To prevent break-ins and thefts, the buyers' face recognition system automatically identifies the incoming buyer, compares it with the database of violators previously caught stealing and sends notifications to responsible persons.
This solution can be relevant both for individual stores and for entire retail chains — the distributed nature of the system allows you to avoid fraud at all outlets of the network.
The facial recognition system based on video analytics works using a complex of algorithms and technologies.
CCTV cameras capture a video stream and detect people's faces on video using computer vision algorithms.
Identifying unique facial features such as eye location, nose length, mouth shape, etc. These features are used to create a unique “pattern” of the face.
The resulting face pattern is compared with information stored in a database, which may contain data about unwanted individuals previously seen in violations.
In the event of a match or identification of an undesirable person, the system instantly notifies employees of the control and security service or administration about the appearance of an unwanted visitor in the store and the need to increase vigilance.
Automatic notifications to the security service and administration can come to the monitor, phone or e-mail.
The system records video and conducts analytics on the movement and behavior of people for further use.
Facial recognition using video analytics has numerous advantages to prevent shoplifting in stores.
The system helps reduce the likelihood of repeat incidents by identifying and tracking unwanted shoppers who have previously committed theft or broken store rules. Facial recognition allows timely detection and response to potential theft, ensuring the protection of store valuables and merchandise.
The system automatically generates alerts and interacts with other security systems to respond immediately to detected violations.
Biometric facial identification provides minimal error in recognition and ensures the safety of store valuables, excluding the human factor.
This process allows the identification and identification of individuals in real time, helping to increase security levels and reduce opportunities for unscrupulous activities. Notifications about the presence of an unwanted visitor in the store are received simultaneously by several security specialists who have the opportunity to duplicate each other or perform joint actions to prevent theft.
All information is stored in the archive. The system provides quick access to the video archive. This video archive is convenient to use in the investigation of controversial and conflict situations.
The use of a video analytics system helps to reduce the number of security personnel at all entrances and exits to a supermarket or store.
Collected data on buyer behavior can be used to prevent conflict situations, analyze and improve security strategies and organization of retail space.
In general, facial recognition through video analytics allows stores to improve the effectiveness of security systems and ensure the safety of shoppers and staff.
VERNA offers a full range of services covering analysis, technical expertise, design, implementation and subsequent support and maintenance of systems. We strive to provide our customers with a complete solution to effectively solve their problems.
Thanks to our engineers who work throughout Ukraine, we quickly implement projects in any region. We offer one-stop solutions at a fixed price, which is important for regionally distributed store chains.
We understand the unique needs of retailers because we have twenty years of experience in the IT market of Ukraine, which is confirmed by the successful implementation of highly effective video analytics systems in well-known store chains. VERNA's experience guarantees reliability and quality of service for our customers.
Our partner software solutions, such as Vezha and Luxriot in the field of video analytics, are important components for the implementation of our projects. These advanced video surveillance and analytics systems offer a high level of processability for video data analysis.
They include a wide range of functions such as face recognition, motion detection, traffic analysis, cashier control, and others, making them extremely effective tools to implement video analytics in various usage scenarios. Our cooperation with these partners allows us to provide customers with advanced solutions using the most advanced technologies in this area.
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