Country Garden Case Study

Construction safety enters the era of intelligent supervision

Construction remains a high-risk industry, with strict expectations for proactive risk prevention, continuous monitoring, and traceable accountability. Country Garden deployed AI video analytics at the edge to strengthen safety governance across distributed construction sites.

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Industry background and challenges

Regulatory expectations and real-world site constraints that drive AI safety adoption.

Core expectations of safety regulators

  • Zero tolerance for severe safety incidents.
  • End-to-end monitoring of high-risk activities such as work at height and lifting operations.
  • Real-time detection of unsafe behaviors with clear accountability.
  • Traceable data for audits, compliance reporting, and safety assessment.

Practical construction-site challenges

  • Large number of geographically distributed sites.
  • High manpower cost for patrol and manual review.
  • Risks are often discovered only after incidents occur.
  • Traditional CCTV records footage but cannot analyze it effectively.
  • Safety performance is difficult to quantify over time.

Key advantages of the AI safety solution

Designed for fast rollout, practical on-site response, and centralized governance.

Rapid Deployment

Reuses existing CCTV and supports edge-device rollout with low upfront investment.

Edge AI Analytics

Real-time detection runs locally; only event results are transmitted to reduce bandwidth and center load.

Scalable AI Scenarios

Covers dozens of safety scenarios and can be quickly customized by regulation and project needs.

Immediate Alerts

Violations trigger on-site audio warnings and real-time event push to supervisors and platforms.

Centralized Management

Enterprise-level platform provides status visibility, traceability, and compliance-ready records.

Construction AI safety coverage

Full-scenario safety monitoring across personnel, operations, hazards, and temporary protection.

PPE compliance

  • Safety helmet detection
  • Reflective vest / strip detection
  • Safety harness usage for work at height
  • Safety footwear compliance
  • Gloves, goggles, and face-shield usage

Site operations management

  • Illegal parking detection
  • Personnel fall detection
  • Debris and material stacking monitoring
  • Restricted storage-area intrusion detection
  • Construction progress visibility

Hazard source monitoring

  • Smoke and fire detection
  • Restricted / hazardous area intrusion
  • Personnel under suspended load detection
  • Hazardous material storage monitoring

Construction protection monitoring

  • Missing edge protection
  • Missing opening / hole protection
  • Missing temporary protection
  • Unsafe material stacking near edges

Success story highlights

Country Garden scaled intelligent construction safety supervision without replacing existing camera infrastructure.

Edge deployment at scale

AI models were deployed on-site at the edge for real-time analysis across multiple active construction projects.

Real-time warning and escalation

Detected violations trigger local audio alarms and synchronized alerts to both site managers and central management platforms.