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Industrial AI & Safety Vision ● Safety AI Timeline: 2024

Hazard Detection

AI-Based Workplace Hazard Detection & Safety Compliance Platform

Client
Industrial Manufacturing & Dairy Processing Facilities
Category
Industrial AI & Safety Vision
Our Scope
Full-Stack & AI
Status
Live in Production
Hazard Detection
Hazard Detection — Developed by Ivon Tech Hub Pvt Ltd
24/7
Continuous CCTV Surveillance
< 1 sec
Hazard Detection Latency
92%
Reduction in Safety Violations
Zero
Hardware Overhaul (Uses Existing CCTV)
Project Overview

About the Solution

Hazard Detection is an AI-based industrial safety monitoring solution that uses CCTV cameras and computer vision to identify critical workplace safety hazards in real time.

The platform continuously monitors workers, hot-work activities, conveyor operations, and material-handling practices to detect unsafe conditions and generate actionable alerts for safety teams.

The Challenge

Industrial processing plants, boiler rooms, and dairy conveyor lines carry high occupational risks (conveyor nip-point entanglement, missing PPE, improper hot-work permits, and unauthorized entry into hazardous zones).

Manual monitoring through safety rounds or CCTV guards is physically incapable of covering 24/7 operations, resulting in unnoticed violations until accidents happen.

Our Technical Solution

Ivon Tech Hub developed a real-time edge computer vision platform that connects directly to existing factory CCTV video feeds.

Utilizes specialized deep learning models trained to detect worker PPE (helmets, vests, safety boots, gloves), conveyor entanglement risks, worker proximity to moving machinery, and improper material handling.

Delivers sub-second alarm triggers with video proof clips sent directly to plant safety officers via dashboard popups, SMS, and WhatsApp alerts.

Core Advantages

Key Benefits

  • AI-powered workplace hazard detection
  • Real-time safety compliance monitoring
  • Automated PPE compliance verification
  • Continuous CCTV-based safety surveillance
  • Faster identification of unsafe practices
  • Violation alerts and evidence capture
  • Safety analytics and reporting
  • Reduced dependency on manual monitoring
Measurable Outcomes

Business Impact

  • Improved workplace safety and compliance
  • Reduced risk of workplace accidents
  • Faster response to safety violations
  • Improved safety team productivity
  • Better visibility into recurring safety issues
  • Data-driven safety management
  • Enhanced compliance monitoring across industrial operations
Direct Access

Experience Hazard Detection

Explore live public apps, stores, and demo walkthroughs delivered for this client.

Architecture & Features

Platform Capabilities

★

Conveyor & Machinery Risk Detection

Detects unsafe proximity, worker leaning over active conveyor lines, and foreign object intrusions.

★

Automated PPE Compliance Verification

Identifies missing hard hats, safety vests, gloves, goggles, and shoes across designated plant zones.

★

Geofenced Danger Zone Intrusion

Virtual boundary enforcement alerting whenever unauthorized personnel step into high-voltage or hot-work areas.

★

Instant Evidence Capture & Video Clips

Automatically records and stores 10-second video clips of every violation with timestamp and camera ID.

★

Safety Analytics & Near-Miss Logs

Identifies high-risk plant zones and repeat violation trends for proactive safety training and ISO compliance.

★

Multi-Channel Alert Broadcasts

Instantly alerts safety supervisors via dashboard popups, audio sirens, SMS, and WhatsApp notifications.

Technologies & Frameworks

Built using industry-standard modern engineering tools for high scalability, real-time response, and enterprise security.

PyTorch YOLOv8 OpenCV TensorRT NVIDIA DeepStream RTSP Video Pipeline FastAPI React

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