3 ms·

The Nest doorbell is fairly good at this, but it has a relatively narrow field of view and 1080p resolution. Most of the CCTVs out there have a very wide field

• jjxw 8y ago
  As another commenter pointed out, it also doesn't have to sift through thousands of faces. Chances are the doorbell is only exposed to a handful of faces a day which greatly reduces the volume of false positives regardless of the field of view and resolution.
  • bsenftner 8y ago
    Modern FR systems can compare tens of millions of faces per second, per core, on a $99 Intel Compute Stick. The thing that sucks about Nest and similar "security cameras" is their wide angles - that makes the distance of recognition far too close. To detect a face, FR needs between 28 and 54 pixels of head height, but to recognize with accuracy is requires a minimum of 120 pixels of head height. A Nest camera will not produce a head that large until it is 3 feet from the camera. I'd prefer to make recognition at 30 feet or more, preferably when a bad actor is not yet inside the property.