INSPEM: The Face Analysis Revolution

INTRODUCTION

The INSPEM service was introduced in 2015; it lets users find other people they encounter randomly on the subway, in parks or other locations. We assume that such services will be used by male audiences. However, as statistics show, women make up 40% of all announcements. The women have taken photos of people they love on the road from a distance, uploading those photos to our service and waiting for some acquaintances to recognize the man and share his social networking profile.

By 2016 already, we decided to change course. Our desire to reach the multibillion market and become a more technologically advanced company, which uses artificial intelligence and is able to apply video analysis based on learning neural networks for facial recognition - this has formed a new vision of the INSPEM platform.

The uses and benefits of INSPEM are great ,just for instance :

● For government structures

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:

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.

Ok, 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.mportantIt is important to note, that the user of the service will not be able to receive access to any video camera, both to an online translation and the archived footages. It is done, of course, in safety concerns.

HOW IT WORKS

Our technology is built around the main principle: can find someone without disclosing their personal information, which is most important in most of the countries

Anyone on the planet will be able to connect all IP cameras, smartphones, or recorders driving to our platforms at the software level. Connections will be established by means of DynDNS or P2P services, which are the most accessible to regular users. The camera will stay in the same place and record as usual. The only requirement is the Internet connection.

The user then logs into INSPEM, registering the camera by specifying the serial number and password. After that, the service requests the location of the camera network from the vendor's server and passes it to the nearest (in case of network) host to be processed. What we get is decentralization and minimal network load. Server vendors together with INSPEM participate in the connection establishment phase, while INSPEM tracks analytic operations and receives results.

TEAM INSPEM

Mikhail Bondarenko, CEO of Founder.
Graduated from the Federal University of Southern Russia, «Protection of communication systems» special, defended the graduation thesis about «Biometric identification means of person". Having business experience since 2010. Successful start of 5 projects, both at retail and on the Internet.
Facebook: https: // www.facebook.com/bondarenko17
LinkedIn: https://www.linkedin.com/in/mikhail-bondarenko-2b987790/
Vyacheslav Jhurkin, CTO.
Have a technical radio education. Survailance and access control system engineers. Has 8 years experience of implementing complex IT solutions for Sberbank and other banks, government structures, hydroelectric plants.
LinkedIn: https://www.linkedin.com/in/vyacheslav-jhurkin-8b1a3515b/
Alexdander Strakh, Smart-Contract Developer.
Graduated from State Engineering Bauman Moscow University. Have more than 10 years high load system develop and 3 years development of blockchain. Encoding languages: Solidity, C ++, JavaScript.
LinkedIn: https://www.linkedin.com/in/cromlehg/
Andrey Jhukov, iOS and Android developer.
Technical Education. Over 10 years coding experience. Have 5 years experience of Android and iOS
Linked Application Development : https://www.linkedin.com/in/andrey-jhukov-629a3615b/
Alexander Matvienko, System Administrator.
Technical Education. Over 10 years of network administration and server maintenance experience. C ++
LinkedIn coding skills : https://www.linkedin.com/in/%D0%B0%D0%BB%D0%B5%D0%BA%D1%81%D0%B0%D0%BD%D0% B0% D0% B0% B0% D0% B0% D0% BD% D0% BA% D0% BE-807a3715b / D0% D0% B0% D1%
Lidiya Tarakanova, PR Manager.
Graduated from university teacher, foreign language faculty. Taught English and Spanish languages. Have a 5 years marketing campaign experience.
LinkedIn: https://www.linkedin.com/in/%D0%BB%D0%B8%D0%B4%D0%B8%D1%8F-%D1%82%D0%B0%D1%80%D0% B0% D0% BA% D0% B0% D0% BD% D0% BE% D0% B2% D0% B0-1baa3415b /
Boris Gorokhov, lawyer in China
Graduated from Shanghai Politics Science and Law University. Legal affairs in China and Asia market.
Facebook: https://www.facebook.com/bridge2china
LinkedIn: https://www.linkedin.com/in/bridge2china/
Anna Derkunskaya, Graphic Designer
A highly experienced graphical interface designer
Vitaliy Murugov, Lawyer. Economist
He graduated from Agricultural University with a degree of "Lawyers", as well as the State University of Technology Kuban with a degree in experience "Economist" Lawyer since 2010.
Facebook: https://www.facebook.com/profile.php?id=100008736155525