INSPEM
INSPEM
Token: INP


Video Analitycs of Blockchain Technology

ICO dates
Start date: 2018-03-20
End date: 2018-04-16

Registrated in: Russia

Platform: Ethereum
Type: ERC20

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INSPEM categories
Artificial Intelligence Big Data Communication Infrastructure Platform
INSPEM whitepaper
Video
INSPEM token sale
KYC passing required No | Whitelist No | Restriction for countries USA
Token distribution in ICO
80%
80%
Price 1 ETH = 5,000 INP
Price in PreICO 1 ETH = 10,000 INP
Minimal investment 0.1 ETH
Acceppting BTC, ETH, Fiat
INSPEM news, social
INSPEM search trends in Google
Random whitepaper excerpts

1 Concept
…………………………………………………………..…………….2
2 Problems and their solution
……………………………………….……….3
2.1 Problem… …………………………………………...………….……..3
2.2 Solution. ………………………………………………………………..5
2.3 Blockchain usage………… ……………………………………….…10
2.4 Examples
…………………………………………………………..….10
3 Economy
…. ……………….………………...……………………………......13
3.1 Monetization. ………………………………………………………....13
3.2 Market analysis………………………………………………………..16
3.3 Market players….. …………………………………………………....18
4 Tokenomica
…………..……..….………………...………………………….....

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 sh
ow 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. Mor...

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...

VIDEO IS THE WORLD’S VASTEST INFORMATION SOURCE
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...

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 c
amera’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 cost...

Schematic representation of the interaction process:
Additional feature of the service it to request a video with the exact time and
coordinates. Real time video analytics are not required in those cases. The
camera’s owner decides on their own, whether they should share it for profit or
not. The specific examples of such would be described later in the text.
6
...

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 d
atabase. 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 th...

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.
Who pays for this?
The most concerned person in our structure is the user, who searches for specific
people or witnesses/bystanders from a certain scene. They require information on
a person, or a footage from the scene. These people are ready to pay for the
valuable information. They already pay us within the framework of current
INSPEM service with not fully realized functionality.
8
...

INSPEM Roadmap

1
April 2015
Office opened in Rostov-on-Don (Russia).
The work on the first prototype is started
2
November 2015
First version of the web-site and mobile apps for Android and iOS
3
June 2016
5000 of registered users. Second version of the site and mobile apps.
4
May 2017
First sale in AppStore USA. INSPEM engine updated.
5
August 2017
10 000 of registered users. First conversations on Al implementation into the INSPEM service.
6
March 2018
Pre-Sale preparation and realization. Signing of partnership agreements with some technological market leaders.
7
May 2018
Realization of ICO. Team expansion. First pilot version which employs Al on INSPEM platform.
8
October 2018
Fully functional support of Al-assisted face recognition and any user photo/video survallance cameras.
9
December 2018
API ready for external services connection. Integratuon with the Ambulance Drone service. Demonstration in Amsterdam.
Mikhail Bondarenko
Mikhail Bondarenko CEO & Founder

Vyacheslav Jhurkin
Vyacheslav Jhurkin CTO & Co-Founder

Andrey Jhukov
Andrey Jhukov iOS и Android Developer

Alexdander Strakh
Alexdander Strakh Smart-Contract Developer

Alexander Matvienko
Alexander Matvienko System Administrator

Lidiya Tarakanova
Lidiya Tarakanova PR manager

Boris Gorohov
Boris Gorohov Lawyer by Asia

Vadim Ivanenko
Advisors Vadim Ivanenko

Vadim Ivanenko
Vadim Ivanenko