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Connect your cameras. Analyse instantly

Supported stream formats

  • RTSP
  • HTTP
  • HTTPS

Vision Stream connects live IP and CCTV camera feeds directly to the Tiliter Vision AI Agent Platform.

Add a stream URL from any supported camera and start analysing live snapshots as they arrive.

Everything runs through your existing network - no custom devices or installation work needed.

Power real-time snapshot analysis with your IP and CCTV cameras

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1. Faster checkouts, fewer errors

Go to Tiliter's Agent Platform and create an account in seconds.

2. Install the Frame Forwarder

Navigate to IP camera tool. Download and run the Frame Forwarder service for your platform. This service enables your computer or server to connect to IP and CCTV cameras.

3. Add your camera URL

Enter an RTSP, HTTP, or HTTPS stream link from your camera and set a cadence for your snapshots.

4. Confirm the camera is reachable

Make sure the stream loads from your network and that any credentials are correct.

5. Choose the right agent

Choose the analysis you want to run - object checks, damage detection, cleanliness, text extraction, and more.

6. Start receiving results

The Frame Forwarder pulls snapshots automatically and sends them to the Vision Agent Platform. Results appear in real time through the API, webhooks, dashboards, or your integration.

Flexible for any environment

Vision Stream supports tasks in multiple industries

  • Logistics: Improve accuracy across the entire logistics chain with automated visual checks.
  • Industrial Automation: Strengthen quality assurance and improve manufacturing reliability with automated visual oversight.
  • Retail: Enhance retail execution and reduce errors with Vision Agents.
  • Smart Environments: Improve space management and service quality with continuous visual insights.

Logistics use cases

Live camera feeds help track stock levels, verify trailer loads, detect damage during handling, and monitor packing or dispatch areas in real time.

This improves throughput, reduces errors, and automates routine visual checks without slowing operations.

Additional tasks supported include monitoring pallet movements, confirming correct item placement, checking dock activity, and spotting bottlenecks in high-traffic areas.

Industrial Automation use cases

Continuous visual monitoring supports part verification, assembly checks, and equipment inspection across production lines and workstations.

This helps detect defects earlier, prevent rework, and maintain consistent quality standards.

Teams can also spot missing or misaligned components, confirm correct tool usage, monitor safety zones, and identify leaks or wear in critical assets as they develop.

Retail use cases

Real-time visual checks help maintain shelf availability, monitor product condition, and keep back-of-house areas running smoothly.

This reduces manual inspection work, improves product presentation, and ensures customers can always find what they need.

Other tasks include verifying restocking activity, checking display freshness, monitoring promotional areas, spotting issues before they affect shoppers, and supporting fraud prevention by detecting inconsistencies between scanned items and what’s at the checkout.

Smart Environments use cases

Cameras in public or shared spaces help monitor occupancy, cleanliness levels, and movement patterns throughout the day.

This provides real-time awareness of how spaces are used and where attention is needed.

With continuous visibility, facilities can detect spills quickly, respond to overcrowded areas, manage queues more effectively, and carry out safety checks with greater consistency.

Ready to see Vision AI agents in action?

Get access