GLOCAL-EYEZ - Smartphone-based road monitoring technology

Xây dựng cơ sở hạ tầng xã hội thông qua sự hội tụ của AI, kỹ thuật xây dựng và hệ thống thông minh.

Nơi Công nghệ Gặp gỡ Xã hội

Thu hẹp khoảng cách giữa AI tiên tiến và cơ sở hạ tầng thực tế. Từ giám sát đường bộ đến trí tuệ nghiên cứu, chúng tôi mang công nghệ chuyển đổi đến những người cần nhất.

400+
Global Deployments
50+
AI/ML Models
10+
Countries
Our Technology

Smartphone-powered infrastructure monitoring

No expensive equipment. No specialized vehicles. Just mount a smartphone on any vehicle and our AI does the rest — detecting damage, analyzing conditions, and mapping infrastructure health in real time.

Any Smartphone

Works with standard smartphones. No dedicated measurement hardware required.

Real-Time AI

50+ machine learning models process video, vibration, and GPS data instantly.

Proven Accuracy

Matches dedicated measurement vehicles at a fraction of the cost.

Our Solutions

GLOCAL-EYEZ Platform

01

Road Management

Mount a smartphone on any vehicle windshield. As you drive, our AI automatically detects cracks, potholes, and pavement deterioration through the camera — then maps every defect with GPS coordinates for prioritized maintenance planning.

  • Deployed across 400+ municipalities globally
  • Camera + accelerometer data fusion
  • Cloud dashboard with GIS mapping
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GLOCAL-EYEZ Road - Smartphone-based road damage detection platform
GLOCAL-EYEZ Railway - Smartphone-based railway monitoring platform
02

Railway Management

The same proven smartphone approach applied to rail. Mount a device in any rail vehicle to automatically collect vibration and image data. Our AI pinpoints infrastructure anomalies and reports them to a cloud monitoring dashboard.

  • Vibration + image data fusion
  • Automatic damage location extraction
  • Near real-time cloud monitoring
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AI Research Tools

Tatsulok & RecursiQ

Beyond infrastructure, we develop AI-powered research tools that bring semantic search, citation verification, and knowledge management to researchers and organizations.