The most common cost mistake: choosing cameras before the purpose
Many requests start with a camera count: 'we need eight cameras for the yard.' The question that should come first is what the camera actually needs to make recognizable. A general overview that shows someone approaching the gate needs different optics than a camera meant to read a license plate at night — which again differs sharply from a camera that has to resolve faces for identification.
Skip that question, and you end up with a system that either proves nothing when it matters, because the footage is too coarse, or one that is far more capable — and expensive — than the actual purpose required. Both cost money: one later, the other immediately.
- Overview/presence: lower requirements on optics and resolution
- License plate capture: defined distance, angle, and lighting are required
- Facial recognition: highest demands on resolution, positioning, and backlight
- The answer to 'what for' should decide the camera, not the other way round