25.11.2022

Skolkovo Resident introduces predictive video analytics to prevent theft in retail

"BIT" company - developer of information and analytical system "STOP-Shoplifter" - patented a new module of predictive video analytics.

22.07.2021

In Yekaterinburg teen gangs receive orders to raid shops via telegram-channels

Yekaterinburg teenage gangs that raid shops have centralized management through social networks. Through social networks, they receive instructions and training.

29.04.2020

Masked, sober, middle-aged. How did the picture of a shoplifter change during the pandemic?

The masks have now become obsolete and are used by thieves. But recognition systems can determine a person’s gender and age.

29.04.2020

The social situation has changed. What does a shoplifter look like now?

The masks have now become obsolete and are used by thieves. But recognition systems can determine a person’s gender and age.

29.04.2020

Experts have made a portrait of a shoplifter in quarantine

The masks have now become obsolete and are used by thieves. But recognition systems can determine a person’s gender and age.

07.09.2019

Experts have made a portrait of a shoplifter in quarantine

The masks have now become obsolete and are used by thieves. But recognition systems can determine a person’s gender and age.

31.07.2019

The most stolen by Russian shoplifters goods were named

The most stolen goods from Russian grocery stores in 2019 were cheese, sausage, seafood, coffee, candy and confectionery products, as well as beer and other alcohol, found BIT Company, developer of solutions for protection against shoplifting using facial recognition.

30.05.2019

160 thieves of goods helped to delay the system of face recognition in the chain of shops «Podruzhka»

160 shoplifters of goods were detained in the chain of shops «Podruzhka» for six months thanks to facial recognition technology. The amount of compensation exceeded 500 thousand rubles.

21.01.2019

Portrait of a typical shop thief in Russia

A typical Russian shoplifter is a man under the age of 35 who is under the influence of alcohol, has no regular income and has committed violations. The average amount of theft - a thousand rubles, found experts.