Facial recognition is difficult to earn a profit for several key reasons: a) FR customers tend to already have large camera networks they want to add FR, meanin

Facial recognition is difficult to earn a profit for several key reasons: a) FR customers tend to already have large camera networks they want to add FR, meaning the profits of selling the customer cameras and the quality control over the camera image quality is gone; b) FR customers tend so already have video surveillance management software, and expect any added FR software to interoperate as a plugin or 2nd class application to their surveillance management software; c) most/all of the cameras were never intended for FR use, but this new potential client has existing relationships for their security cameras and networking, so the FR vendor will need to work with/for this 3rd party company that already has the video surveillance management contract... Their guys operating the FR system day to day need to be trained how to install FR appropriate view cameras, understand issues such as variances of illumination, indoor and outdoor lighting, and the necessity for timed outside lights and so on. Then after all that, specialists configuring the FR system to be tuned for accuracy across all indoor and outdoor environments across all time frames of monitoring. With the logistics of each FR customer being unique, add in these other existing infrastructure hurdles, and then mix in the uncertainty of the FR system's configuration and it working with light to no technical trained staff? FR is very difficult to do successfully, and that equates to very difficult to do profitably.