All of the currently existing solutions are local and limited:
● the search is limited by a specific data base.
● the video data is received from a limited number of devices (government owned cameras, commercial cameras within a certain object).
INSPEM is a blockcain based artificial intelligence that able to recognize faces and objects using mobile phones and static cameras.
Missing people search Quite a lot of time passes from the point a person has gone missing until the start of the search for them. Search squads and police still search for missing people using flashlights in the outdoors and abandoned buildings. If that person is not wanted on a federal or international level (which does not happen in such cases), their relatives have little to no chances to find them in another city. It’s often that the information on persons movement could be obtained through quicker, more technological approach. There is currently no unified database, to which one could have uploaded a person’s picture to track their movements around the city or the country. The police has one database, the Interpol has another, the search squads has yet another and so on. All these factors stand in the way of quick determination of the specific person’s location or their movements.
Bystander/witness search Looking for a person, who was in a specific place at specific time and you need to contact them? Found someone on a subway or in a park/bar/nearby car attractive, and you do not know how to find him or her? Criminals search Got your wallet, bag or other valuable item stolen? Find witnesses or video footage from the crime scene. For the majority of citizens the access to the third-party surveillance cameras footage is still impossible. It usually becomes possible only after an appeal to the police or by the judge’s decision. It is critical in those cases, when the footage has to be obtained swiftly. Each city has a continuing «blind» zone problem; those are the zones outside the cameras sight. This problem is even more pronounced in the small towns.
