Design of Intelligent Network Video Surveillance Scheme for Small and Medium-sized Stores
chrispeng [ad_1]
Various small and medium-sized shops, convenience stores, etc. have become the most frequent places for people’s daily consumption. However, for store managers, with the development of the scale of store operations and the increase in the number of stores, more time and energy need to be invested in managing the daily operations of the store, such as the work status of the clerk, passenger flow, safety status, etc. Wait. Helplessly, there are so many stores, and the managers are lacking in skills, and it is difficult to take care of all the stores.
In addition, while shops provide people with the randomness and convenience of shopping, the hidden dangers and security loopholes in the operation process also often bring greater losses to the operation, such as theft of items, the safety of shop assistants, and the interference of criminals. .
First, it is indispensable for store managers to understand the daily operating conditions of the store every day. When store managers are out of the house, on a business trip or not in the store, they want to know the status of the store and what methods can be used to solve them.
Second, how can we easily and effectively count the daily passenger flow of each store, and understand the shopping process of customers, so that we can analyze and adjust the business methods and methods of the store.
Various small and medium-sized shops, convenience stores, etc. have become the most frequent places for people’s daily consumption. However, for store managers, with the development of the scale of store operations and the increase in the number of stores, more time and energy need to be invested in managing the daily operations of the store, such as the work status of the clerk, passenger flow, safety status, etc. Wait. Helplessly, there are so many stores, and the managers are lacking in skills, and it is difficult to take care of all the stores.
Perimeter intrusion detection is based on the principle of intelligent video analysis of moving targets. Within the scope of the scene monitored by the camera, the warning area is set according to the monitoring needs and purposes. The system can automatically detect the moving targets and their behaviors that have intruded into the warning area. When the preset alert conditions are met, an alarm message is automatically generated, and the target entering the alert area is marked with an alert frame, and its movement trajectory is also marked. The alarm information will be able to link with the platform, that is, when an alarm occurs, it will immediately alarm, control the alarm at the time, and avoid greater losses.
The video analysis alarm function does not need to add equipment, the network video server contains this function, see Figure 2.
The network video surveillance system provides customers with a variety of alarm methods, which can notify store managers or relevant security personnel of the alarm through telephone, text messages, etc. The system platform can even be docked with the 110 platform to achieve network linkage alarms.
Its advantages are shown in:
(1) Based on intelligent alarm analysis, compared with traditional infrared induction alarm, its alarm is more accurate and reliable, which can effectively reduce the false alarm rate.
(2) After the alarm, store managers or related personnel can first understand the scene through network video (mobile phone video), and after confirming the alarm, proceed with the alarm processing (alarm), which improves the efficiency of police handling.
3. Passenger flow statistics function
The passenger flow statistics function is a highlight of this program. If store video surveillance can provide security services for the store, then the passenger flow statistics function provides relevant reference data for the daily operation of the store.
Passenger flow is very important to a store and is inseparable from the sales of the store. Therefore, daily passenger flow is the data that store managers are very concerned about. Therefore, according to the actual needs of the store, the store passenger flow statistics function has been added to the monitoring system, so that the system can not only solve the safety management problems of the store, but also provide the store with passenger flow statistics to help the store management grasp the operating status.
Passenger flow statistics is to collect video signals through cameras, and analyze and count the number of people by software. It is based on the shape of the human head and shoulders in the video captured by the camera as the analysis target, and counts the number of people passing through the area and direction settings. The advanced algorithm greatly improves the accuracy of the statistics, which can fully meet the application requirements.
The passenger flow statistics function is the use of computer vision technology to analyze, process, and apply the cage-surface. The complete pedestrian count mainly includes three steps as illustrated: background learning, moving target extraction and tracking, target recognition and behavior analysis .
The intelligent video passenger flow statistics system mainly has the following characteristics:
· Count the number of people through video, with high real-time and accuracy;
·Excavate and analyze the basic data of passenger flow, and provide various analysis data and reports;
·Real-time display of the data curve of passenger flow changes and images of related areas through the computer network;
·It can perform statistical analysis on historical data by year, month and day, provide reference for management and decision-makers, and view the video of the number of people at any time;
·The system can adopt the network structure mode, and managers and decision makers can remotely observe the data and images of the number of people in different geographical branches through the Internet;
Compared with the traditional store monitoring system, this intelligent network video surveillance system has a very big advantage. The system is more flexible and convenient to use, allowing store managers to understand the situation of the store anytime and anywhere. The newly-added intelligent perimeter intrusion and passenger flow statistics functions have made the originally “sluggish” monitoring system “smart” and turned the monitoring system into a system that can help store management.
[ad_2]
