How to Detect People in Danger Zones with AI

​How to use visual intelligence to detect people and objects in specific zones.

​In this live session, we’ll explore how to use visual intelligence to enhance workplace safety by tracking time spent in specific zones. We’ll build an AI-powered workflow to automatically detect when people or objects, such as forklifts, enter designated "red zones." 

​We'll focus on safety applications, but the principles we discuss can be adapted to other industrial use cases, such as tracking dwell time of products on an assembly line and identifying when they might be stalled.

​In this webinar, we will cover:

• ​Red zone monitoring: How visual AI plays a role in improving safety protocols and operational awareness.

• ​Building a vision AI application: We’ll walkthrough a multiple-step workflow to construct a practical vision AI application using Roboflow to detect these critical situations and automate downstream actions.

• ​Automating alerts and analytics: Configure automated alerts and connect vision insights to analytics platforms for deeper understanding and proactive decision-making.

• ​Important considerations: We'll review a few fundamentals related to choosing computer vision models and selecting the correct camera for these types of situations.

​Learn how visual intelligence can empower you to create safer environments and optimize your operational workflows. Register now to secure your spot!

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​Every Thursday at 11am ET we will showcase an exciting new feature or product. This webinar is open to everyone, we hope to see you there!

We'll also make time at the end for open Q&A.