In recent years, there has been a trend to move from traditional video surveillance to video analysis. The global transition to digital technologies allows expanding the capabilities of video surveillance systems, turning them into full-fledged intelligent modules for detection and analytics.
VERNA has in its portfolio implemented cases with video analytics-based solutions for large retail chains. We have implemented a series of video analytics systems for our clients that solve various business, marketing and security challenges. They reduce losses from violations and thefts in the trading room, control the work of cash registers, optimize the work of staff. To increase loyalty, we have implemented systems that prevent queues, help choose ideal locations for future stores, neural counting of visitors and calculation of sales conversion.
Counting visitors on trading platforms is necessary to determine the share of buyers among the total number of store visitors and really reflects the efficiency of the store.
When analyzing sales, it is important for our customers to understand how many people have made these sales, it is even more important to track the proportion of visitors who have not made any purchases to look for and eliminate the reasons why people go without shopping.
The implemented VERNA neurocounting system provides an opportunity to monitor the number of entrances and exits of visitors, determine peak load periods and conversion of outlets.
By analyzing the statistics of visits, it is possible to plan and evaluate the effectiveness of marketing campaigns to attract customers.
Neural counting of visitors has several significant advantages over a system on sensors with an infrared barrier: significantly more accurate results, opportunities for detailed analysis and understanding of customer behavior.
To avoid direct losses and experiments with customer loyalty, especially during peak hours, smart video surveillance counts the number of people and the duration of their stay in line.
When the pre-set threshold parameters are reached, it immediately signals the store administrator. The administration can quickly attract additional personnel to unload the work of cash registers.
For the convenience of buyers, it is possible to install modules for visual display of the number of people at the ticket offices. Monitors are installed in the checkout area of the store and inform buyers about the length of queues at the cash registers.
Instead of monitors above each cash register, we can use light indicators of three colors: green, yellow and red, which can be seen from afar.
The reports show the systematicity of the problem and allow you to analyze the load on cash registers at different times and days of the week and make reasonable decisions on optimizing the working hours of staff and the opening hours of the outlet.
To prevent break-ins and theft in our customers' outlets, we install and configure a customer face recognition system that automatically detects the incoming buyer and compares it with the database of violators.
The system instantly notifies employees of the control and security service about the appearance of an unwanted visitor in the store and the need to increase attentiveness, since a visitor who was previously noticed in violations entered the store.
Automatic alerts to the security service and administration can come to the monitor, phone or email.
Biometric facial identification ensures minimal error in recognition.
This system does not require combining photos of violators with their personal data and, accordingly, does not violate current laws.
The use of a video analytics system helps our customers reduce the number of security guards at all entrances and exits to the supermarket or store.
Often, when searching for a location for a new store, the question arises of the number of potential customers in the area.
The use of video analytics in this case can be very useful. With a new or already existing camera and special software, we can analyze the movement of pedestrians moving past the location that interests us.
With the help of video analysis, it is possible to determine the density and direction of movement of people at different times of the day and days of the week. Separately, you can count the movement in several directions, zones and lines of intersection. You can also use video analytics to track the flow of cars and public transport in the area. This will help us determine how easily customers will be able to get to the store and find parking.
To detect and prevent the facts of fraud, theft and resolve controversial situations in real time in retail, we implement an intelligent module for automatic control of cash and banking operations.
Above each of the cash desks of the supermarket or outlet we install a video camera. The server of the video surveillance system records information from the video camera directed to the cash node and records transactions from the cash terminal, and the software installed on the server automatically compares any cash transactions with the video signal of the surveillance camera above the cash register, helps to detect and analyze violations.
The module records the number of punched checks, the name and article of the goods in the check, the method of payment for the goods, etc. A security officer or supervisor can receive a video report on any cash transaction. For example, by setting a filter by product name, it can view video recordings of all checks with that product per day.
Reports on checkout downtime, number of cancellations and returns help evaluate KPIs. The administrator and analysts automatically receive the calculated sales conversion.
According to statistics, on average, 70% of incidents are recorded using video recognition, while the work of security guards accounts for only 30%.
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