INSPEM – Video Analitycs of Blockchain Technology


The INSPEM service was introduced in 2015; it allows users to find other people that they have randomly encountered on the subway, in the parks or any other locations. We assumed that such kind of service would predominantly be used by the male audience. However, as the statistical data shows, females made 40% of all announcements. Ladies have been simply taking pictures of the guys they liked on the streets from the afar, uploading those pictures to our service and waiting for some acquaintance to recognize that guy and share his social network profile.

This is exactly what the first version of the product was a few years ago. At the time of foundation of the service we wanted to become some sort of an analogue of «Wait for me» TV show, but as an online service.

For your information: «Wait for me» is a Russian TV show that helped to find more than 200 000 of people since it first aired in 1999. A new request to find people from all corners of the Earth is received every 10 minutes. More than 3 million of lost people are in the show’s database. There are only two countries, in which «Wait for me» does not search for people yet, and those are Antigua and Barbuda and Cape Verde.

By 2016 already, we decided to change direction. Our desire to reach the multibillion market and become a more technologically advanced company, which employs artificial intelligence and is able to apply video analytics based on learning neural networks for face recognition – these have formed a new vision of the INSPEM platform.

Employment of Big Data and advanced video analytics allow us not only to satisfy the requests of private individual to solve everyday tasks, but also to use our resource to solve more noble and important tasks. These tasks include the city safety provision, direct involvement in criminals search, saving people’s lives on the streets, becoming a more effective way of missing people search. In collaboration with the world’s IT giants we would be able to establish «smart cities».


In 5 years, INSPEM would become not only a people search service, but a large system, capable of solving much more important and serious tasks. We are capable of developing solutions, which would not only swiftly find the missing person, but also swiftly react to the events, that would be defined in our artificial intelligence algorithm as the emergencies, which require the swift intervention, such as:

● sudden street fight — the signal to the nearest policeman is sent;

● epileptic seizure — the emergency signal to the ambulance is sent;

● the person has drawn out a weapon on the street — the signal to the policeman is sent.

● the sick bystander requires an urgent assistance — other bystanders can summon a defibrillator carrying drone with special gestures.

These are just the few of the examples. Together we can make our cities safer, and reduce the missing people search time to minimal. We have a professional team and a precise understanding of what has to be done in order to reach our goals. Trust in us and we will make our world a better place!

Video is the vastest information source. At the end of 2017 NVIDIA reported that there would be more that 1 billion of cameras around the globe by 2020.

The INSPEM start-up develops a video analytics platform, which would employ artificial intelligence and the blockchain technology.

The mechanics are very simple. On one hand, anyone on the planet Earth would «on a software level» be able to connect their surveillance camera located on the face of the building, balcony of their living quarters or at their own shop, private car, etc. All that is needed is the Internet access. The platform would be able to anchor the cameras to the GPS coordinates.

One the other hand, there would always be users who would require video footage containing the face of the person they need to find. The situations vary: it may be a missing relative, or an internationally wanted criminal. The user uploads a picture of a searched person and the algorithm starts to browse through the video cameras all around the world in search for them.

When the platform has recognized the face and found the video camera that caught that person into its sight, the system provides geolocation of that camera, the precise time, when the person was found, and the footage itself. Another party (the camera’s owner) receives a reward for the provided footage.

In that way, even the regular surveillance system of a living quarter or a commercial object may become the source of profit, since 99% of the recorded data would be of no use to the owner, but may be sold to somebody.

Given the colossal amount of the analyzed data, the system would employ miners’ capacities as the most effective and relatively cheap data processing mean. The employment of artificial intelligence would reduce the search time dramatically compared to the classic algorithms. Also, this technology has the «smart cities» establishment potential in collaboration with the world’s leading corporations.

The whole procedure takes place without revealing the personal data. The picture is uploaded to the system without the specification of the full name or other data. Likewise, the INSPEM provides only the GPS coordinates and the time, when the footage was taken. The system does not know any personal data. It only finds matches.

The protection from fraud schemes should be developed thoroughly. For each commenced search of a specific person a price must be payed, which would exclude the curious loiterers out. The system doesn’t provide access to the camera’s online translation. The video footage would only be provided if it contains the face of the person, whose picture was uploaded to the system.

INSPEM firstly aims on provision of city safety. For example, the wanted criminal may freely visit the grocery supermarket, get caught into the sight of the store’s surveillance cameras and freely go home, since this footage would remain within the store. By employing the INSPEM platform, the special services would be able to upload the criminal’s picture to the database, and any user video camera which recognizes this person would immediately receive a reward through smart-contract. It’s certain, that there are way more user and commercial surveillance systems, than any government control systems.


• AI-assisted people search

Employment of learning neural networks allow to reach exceptional video analytics effectiveness results. The search for the required person comes to a brand new level.

• The whole world under sight

By 2020 there would be more than 1 billion of vidceo cameras worldcwide. Any of those devices would be able to operate under our platform.

• Safety + Health

Active implementation of partner services, which are targeted on the city safety improvement, ranging from the online registration of street fights and robberies with immediate transfer of such information to the appropriate services, to saving lives through prompt responce.





April 2015

Office opened in Rostov-on-Don (Russia).

The work on the first prototype is started


November 2015

First version of the web-site and mobile apps for Android and iOS


June 2016

5000 of registered users. Second version of the site and mobile apps.


May 2017

First sale in AppStore USA. INSPEM engine updated.


August 2017

10 000 of registered users. First conversations on Al implementation into the INSPEM service.


March 2018

Pre-Sale preparation and realization. Signing of partnership agreements with some technological market leaders.


May 2018

Realization of ICO. Team expansion. First pilot version which employs Al on INSPEM platform.


October 2018

Fully functional support of Al-assisted face recognition and any user photo/video survallance cameras.


December 2018

API ready for external services connection. Integratuon with the Ambulance Drone service. Demonstration in Amsterdam.





PRE-SALE [20 March, 2018 – 16 April, 2018]

IСO [01 May, 2018 – 28 May, 2018]












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