AI Burglar Alarm Cameras vs Regular Security Cameras:

Shop Selection Guide

In the digital age, security technology is changing rapidly, and shops are facing more choices in securing their property and customers. Among them, AI anti-theft alarm cameras and ordinary security cameras have become the two mainstream options for shop security systems. In this article, we will make an in-depth comparison between AI anti-theft alarm cameras and ordinary security cameras from multiple dimensions, such as functional features, application scenarios, user experience, cost-effectiveness, etc., to provide a comprehensive reference for shops when choosing.

I. Comparison of Functional Features

1. Intelligent identification and alarm

AI anti-theft alarm camera: integrated with advanced artificial intelligence technology, it has powerful image recognition and intelligent analysis capabilities. It not only records HD video in real time, but also automatically identifies abnormal behaviours, such as strangers breaking in, items being stolen, etc., and immediately notifies shop management via SMS, APP push, etc. This instant feedback mechanism greatly reduces response time and improves security efficiency.

Ordinary Security Camera: It mainly relies on traditional optical and electronic sensing technology and has relatively single function. It can only record video and images and store the video in the local hard disc or memory card. Users need to manually check the monitoring screen to find out the abnormal situation, and cannot realise real-time intelligent feedback.

2. HD image quality and night vision capability

AI Burglar Alarm Camera: usually equipped with high-resolution cameras that support HD or even 4K resolution, providing clear and detailed picture quality. At the same time, many AI cameras also have infrared night vision, which can maintain good monitoring effect at night or in low-light environments.

Ordinary security cameras: the picture quality is often unsatisfactory, blurry, noisy and does not support HD zoom. Although some cameras are equipped with infrared night vision, the night vision effect is poor, and it is difficult to meet the demand of all-weather surveillance in shops.

II.Application Scenario Analysis

1. Internal shop monitoring

For internal shop monitoring, AI anti-theft alarm camera has significant advantages. It is able to automatically identify customer misbehaviour, such as theft and vandalism of goods, and notify the management in time to deal with it. At the same time, the HD image quality and night vision capability ensure the clarity and integrity of the surveillance images, providing strong evidence for subsequent investigations.
On the other hand, ordinary security cameras can only passively record images and cannot actively identify abnormal behaviour. Managers need to spend a lot of time reviewing the surveillance video to find problems, which is inefficient and easy to miss key information.

2. Store surroundings monitoring

The environment around the shop is complex and changeable, and there are many security risks.AI anti-theft alarm camera can monitor the changes of the surrounding environment in real time, such as suspicious people wandering, abnormal parking of vehicles, etc., and send out alarms in time. This is important for the prevention of robbery, theft and other crimes.
In contrast, the performance of ordinary security cameras in monitoring the surrounding environment is inferior. It cannot automatically identify abnormal situations, and can only rely on the experience of management personnel to judge, and is prone to omission or false alarms.

III. User experience and convenience

1. Remote monitoring and control

AI anti-theft alarm camera supports remote monitoring and control function. Users can view the real-time screen, playback video, receive alarms, etc. anytime and anywhere just through mobile phone APP. This convenient experience allows shop managers to keep track of the shop's security situation and respond to emergencies in a timely manner.
On the other hand, ordinary security cameras usually require a dedicated monitoring system to view the monitoring screen and operate the equipment. The interface and functions are relatively complex and not intuitive enough to use. In addition, video data stored locally also increases the difficulty of management and viewing.

2. Intelligent notification and custom settings

AI anti-theft alarm camera also has intelligent notification and custom settings. Users can set up specific types of object recognition or behaviour detection rules according to their own needs, and receive customised alert messages when abnormalities are detected. This personalised setting makes the shop security system more in line with the actual needs and improves the security effect.
In contrast, ordinary security cameras lack these intelligent features. Users are unable to make personalised settings and adjustments according to their own needs, and the experience is relatively single and limited.

iv. cost-benefit considerations

1. Initial investment costs

In terms of initial investment cost, the price of AI burglar alarm cameras is usually higher than ordinary security cameras. This is mainly due to the fact that AI cameras integrate more advanced technologies and functional modules, such as face recognition and behaviour detection. However, this initial investment cost is worthwhile considering the significant improvement in security effect and usage experience of AI cameras.

2. Long-term operating costs

In terms of long-term operating costs, AI burglar alarm cameras are more cost-effective. As it has intelligent identification and alarm functions, it can greatly reduce the number of false alarms and missed alarms, thus reducing the workload and cost of management personnel. At the same time, the high-definition image quality and night vision capability also ensures the clarity and integrity of the surveillance picture, which provides strong support for the follow-up investigation.
In contrast, ordinary security cameras require managers to spend a lot of time reviewing surveillance footage to find problems, which is inefficient and costly. In addition, due to the relatively limited picture quality and functionality, its effectiveness in practical applications is also greatly reduced.

V. Comparison between AI security monitoring system and traditional security system and actual cases

Function comparison:
AI security monitoring system: with real-time analysis, intelligent identification, instant alarm and other functions, it can accurately identify abnormal behaviours.
Traditional security system: the main function is to record video and images, with limited picture quality and functions, and only passive recording.
Technology Comparison:
AI security monitoring system: integrates artificial intelligence, network connection, cloud computing and other technologies to achieve high-definition resolution and intelligent analysis.
Traditional security systems: mainly use basic optical and electronic sensing technologies.

Actual case:

In May 2024, the AI camera at the entrance of a supermarket in Juno County, Heze City, captured suspicious persons twice and called the police in time. The receiving centre reviewed the video remotely and quickly shouted to drive away the suspicious person, effectively preventing the theft case.
AI security monitoring systems are superior to traditional security systems in terms of function and technology, providing more comprehensive, real-time, and accurate security. At the same time, actual cases have proven the effectiveness and practicality of AI security monitoring systems. 

VI. Actual case:

In May 2024, the AI camera at the entrance of a supermarket in Juno County, Heze City, captured suspicious persons twice and promptly called the police. After remotely viewing the video, the receiving centre quickly shouted to drive away the suspicious person, effectively preventing the theft from occurring.
Artificial intelligence security monitoring systems are superior to traditional security systems in terms of function and technology, providing more comprehensive, real-time, and accurate security. At the same time, actual cases have proven the effectiveness and practicality of AI security monitoring systems.