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AI Factory Safety Monitoring: PPE, Smoke & Fire Detection

Develop an AI-powered real-time factory safety monitoring system using CCTV or recorded video feeds. The system should automatically identify whether workers are following required PPE guidelines, including helmets, high-visibility vests, safety footwear, and gloves where applicable. It should also detect early signs of smoke and fire, helping overcome the delays and inconsistencies associated with manual monitoring and standalone alarms. When a safety violation or hazardous event is detected, the system should generate rapid, location-specific alerts containing relevant context, such as the affected area and type of incident. The overall objective is to improve safety compliance, accelerate emergency response, and reduce workplace injuries and damage.

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Overview

Problem statement PS06 for STPI at BPUT Hackathon 2026 — full official brief below.

The brief

Factories face constant risk from unsafe worker practices and hazardous incidents such as smoke and fire. Yet detection and response are often delayed or inconsistent. Many industrial sites rely on manual monitoring, periodic inspections, or standalone alarms that may not quickly identify unsafe gear usage or provide timely, location-specific evidence of smoke or fire. This leads to slower evacuation, increased damage, and higher risk of injury or worse outcomes.

There is a need for an AI-based, real-time monitoring system that can automatically detect whether workers are wearing required safety gear and identify early signs of smoke and fire within factory premises. The solution should operate reliably in dynamic industrial environments, support fast alerting to the right personnel, and help reduce incident response time by providing actionable insights such as the affected area and detected event type.

Hackathon Goal

Build a prototype AI system that detects:

Safety gear compliance (e.g., helmets, high-visibility vests, protective footwear, gloves where applicable), Smoke presence, Fire presence in real time from CCTV/video feeds or recorded footage, and generates alerts with location/context to enable faster intervention and improved safety compliance across factory operations.

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