Can you use existing cameras in a computer vision project?

Published on by Omnicog team. Updated on .

Often, yes. Cameras already installed can be used for computer vision when their resolution, angle, lighting and connection are suitable for the event you want to detect. Ideally, test with real scenes before replacing any equipment.

What to assess

  • Resolution and compression.
  • Angle, height and distance to the target.
  • Lighting throughout the day and night.
  • Obstructions and changes in the scene.
  • Stability of the video stream and the network.
  • Compatibility with VMS, RTSP or ONVIF.

The application defines the requirement

Counting people at an entrance, detecting a vehicle at long range and identifying a small object are different problems. The camera has to be assessed against the desired event.

Start with a real sample

Before replacing infrastructure, test representative scenes and technical feasibility. This reduces risk and shows where changes are actually needed.

Read next: what is computer vision and how the camera assessment works.

Assessment of your cameras

The first step is to look at the cameras you already have and tell you what they can do. Then a proof of concept with your own footage shows the result in the field. Depending on the size of the project, both steps can be free of charge, and the proof of concept starts running within 10 days of the agreement between the parties.

Frequently asked questions

Can analog cameras be used for computer vision?

They can, when the recorder (DVR) makes the video available over the network via RTSP and the image quality is good enough for the desired event. The assessment is done camera by camera.

What do you want your cameras to tell you?

Tell us what you need to detect, measure or monitor. We start with the problem, not the technology, and the assessment uses images from the cameras you already have.

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