What is the pixel density necessary for identification?

The pixel density necessary for identification in video surveillance typically refers to the number of pixels needed to clearly distinguish an object's features, such as a person's face or a license plate. For identification to be effective, it is widely accepted that a minimum pixel density of 150+ pixels on the subject of interest is necessary. This level ensures that there is sufficient detail captured to recognize characteristics that are critical for identifying individuals or objects.

At this resolution, key facial features become distinguishable, enabling recognition software or human viewers to reliably identify subjects. This pixel density takes into account various factors such as viewing distance, camera resolution, and the size of the object in the field of view, making it essential for applications where the identification of persons or objects is critical, such as in law enforcement and security operations. Thus, achieving a pixel density of 150+ pixels is considered a best practice standard to meet these identification requirements.