Field of View

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Other IQeye3 Features:
High Resolution
Field of View
Digital PTZ
Lightgrabber
Lower File Sizes
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High resolution cameras have field of view advantages that lower your system cost when compared to normal camera installations. How? Using one IQeye high resolution camera instead of two normal network cameras. In some cases, one IQeye3 replaces four normal cameras with no loss in pixel detail or coverage area.

 
Typical CCTV installation IQeye installation

Every installation has unique requirements for camera placement and lens selection.

 

Greater Field of View reduces cost three ways:

1. Smaller file sizes so less disk required for archival

2. Fewer devices to install and manage - up front and ongoing cost savings

3. Fewer network nodes - smaller switches and less wiring

Here is an excerpt from the U.S. Department of Justice report intended for use by schools when designing surveillance systems:

For observation of a camera scene to determine only if a human is in the scene (or to be able to distinguish between a person and an animal), a minimum criteria of 6 horizontal TV lines across a 1-foot-wide object within the scene is used. (In terms of active picture elements, this means that a 1-foot-wide object would cover 8 horizontal active picture elements for each row of picture elements for the height of the object on the camera imager.) For identification of a person by facial features, 16 horizontal lines (21 pixels) of resolution subtending a 1-foot-wide object is needed.

To test this, we took some pictures with an IQeye3. The area highlighted as the face below is about 10" high, so the DOJ report would allow the use of the smallest image represented. We think it gets fuzzy long before that, and our consensus was to use twice as many lines as the minimum standard. Wouldn't you rather have good image detail?

  

Methodology: Using an IQeye3 and a 6.5 mm lens we increased distance and took an exposure until the face was unrecognizable. Then the head and shoulders was cropped from the large image. We used Photoshop to copy the face and enlarged it to 92 by 110 (the native resolution of the largest face) using bicubic interpolation. No sharpening or other manipulation was used.
   

 
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