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.
Predictive video analytics systems are a natural evolutionary stage in the development of recognition systems. Over the years, a wealth of data has been accumulated on shoplifting and related individuals. The development of neural networks allows to predict the further development of the situation on the basis of the own developed algorithms of mathematical modeling and behavioral analysis, to identify persons who should be paid additional attention and, if necessary, conduct proactive adjustment of their actions, prevent theft.
The program, using predictive analytics algorithms, will help prevent theft and related conflict and dangerous situations in the store, reduce losses from theft and security costs.
IAS "STOP-Shoplifter" is a solution for intellectual prevention of shoplifting. A single security circuit uniting more than 10 thousand. objects retail of all federal districts of Russia, Belarus and Kazakhstan. Using the facial recognition system, video surveillance becomes not only a tool for recording incidents, but also for preventing them.
"BIT" Company is "Skolkovo" resident, one of the leading developers of security solutions based on biometrics. The company’s products are included in the Russian software registry and are used to detect and prevent theft and fraud in the financial sector, logistics and retail.
Source: Retail.ru
Predictive video analytics systems are a natural evolutionary stage in the development of recognition systems. Over the years, a wealth of data has been accumulated on shoplifting and related individuals. The development of neural networks allows to predict the further development of the situation on the basis of the own developed algorithms of mathematical modeling and behavioral analysis, to identify persons who should be paid additional attention and, if necessary, conduct proactive adjustment of their actions, prevent theft.
The program, using predictive analytics algorithms, will help prevent theft and related conflict and dangerous situations in the store, reduce losses from theft and security costs.
IAS "STOP-Shoplifter" is a solution for intellectual prevention of shoplifting. A single security circuit uniting more than 10 thousand. objects retail of all federal districts of Russia, Belarus and Kazakhstan. Using the facial recognition system, video surveillance becomes not only a tool for recording incidents, but also for preventing them.
"BIT" Company is "Skolkovo" resident, one of the leading developers of security solutions based on biometrics. The company’s products are included in the Russian software registry and are used to detect and prevent theft and fraud in the financial sector, logistics and retail.
Source: Retail.ru