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How to Detect People in Danger Zones with AI

Roboflow via YouTube

Overview

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This tutorial demonstrates how to implement AI-based safety monitoring by tracking people and objects in dangerous "red zones." Learn to build a complete vision AI workflow that detects when workers or equipment like forklifts enter restricted areas, measures time spent in these zones, and integrates this data with other systems for long-term safety analysis. Follow along as the presenter walks through the entire process from problem definition to deployment, covering the creation of a Red Zone Tracker in Workflows (3:40), testing and deployment procedures (6:40), and exploring integration options with other systems and active learning techniques (8:50). Perfect for safety managers, developers, and anyone interested in applying computer vision to workplace safety challenges.

Syllabus

00:00 Introduction: Problem Statement & Tools We're Using
03:40 How to Build a Red Zone Tracker in Workflows
06:40 Deploying and Testing the Red Zone Tracker
08:50 Exploring Integration Options & Active Learning

Taught by

Roboflow

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