What is the minimum pixel density required for detection?

For effective detection in video surveillance, minimum pixel density is crucial because it directly impacts the clarity and recognizability of objects within the field of view. A minimum of 7+ pixels on a target is generally considered the baseline for detection purposes, ensuring that the subject can be accurately picked up by the video analysis algorithms. This threshold aids in distinguishing between different objects, which is vital for tasks like facial recognition, vehicle identification, and other security measures.

Higher pixel density enhances detection but also requires more processing power and storage capacity. Therefore, while options that suggest 40+ or 150+ pixels would provide better quality for recognition and identification, they exceed the necessary requirements for mere detection. In contrast, lower figures like 3+ pixels would likely be insufficient for reliable detection, as objects may not be adequately defined for analysis. The choice of 7+ pixels strikes a practical balance between achieving reliable detection without unnecessarily complicating the video processing infrastructure.