The reasons are manifold. The most visible is on the large volume of data to be processed. Then the concept of artificial intelligence or learning machine complements or even replaces human intelligence. It is indeed necessary for visual recognition algorithms to generate textual information with quality. Finally, existing solutions are cumbersome to configure and expensive to implement. Disappointments about the reliability of these systems since 2005 have been many.

For example, let’s briefly study the multiplication of on-site raw materials thefts, especially metals, and construction equipment. A site is "open place" that is to say, direct interaction with the natural elements (rain, wind, wild animals, pets ...). The establishment of a basic solution based presence detectors deters intrusion, detects fire... It can rarely confirm these alarms, analyze a situation and make a historical event. The use of tracers does not prevent theft but increases the risk of the thief. Etc...

A CCTV system, basic, meanwhile, consists of unidirectional cameras, dome cameras, analog or digital, infrared or in the visible spectrum, is connected to a monitoring center. The cameras are   scrutinized by one or more operators who watch a lot of those cameras. Fatigue or weariness, too many cameras to monitor, the fear of false positives and sometimes the lack of training make that an intrusion or theft is handled with a too long delay sufficient to avoid the financial result such as a lengthy analysis manual video streams to understand the intrusion and try to find the culprits.

A video surveillance system allows more advanced, often in addition to a basic solution, to configure and manage the modules of automatic analysis and detection of events based cameras. This generates a large number of notifications, usually by e-mail or XML messages, with an ARC (Alarm Receiving Center). The passage of an animal such as a cat or a rat triggers alarms. A crowdy place also pollutes most of these automatic systems. Discern in this mass of information the relevant thresholds remains a challenge.

Three main elements stand out:

-          Integrate artificial intelligence to cameras is required;

-          Being able to handle large volumes of information at a low cost is necessary;

-          Generate contextualized information from cameras is useful.