Stop Shoplifter

2019: Using Stop Shoplifter it was succeeded to prevent thefts from network shops for the amount more than 150 million rubles

In 2019 using the solution "STOP Shoplifter" with face recognition of NtechLab it was succeeded to prevent thefts from network shops for the amount more than 150 million rubles. Read more here.

The solution BIT of IAS "Shoplifter" is implemented by STOP in more, than in two tens retail networks in the largest cities of Russia, including Moscow, St. Petersburg, Novosibirsk, Yekaterinburg, Nizhny Novgorod, Kazan, Chelyabinsk, Samara, Ufa, Volgograd, Tula, Vladimir, Khabarovsk. A part of the solution is the algorithm NtechLab allowing to recognize the person of the potential violator and to send to the security organization the notification at its repeated emergence in any of shops of retail chain stores.

2018: Using Stop Shoplifter about 65 thousand citizens who made petty theft are revealed

On January 21, 2019 the company BIT (BITS) reported that "STOP developed by it IAS Shoplifter" revealed about sixty five thousand persons which were taking out unpaid goods from shops in a number of the large cities in 2018 Russia. The statistical data, received by a system thanks to algorithm FindFace from one of world leaders fields biometric of technologies depersonalized NtechLab, allowed BIT to make a portrait of a typical Russian shoplifter.

The solution BIT of IAS "Shoplifter" for January, 2019 is implemented by STOP in shops 14 retail networks in the largest cities of Russia, including Moscow, St. Petersburg, Yekaterinburg, Novosibirsk, Ufa, Kazan, Samara, Nizhny Novgorod, Volgograd, Chelyabinsk. A part of the solution is the algorithm NtechLab allowing to recognize the person of the potential violator and also to define his gender and age.

In total for 2018 a system identified 64,743 citizens, made petty theft. Most often it is men (their about 78% of all revealed) aged from 18 up to 35 years (about 60% of persons were the share of this age group). Consolidation of data of video analytics with data of open statistics of the Ministry of Internal Affairs for January-November, 2018 gave BIT the grounds to add a portrait of a shoplifter: most often he has no permanent source of income, earlier already committed illegal acts and also with probability more than 30% are in state of intoxication. The average amount of theft was 1000 rubles.

The company told that retail networks more than two years are engaged in implementation of face recognition in cameras of shops from large. Generally they are applied to prevention of petty thefts. The solution "STOP Shoplifter" helps the organizations from the sphere of retail considerably to reduce a lost profit – by estimates of analysts, losses from actions of shoplifter can make 2-3% of turnover of shop.

It was not also without funny situations. So, in one of shops of network "STOP Shoplifter" added all employees for accounting of their working time to base of persons IAS. As a result it became clear that more than 10 employees regularly committed thefts, and both at competitors, and in shops of the network.

Solutions of NtechLab on the basis of our algorithm FindFace are already used in the large cities of Russia and abroad in the field of public security. For example, in 2018 our solutions helped to ensure safety of stadiums and fan zones in Moscow within holding the FIFA World Cup. Successful use of FindFace technologies in fight against shoplifter - a good example of how face recognition can be used by commercial structures, promoting increase in business performance. Mikhail Ivanov, CEO of NtechLab