AI Safety Network Diagram

AI-Powered Safety & Human Performance Monitoring

Next-Generation Safety Intelligence for High-Risk Environments

The Paradigm Shift from Reactive to Predictive Safety

In high-risk drilling and energy environments, human factors—including fatigue, distraction, and procedural deviation—are responsible for over 80% of operational incidents and near-misses. Traditional safety systems are inherently reactive.

We integrate proprietary advanced computer vision models, deep learning for cognitive fatigue detection, and sophisticated behavioral analytics to continuously assess crew situational awareness, physical state, and compliance.

The system immediately notifies rig supervisors and control centers with actionable alerts, ensuring risks are mitigated before they become costly, dangerous incidents.

Core Capabilities: Granular Intelligence for Unmatched Safety

1. Behavioral Safety & Compliance

  • Identifies immediate risks (hand-in-pocket, improper tool handling).
  • Tracks adherence to safety protocols (e.g., PPE, Lockout/Tagout).
  • Analyzes worker/equipment interaction in high-risk scenarios.

2. Proactive Cognitive Fatigue Detection

  • Monitors micro-movements, eye-gaze, and attention levels (Biometric Proxies).
  • Algorithms assess reduced focus and mental deceleration.
  • Forecasts fatigue trends to recommend mandatory rest periods.

3. Instantaneous Multi-Channel Risk Alerting

  • Tier 1: Automated PA voice announcements on the rig floor.
  • Tier 2: Real-time alerts on centralized control room dashboards.
  • Tier 3: Targeted push notifications to HSE Managers with recommended action.

4. Operational & Efficiency Optimization

  • Task Cycle Time Analysis: Automatically tracks the time taken for key activities (e.g., tripping pipe, well head/ BOP installation) to identify delays and procedural friction.
  • Workforce Utilization Mapping minimizes Non-Productive Time (NPT).
  • Generates auditable KPI reports on Leading Indicators.

How It Works: The Vision AI Pipeline

The 4-Step Safety Flow

1. Data Capture & Aggregation: Cameras capture high-definition, anonymized video and sensor data from critical work zones.

2. Edge & Cloud Processing: Deep learning models run on edge-computing hardware for low latency, analyzing data against thousands of safety criteria.

3. Real-Time Risk Scoring: Anomaly detection algorithms instantly generate a dynamic risk score for every worker and critical zone.

4. Automated Governance & Feedback: High-risk scores trigger the 3-Tier Alert System, and daily reports guide coaching opportunities.

Summary: This end-to-end process transforms raw visual data into actionable safety intelligence in under a second, ensuring proactive incident prevention rather than reactive reporting.

Diagram illustrating the Vision AI data pipeline, from data capture to alert and feedback.

Why It Matters: Quantifiable Value & ROI

Accident Reduction Goal

TRIR Reduction

Proactive intervention eliminates the leading cause of incidents: human error.

Uptime Metric

Minimize NPT

Real-time alerts prevent near-misses and equipment damage, decreasing Non-Productive Time (NPT).

Auditability

Video-Verified Audit Trail

Provides an objective, video-verified audit trail for every safety procedure and intervention.

This platform is not merely monitoring; it is intelligent, auditable, and preventative risk governance.

Ready to transform your installation’s safety?

Contact us to schedule a demo and gain intelligent prevention for your critical operations.

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