Логотип Bit

RU

EN

RU

EN

INTELLECTUAL APPROACH TO LOSS PREVENTION

We create solutions based on facial recognition systems to provide a new level of security for your business

INTELLECTUAL APPROACH TO LOSS PREVENTION

99%

Recognition accuracy

< 1

Second per request

> 1 ,5

Billion persons in the database

INTELLECTUAL APPROACH TO LOSS PREVENTION

ABOUT COMPANY

We have been developing business security solutions for more than 10 years.

Our products STOP FRAUD, NEO AND STOP SHOPLIFTER are widely used in industrial enterprises, banks, logistics companies, retail chains and malls, places of mass crowding.

We guarantee our partners confidentiality of work and do not disclose the fact of cooperation.


Activities:

  • Data analysis systems development
  • Processing and systematizing a large amount of information
  • Solutions based on face recognition systems
  • System integration
  • Monitoring open data sources
  • Handling various data types

Project geography

Aktobe Almaty Altai territory Amur region Arkhangelsk region Astana Astrakhan region Republic of Bashkortostan Belgorod region Bryansk region Vladimir region Volgograd region Vologda region Voronezh region Jewish autonomous region Transbaikal region Ivanovo region Irkutsk region Kaliningrad region Kaluga region Republic of Karelia Kemerovo region Kostroma region Krasnodar territory Krasnoyarsk territory Kurgan region Kursk region Leningrad region Lipetzk region Magadan region Republic of Marij El Minsk Republic of Mordovia Moscow region Murmansk region Yamalo-Nenets autonomous district Nizhni Novgorod region Novosibirsk region Omsk region Orenburg region Oryol region Perm territory Primorsky territory Pskov region Republic of Buryatia Republic of Komi Republic of Sakha (Yakutia) Republic of Khakasia Republic of Adygeya Rostov region Ryazan region Samara region Saratov region Sakhalin region Sverdlovsk region Smolensk region Republic of Tatarstan Tver region Tomsk region Tula region Tyumen region Udmurtian Republic Ulyanovsk region Khabarovsk territory Khanty-Mansijsk autonomous district – Yugra Chelyabinsk region Chuvashi Republic Shymkent Yamalo-Nenets Autonomous Okrug Yaroslavl region

2013

Company foundation

2017

Active expansion in Russia

2018

Entering new CIS markets

2020

Registration in the Ministry of Digital Development

2021

Resident of Skolkovo

2022

Predictive video analytics

Advantages

Safety first

We guarantee our partners confidentiality of cooperation, complete data security and no legal risks

Predicted result

Our approach allows our clients to achieve planned and measurable indicators of reducing losses in clear and predictable terms, which allows us to clearly plan work in this area

Easy scalability

All our solutions are easily integrated with each other. We also have huge experience in implementing large infrastructure projects. This allows our customers to feel confident in the face of even the most ambitious tasks.

Solutions

For logistics and financial sector

Fraud prevention in the credit and financial sector, insurance and logistics based on a face recognition system

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For different economic sectors

Security of private companies and public entities. Flexible system that can be customized to your needs

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For retail and shopping malls

Shoplifting preventing based on a face recognition system

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Authorized partners

FAQ

The Server, located on Customer’s territory, processes image, received from the camera, finds faces on it, detects them and converts them into descriptor/numeric values. Then, via a secure channel, it sends obtained descriptors to the IAS server, where the received numeric values are compared with the archive of the offenders' descriptors. As if there is a sufficient degree of similarity of the two detected numeric values, the Customer's employees receive information that the person from the image looks like an intruder.
Transfer of any personal data, including biometric, between the Customer and the Company is not provided. A photograph can be classified as biometric personal data in case when identification is clarified using a document, for example, a pass or a photographic template, created in accordance with GOST in the established order.
The systems operate under various facial recognition conditions, including partial overlap in uncontrolled shooting conditions.
It is possible to do a pilot project on the Customer’s infrastructure, if it meets the necessary technical requirements. Otherwise, a contracting organization may be involved to implement the pilot. In most cases, the equipment available to the Customers is sufficient for a test drive of the systems.
BIT Company is registered in the Register of Operators Processing Personal Data of the Russian Federation, accredited in the Register of Accredited Organizations Operating in the Field of Information Technology of the Russian Federation, and is a resident of the innovation center «Skolkovo». The company's solutions are registered in the Register of Domestic Software of the Russian Federation. The company's activities are carried out in accordance with the Federal Law "On Personal Data" dated July 27, 2006 N 152-FZ.
Real time for launching the project depends on meeting the technical requirements of the project. If the necessary equipment that meets the requirements of the system is available and the customer provides all the necessary access for the company's employees, the IAS launch time in 1 store will be from 40 minutes to 1.5 hours.

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