Sensor Data × AI Analysis × GIS Visualization

         

— Augmenting areas where

“people cannot be physically

or constantly present”

with AI —

■ Concept

Leveraging image-analysis AI technologies cultivated in the medical and life science domains, we extend these capabilities into broader social infrastructure, industrial, and public sectors.


We provide a cloud-based platform that analyzes diverse visual data—camera feeds, videos, and still images—and seamlessly connects the entire workflow from AI analysis to mapping (GIS), visualization, and notification.


Rather than focusing on a single-purpose use case such as disaster prevention or surveillance,
the platform is designed for a broader mission: to digitally and intelligently support areas where humans cannot be stationed physically or continuously.

■ Challenges We Address

Across many fields, the following constraints on human resources are becoming increasingly apparent:

  • Staff cannot be physically present at all monitoring locations
  • Nighttime, holidays, and wide-area coverage create unavoidable “unattended” time slots
  • Judgments vary depending on individual experience and expertise (difficulty in standardization)
  • Significant manpower is required to gather, organize, and review visual data
  • It is impractical for humans to manually monitor footage from numerous cameras across multiple locations

To address these structural issues of labor shortage,
we provide AI-driven solutions focused on cost efficiency, accuracy, labor reduction, and operational standardization.

■ Value Proposition

1. Continuous AI-Based Visual Analysis

AI analyzes video streams, live feeds, and uploaded images 24/7, automatically extracting relevant objects, behaviors, or changes. The system supports a wide range of visual sources—not limited to “public cameras”—including:

  • Outdoor cameras
  • Facility and building security cameras
  • Industrial cameras
  • Research cameras
  • Live-streaming feeds

2. Mapping (GIS) & Visualization

Analysis results, combined with location data and metadata, can be visualized through maps, timelines, heatmaps, and more. Integration with existing GIS systems and our own mapping/social platform enables a comprehensive view of areas, facilities, and regions.

3. Alerts & Event Management

Based on detection results, real-time alerts can be sent via email, apps, web, or social platforms. Notification content can be customized depending on use case and operational needs.

4. Cloud-Based & Low Cost

No additional hardware is required. The platform can be activated simply by providing camera URLs or access information.

5. Expandability

  • Abnormal behavior detection
  • Animal detection
  • Object recognition
  • Environmental / structural change detection
  • Multi-camera integration
  • Predictive AI (future)

The platform is designed for cross-industry adoption and flexible model expansion.

■ System Architecture

● 1. Input

Visual data from multiple sites and formats (camera feeds / videos / still images / live streams)

● 2. AI Analysis Engine

  • Object detection
  • Behavior analysis
  • Anomaly detection
  • Wildlife detection
  • Environmental change detection
  • Custom models

● 3. Event Layer

  • Event generation
  • Threshold & condition settings
  • Real-time alerts (email / SNS / app)

● 4. Mapping (GIS) / Visualization

  • Map display
  • Timeline analysis
  • Route estimation (future)
  • Heatmap visualization
  • Automated reporting

■ Key Use Cases

● 1. Wildlife Monitoring

https://guardian.carb-connect.com/en/

● 2. Facility / Campus / Plant Area Monitoring

  • Restricted-area entry detection
  • Nighttime / holiday activity monitoring
  • Support for unmanned and semi-unmanned operations

● 3. Infrastructure, Roadway, and Inspection Support

  • Detection of road debris or obstructions
  • Change detection (fallen trees, landslides, structural changes)
  • Visualization of traffic volume and pedestrian flow

● 4. Environmental & Agricultural Monitoring

  • Detection of crop-damaging animals
  • Monitoring of crop conditions
  • Integration with forest and riverside cameras

● 5. Disaster Prevention & Resilience Enhancement

  • Early-stage detection of floods, inundation, or landslides
  • Continuous analysis of river cameras
  • Monitoring dynamic changes in hazardous zones

■ Features

● Medical-Grade Image Analysis AI

Real-time processing, low-latency analysis, and high-accuracy models—qualities proven in medical AI applications.

● Designed for the Era of Labor Shortage

Built on the principle of “augmenting human limitations with AI,” reducing dependence on individual expertise and enabling standardization and efficiency.

● Platform Architecture for Broad Applicability

Not limited to a single function or industry, the platform can be adopted across multiple sectors, municipalities, and operational environments.

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