Turn Cameras into AI Safety Monitors: Helmet Detection with Ant Media AI Vision

Security cameras only help if someone is watching. With AI safety monitoring, your live streams get watched automatically — violations are detected, and your team gets alerted.

Ant Media Server AI Vision uses Vision Language Models (VLMs) and simple natural-language prompts. No custom model training per use case. One example: detect workers without safety helmets on a construction site.

What you need

• Ant Media Server with the AI Vision plugin
• A VLM (cloud or on-prem, OpenAI-compatible)
• A live stream (IP camera, WebRTC, RTMP, SRT, etc.)

UI: https://{AMS_URL}/{AppName}/aivision.html
(Everything also works via REST APIs.)

Quick setup

1. Ingest the camera

Add a Stream Source (e.g. RTSP) in the AMS dashboard and wait until it’s Broadcasting.

2. Configure AI Vision

Set Base URL, Token, Model (e.g. gpt-4o-mini), and optional Alert Webhook → Save.

3. Use a clear prompt

• Is any person in this frame not wearing a safety helmet?
• If yes, respond with ALERT:{brief explanation}.

If everyone is wearing a safety helmet, respond with:
No safety helmet violation detected.

4. Test

Helmets on → No safety helmet violation detected.
Helmet missing → ALERT: One person is not wearing a safety helmet.

Alerts show in the UI and can be sent to your webhook as JSON.

5. Go continuous

Enable Continuous, set an interval (e.g. 10s), and optionally apply to all streams. AI Vision keeps monitoring without a human watching every feed.

Why this matters
Same tool, different prompts — helmet checks, fire/smoke, falls, restricted areas, product defects, and more. Scale from one camera to many without training a new model each time.

Learn more
Full walkthrough: AI Safety Monitoring: Helmet Detection
Contact: [email protected]