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Internet of things security, as the name suggests, Internet of things security is to combine the functions and characteristics of Internet of things products and security products to achieve the role of security protection. That is, the application of Internet of Things technology to realize the application of security.
On the other hand, based on the needs of the development of the Internet of Things, the application of security products and technologies in the realization of the Internet of Things is an extension of the security application field. The essence and most important thing is the intelligentization of security products.
In the security industry, the application of video surveillance occupies the vast majority of the market. Therefore, the first solution to the intelligence of security products is the intelligence of video surveillance technology. Through intelligent video analysis technology, some key information worthy of attention can be separated from the video. In this way, a video capture device with intelligent video analysis technology becomes an intelligent sensor that collects key information and becomes the front-end core of IoT applications. As a result, the applications brought about are no longer just video surveillance applications, but a series of new applications centered on video surveillance applications.
This article will analyze the application of IoT sensing technology based on intelligent video analysis technology in retail business.
Application background
The retail business industry is a very extensive industry, mainly including department stores, supermarkets, chain stores, street shops and other commercial forms. The current IT and intelligent applications in the retail business industry are mainly concentrated on POS systems, and other aspects are in strong demand, but there are relatively few applications realized on a large scale, and the application potential is very huge.
In the retail business industry, the main issues that need to be resolved include the following:
1. Improve the security level. Nowadays, many street shops and independent shops use hard disk video recorders for local video surveillance, and lack the ability to proactively alarm and store safety evidence; this is the most basic and rigid demand.
2. Improve employee management efficiency. For shops, especially the attendance, access control and authorization management of employees in chain stores, there is a lack of excellent management methods.
3. Strengthen customer care and enhance customer experience. For membership and VIP customer management, it still stays at a relatively low level.
4. Analyze operating conditions and improve operating performance: The quantitative analysis and performance improvement suggestions for the operating conditions of stores and chain stores have not been well resolved; this part is the most valuable and most direct demand for customers.
In view of the above aspects that need to be solved, the IoT application system based on intelligent video analysis can provide a one-stop solution for the retail business industry, and finally achieve the effect of improving the performance of the retail store through a full range of intelligent improvement methods. Assist users to achieve higher value manifestation.
Security
According to Maslow’s demand pyramid theory, security requirements are the lowest level of requirements other than physiological requirements; for business, security requirements are also the most basic and rigid requirements. However, in the current business situation, it seems that most of the security guarantee technical means are basically limited to video recording systems based on hard disk recorders, and the increased human security in department stores and supermarkets.
Obviously, the commonly used security technology methods do not meet the needs of the market and the development of technology: Evidence preservation is local, and the security level is too low; lack of active detection means, basically reduced to a tool for post-check verification, especially unattended at night Shop. In view of the above problems, a complete set of intelligent safety monitoring and management system can be used to complete the system upgrade and transformation.
Intelligent monitoring system architecture diagram
As shown in the figure above, it mainly solves several problems:
1) Local active detection
●Infrasound detection, suitable for the detection of breakthroughs in confined spaces, has the advantages of high accuracy, low false alarm rate, no directionality, and no dead ends;
●Infrared detection, supplement of infrasound detection;
●Intelligent video intrusion detection, through the technology of intelligent video intrusion analysis, to detect whether there is intrusion behavior in the environment.
Through the cooperation of the above three authentications, the false positives of intrusion detection can be reduced to a very, very low level.
2) Active video push
When the front end confirms that there is an intrusion, the smart DVS will actively report to the FSV platform, and the platform will actively link the PC and mobile client to remind users to pay attention to the video status of the intrusion site as soon as possible.
3) Platform video recording, cloud storage to ensure the preservation of evidence
Store video recordings and photos for a period of time before and after the alarm to the FSV cloud platform to maintain higher evidence preservation capabilities.
4) Local sound and light alarm
Staff management
Staff management is a basic part of modern business management. Modern business, especially the employee management in the chain retail industry, has always been difficult to have a good management model to support it. Generally, it is through decentralized management authority, through fingerprint attendance, clocking, attendance clock and other methods to achieve local extensive management. Finish. There are many problems involved in such a model. Typical ones include:
●Employee attendance, access control and authorization management are mainly formulated, executed and supervised by the supervisors of each branch or each district, and there is no centralized management method;
●Illegal operations such as employee attendance clocking in and shifting privately are emerging one after another;
Through the face recognition technology based on machine vision and graphic analysis, it can provide a good support solution for centralized employee management: the front face recognition device is used as an identity collection device (perception), and it can connect all users through wireless/wired network (connection). The identification information is centralized to the company headquarters for employee attendance, access control, and authorization management (application) to achieve high-efficiency and low-cost centralized employee management.
The employee management using face recognition has the following typical advantages:
●Human face is unique, which is unmatched by fingerprints and smart cards;
●The face is not easy to counterfeit, and the cost of punching in on behalf of the card is high;
●Face recognition is non-repudiation, and every recognition has a photo saved;
●Non-contact, safe and fast.
Face recognition equipment
Schematic diagram of face recognition process
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