VisionGuard AI
Giải pháp AI camera giám sát an toàn lao động HSE thời gian thực
VisionGuard AI tự động phát hiện vi phạm bảo hộ lao động (PPE), phát hiện xâm nhập vùng nguy hiểm và cảnh báo sự cố tức thời qua hệ thống bản đồ nhiệt.
Reduction in HSE safety incidents
Why traditional security cameras fall short on construction safety?
Insufficient safety personnel to monitor hundreds of live streams simultaneously, leading to missed infractions.
Absence of real-time proximity alerts for danger zones, acting only after accidents occur.
Manual compliance reporting workflows that consume dozens of administrative hours weekly.
Reactive safety protocols rely on post-incident video retrieval instead of dynamic, preventative warnings.
Millions lost annually due to project shutdowns, compensation claims, and heavy regulatory fines.
5 Steps of AI-Driven Automation
Video Feed Ingestion
Direct connection with existing site IP cameras using RTSP protocol.
AI Model Inference
Real-time recognition of PPE (helmets, vests) and hazardous perimeters.
Instant Event Push
Sends push notifications and snapshot evidence directly to HSE monitors.
Human Validation
Site coordinators verify and sign off on active warnings.
Safety Optimization
Automatic generation of daily safety scores and compliance audit trails.
Deep Technical & Operational Value
Worker Density Tracking
Multi-object localization algorithms optimized for heavy occlusions
Monitors density and path routing across high-risk zones
Saves 35% in active site labor distribution costs
PPE Compliance Monitoring
Dense classification layers checking helmets and reflective vests
Flags active PPE violations under a 500ms latency window
Maintains 98% overall site safety compliance index
Danger Zone Geofencing
Polygon perimeter geofencing mapped onto dynamic 3D camera projections
Warns of intrusion near heavy machinery or floor edges
Zero intrusion accidents recorded post-activation
Target Industries & Execution
Over 500 workers active concurrently across multi-level high-rises.
Deployed VisionGuard to monitor main entries, structural edges, and hoist zones.
94% drop in active safety violations within the first month.
High heat and dust particles obscure standard optical sensors.
Integrated specialized thermographic cameras running custom inference loops.
Near-instant detection of worker falls or thermal safety violations.
4-Layer Unified AI Architecture
Pipes execution scripts and raw data blocks securely for dedicated model tracking.
Pipes execution scripts and raw data blocks securely for dedicated model tracking.
Pipes execution scripts and raw data blocks securely for dedicated model tracking.
Pipes execution scripts and raw data blocks securely for dedicated model tracking.
Scaling Safety Compliance at Vinhomes Grand Park
Challenge: Managing safety regulations manually across a sprawling construction project of hundreds of hectares.
Implementation: Connected VisionGuard AI directly to existing IP cameras, automating PPE and exclusion zone checks.
Outcome: Achieved 98% HSE compliance rating across all contractors and zero critical safety incidents.
Verified through internal operational review metrics post-deployment.
Air-Gapped Privacy & Security Standards
End-to-End Stream Encryption
AES-256 secure wrapping for all video transfers from edge gateways to analytics server.
Granular RBAC Policies
Restricts camera access and alerts based on designated site ownership boundaries.
HITL Action Logging
Verifies model warnings via safety manager validation logs for continuous learning.
Detailed Technical Inquiries
Does the system require replacing existing cameras?
What is the end-to-end alert latency?
How does it perform under low-light conditions?
Is our camera feed data sent outside our network?
What is the accuracy rate of PPE detection?
Is there a limit on connected cameras?
Can the system detect site vehicle license plates?
How are algorithm updates handled?
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