[ANN][ICO] 🌎 INSPEM - VIDEO ANALYTICS REVOLUTION 🌎

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INSPEM
Video analytics revolution for people search.

PRE-SALE         [20 Mar, 2018 - 16 Apr, 2018]         Hard cap: 2,000 ETH Token price: 1 ETH = 5 000 INP Bonus: 50-100%

ICO         [01 May, 2018 - 28 May, 2018]         Hard cap: 30,000 ETH Token price: 1 ETH = 5 000 INP Bonus: 0-30%

CONCEPT

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».

PROBLEM

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).

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.

SOLUTION

Key features:

The    large scale of the INSPEM service allow carrying out the search in    any corner of the Earth.
The    INSPEM ver.2.0 platform would employ the advanced video analytics    based on learning neural networks for the swiftest and the most    effective face recognition.    

   

Our solution
Our technology is built around the main principle: being able to find a person without revealing their personal information, which is of utmost importance in most of the countries.
Any person on the planet would be able to connect any IP-camera, smartphone or a driving recorder to our platform on a software level. The connection would be established by the means DynDNS or P2P services, which are the most accessible for the regular user. The camera would remain at the same place and record footage as usual. The only requirement is the Internet connection.

Then the user logs into INSPEM, registers his camera by specifying its serial number and password. After that, the service requests the network location of the camera from the vendor’s server and passes it to the nearest (in terms of the network) host for processing. What we get is the decentralization and the minimal network load. Vendor’s servers together with INSPEM participate in the connection establishment stage, while INSPEM tracks the analytics operations and receive results.

The INSPEM platform does not record videos from the user cameras on its side: firstly, that would violate our confidentiality principle, secondly, that is a colossal amount of data, the storage of which would be costly and unnecessary for us.

Given the large amounts of analyzed data from the video cameras all around the world, we are forced to employ miners’ capacities. This allows bypassing the easy scaling limit, which every local video analytics system is bound by. Decentralization would also promote effective network traffic distribution, since it would go the briefest way.

Any user would be able to upload the picture of the searched person to the INSPEM service. What we get is the large database of people pictures, on one hand, and the large amount of video cameras (up to 1 million devices market potential), which analyze the continuous face flow in real time.

When a match is found, the platform exchanges both sides with valuables: a reward to a video camera owner for the provided resource, and the image of the recognized face with the video camera’s geographical coordinates. This is what happens in detail.

The search commenced, and the possible positive results have shown up. A user browses through them and clicks on the one that he thinks is the right one to get additional information. That is precisely the action that is deemed as a true positive result that costs the user, for example, the price of 0.01$. After that, the user receives a geolocation and an offer to watch the captured footage fragment with that specific episode, but it would cost the user additional 1$. When the user selects the preview, the platform uploads the video fragment to its servers without the need for camera’s owner authorization (the owner accepts or rejects that feature upon registration), and stores it for 1 day. If the user decides not to pay for the full video, the INSPEM platform automatically deletes it from its servers after 24 hours have passed. In that case the user receives the unique search result number and has an opportunity to come back later and download that video clip, but now for the price of 2$ (if it’s technically possible by that time).

For government structures
We are quite open for collaboration with the government services, which conduct people searches, but are limited with their resources or meet with one or more of the following obstacles: lack of video cameras in certain areas, dead zones, poor video quality, etc. We aim to become a direct contributor to the establishment of safe cities.

Here is the example: mass events. In order to provide safety the government organs connect to the platform, specify the event’s area and upload their criminals’ pictures database. This becomes a priority task for INSPEM. Additional miners are being connected and the enhanced analysis is being carried out.

To save people’s lives
The rescue services and the fellow citizens who help a sick bystander could use our technology.

Here's an example: a person on the street with a heart failure requires urgent assistance. Bystanders show certain gestures to the nearest surveillance camera, in a few minutes a drone that carries a diffibrilator/medkit/oxygen mask/etc appears. As a first prototype solution we consider collaboration with Ambulance Drone by TuDelft.

For users
Our technology allows to solve a lot of everyday tasks, when you do not know the first and last names of the person, who was in a specific location at a specific time.

An example of such tasks: a person got their bag stolen or lost their documents and knows the approximate position of that event. He submits an announcement to the system with a specified geolocation, and all the bystanders who were in that spot at that time can help them. Perhaps, they saw that incident or captured something relevant on their car’s driving recorder.

A person searches for a car crush witnesses and is ready to pay for video captured from a car that was driving by, when the accident occurred. Anyone who has a relevant footage could help him. Another person simply marks the key points of the route on which they have been driving on today and instantaneously see the footage requests (if the person installs our smartphone application, the route would be created automatically). They receive a reward and help the victim.

Desired person search. This task got our project started. The amount of registered people and announcements submitted to the INSPEM service directly demonstrate its potential. A guy liked a girl he saw on a concert, or in the park/on a subway/in a cafe, but he was too shy to get acquainted. How would he find her now? He should submit an announcement to our service with the geolocation and exact time when he met her, and then wait for her response, or for her friends to share a link to her social network profile. Our statistics have shown, that the women submitted almost a half of all announcements.

ROADMAP

Our whitepaper:
Download

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HTTP://ICO.INSPEM.COM