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IBC Cube
Digitising infrastructure operations and maintenance, starting with roads.

What is IBC Cube?

IBC Cube leverages advanced technologies like the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) to digitize infrastructure operations and maintenance (O&M). Its primary focus is on improving the management and monitoring of road and highway projects remotely. The platform integrates various technologies designed and developed in India to streamline O&M processes for infrastructure assets.

The company offers comprehensive Roads O&M Solutions powered by its proprietary ibccube.ai and Fieldmobi technologies. These solutions have facilitated the identification and resolution of numerous road defects across India. Core services include Digital Twin Creation, AI/ML-based vehicle camera inspections for automated defect detection, and mobile-based applications for tracking the entire maintenance lifecycle from reporting to verification. Additionally, IBC Cube provides a specialized Document Management System (DMS) tailored for the unique requirements of Indian road projects.

Features

  • AI/ML Vehicle Camera-based Inspection: Conducts road inspections using vehicle cameras and AI/ML models to automatically detect defects.
  • Digital Twin Creation: Maps road elements, including GIS-based project, chainage, and asset information, onto a digital platform.
  • Mobile-based Maintenance Tracking: Allows reporting, assignment, rectification, and verification of defects via mobile applications (Fieldmobi).
  • Specialised Document Management System (DMS): Manages correspondences, contracts, and documents specific to Indian road projects.
  • IoT Integration: Supports integration with various IoT sensors and smart displays for enhanced monitoring.
  • Remote Surveillance: Offers centralized cloud surveillance capabilities.
  • Computer Vision Solutions: Applies computer vision technology for infrastructure monitoring tasks.

Use Cases

  • Managing and monitoring road and highway infrastructure projects remotely.
  • Automating road defect detection and inspection processes using AI.
  • Streamlining maintenance workflows for road networks from reporting to resolution.
  • Creating digital twins of road infrastructure for improved asset management.
  • Managing complex documentation for large-scale road and infrastructure projects.
  • Enhancing operational oversight through remote surveillance and IoT data.
  • Tracking field workforce activities related to maintenance and repairs.

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