networks trained on thousands of real-world cases
  3. Automatic detection and classification of anomalies (cracks, infiltration, deformation, corrosion, etc.)
  4. Instant generation of standardized MACP reports

This automation enables complete professional reports to be produced in just minutes — a process that used to take several hours of manual coding.

Compliant and Consistent MACP Reports

The MACP (Manhole Assessment and Certification Program) is the international standard for structured manhole assessment, ensuring that every inspection is uniform, traceable, and certification-compliant.

Pallon’s AI analyzes RV-MAX 360 sequences based on MACP criteria:

  • Detection of structural defects (cracks, breaks, corrosion)
  • Evaluation of joints, steps, and coatings
  • Automatic assignment of codes and severity levels
  • Organization of findings into clear, illustrated, exportable reports

Result: Reliable, reproducible, and immediately actionable MACP reports for asset managers.

Technological Synergy: Hardware and AI in Perfect Harmony

What sets the RinnoVision–Pallon alliance apart is the complementarity between hardware precision and software intelligence.

Real-World Benefits for Professionals

🔹 Significant Time Savings
What once required days of manual analysis can now be processed in minutes thanks to full automation.

🔹 Reduced Operational Costs
Fewer labor hours, fewer revisions, and fewer errors translate into direct and measurable cost savings per project.

🔹 Reliability and Consistency
AI eliminates human variability. Every inspection is analyzed using the same standards, ensuring total report uniformity.

🔹 Improved Safety and Planning
Critical anomalies are detected earlier, enabling preventive maintenance and proactive infrastructure management.

🔹 Enhanced Sustainability
Faster and more accurate inspections reduce unnecessary interventions, lowering the carbon footprint of operations.

Augmented Intelligence Serving Asset Managers

Thanks to RinnoVision and Pallon’s combination, asset managers gain access to clear, structured, and actionable data.

Automatically generated MACP reports allow them to:

  • Prioritize interventions based on defect severity
  • Plan investments using objective data
  • Track network condition over time
  • Optimize budget and environmental management

This data-driven approach transforms maintenance from a reactive process into a predictive and sustainable strategy.

Digital Precision at the Core of Inspection’s Future

The future of inspection lies in the union of intelligent vision and automated analysis. Technologies like RinnoVision and Pallon embody the concept of augmented inspection:

  • 360° cameras collect comprehensive data
  • AI interprets it with consistent precision
  • Engineers focus on decision-making and strategic planning

This evolution paves the way for safer, more sustainable, and better-managed infrastructure — a shared goal for smart cities and modern industries.

Conclusion: A New Era for Underground Inspection

The combination of RV-MAX 360 and Pallon’s AI marks a decisive step in modernizing infrastructure inspection. It provides a complete, integrated, and reliable solution for producing professional, precise, and consistent MACP reports — all while optimizing costs and processing time.

At RinnoVision, we believe the future of inspection depends on the collaboration between technology and human expertise. Together with Pallon, we empower professionals with a clearer, faster, and smarter vision of their underground networks.