The New Trend In The Development Of Security And Surveillance Technology
The New Trend In The Development Of Security And Surveillance Technology
“The history of security monitoring can be traced back thousands of years ago. Ancient city walls and soldier patrols carried the task of city protection. In the early 20th century, technologies such as closed-circuit television and radio transmissions were used to enable remote monitoring. After entering the 21st century, the support of innovative technologies such as intelligent video analysis, cloud storage, and wireless communication has brought security monitoring into a new era. In recent years, “AI+security” has become a hot topic in the industry. The empowerment of artificial intelligence and the promotion of new smart city policies have allowed the security monitoring industry to continue to flourish.”
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This article will discuss with you the new technological trends in the field of security monitoring, and how to achieve more accurate security monitoring in the era of “AI+security”.
The new trend of security monitoring technology has entered the era of intelligent monitoring
When it comes to security monitoring, it generally refers to the video surveillance system. However, with the increasing demand for intelligent and efficient security monitoring, security monitoring technology is also constantly innovating and developing. Access control systems, anti-theft alarms, fire alarms, etc. can all be integrated with video surveillance to form an integrated security management solution.
We are currently in the process of moving from the era of network monitoring to the era of intelligent monitoring. Overall, the entire security monitoring application presents several major trends of digitization, networking, mobility, and intelligence.
1. Digital Trends
The first is the trend of digitalization of security systems. Traditional CCTV cameras use analog signal output, but now most of them are replaced by digital cameras. Digital cameras can provide clear, stable and reliable digital video signals. Digital video signals can be stored, transmitted and shared more efficiently, and can be more easily integrated with other types of data. The digital monitoring system can realize automatic monitoring and early warning while providing real-time data and reports to help users understand the security status more comprehensively.
2. Networking trend
Networking refers to the connection and communication of security equipment and systems through the network to realize remote monitoring and management. With the development of the Internet, the interconnection between security equipment and systems has become easier, which has significantly improved the coverage and monitoring capabilities of the security system. The technical support of the networking trend mainly comes from IP network technology and cloud computing.
IP network technology is the basic network technology in security monitoring, which can realize the transmission and processing of digital video, audio, and other data on the network. High bandwidth, low delay, and high reliability are the goals of its continuous evolution. Through cloud computing technology, data and applications can be stored on cloud servers to realize centralized management of data such as video surveillance and alarm information. In-depth analysis of the collected large-scale data can be further fed back to the monitoring system, thereby promoting the iterative upgrade of the overall security system.
3. Mobile trends
Mobility refers to the mobilization of security monitoring equipment and the remote operation and management of security systems through mobile devices. With the development of mobile applications and 5G communication technology, users can monitor, configure and manage through mobile devices anytime and anywhere, obtain security information, and respond. At present, users who use mobile devices for remote monitoring have accounted for a large proportion of the security monitoring market and continue to rise.
According to the “Global Smartphone Video Surveillance Market, – Growth, Trends, and Forecasts (2020 – 2025)” report released by Mordor Intelligence, the global smartphone surveillance market exceeded US$4.3 billion in 2019 and is expected to reach US$9.1 billion by 2025.
4. Intelligent trend
Intelligence is an extremely important technological development trend in security monitoring in recent years, especially with the implementation of artificial intelligence technology, “AI + security” will bring about tremendous changes in security monitoring applications. By integrating a variety of sensors on the terminal side, an intelligent perception of the surrounding environment can be realized, including sound, image, temperature, and humidity, etc. This data can be used to identify abnormal behavior such as smoke and fire, and provide early warning signs.
With the help of computer vision and deep learning technology, the video can be intelligently analyzed and identified. Based on face recognition technology, it can automatically capture the characteristics of people in the monitoring screen, and even accurately identify different individuals, and compare it with the information in the database, so as to realize functions such as automatic access control management and personnel entry and exit records.
AI+ security is promoting the continuous expansion of the intelligent security monitoring market, which is expected to reach a market size of more than 50 billion US dollars by 2025. Based on this hot market prospect, different types of players have also entered the game to seize the market, such as artificial intelligence companies, traditional security companies, smart hardware manufacturers, and security cloud service providers are launching their own complete solutions.
But no matter what kind of AI + security solution, it needs to realize the intelligent underlying hardware foundation and the sensor upgrade from the perception level. End-side sensor fusion and perception capability redundancy are the first steps toward intelligent security monitoring.
Sensing entrance of intelligent security monitoring – radar sensor
The camera is the main sensor of security monitoring, and video surveillance currently accounts for more than 90% of the entire security market. However, the camera only provides two-dimensional image recording, and the cost of real-time active monitoring is relatively high. Under certain conditions, the perception of the camera alone is not comprehensive. The integration of lidar and millimeter-wave radar with the camera can achieve more accurate intelligent perception. Multi-sensor integration is the key hardware foundation for end-side security equipment to realize intelligent functions.
Compared with the camera, which uses real-time video analysis to achieve active monitoring, the accuracy of real-time monitoring through radar is higher, and the required computing power and power consumption are also lower. position, motion state and path. Moreover, the radar captures the depth information of the 3D scene, which is more comprehensive than the two-dimensional information collected by the camera.
On the other hand, at night or in low-visibility conditions, radars do not suffer from light problems and can still achieve accurate detection of objects of interest. In addition, in some indoor scenes that require privacy protection, the monitoring information of the radar does not involve images and videos, but only 3D modeling information, so it can better ensure the security of users’ private information.
Based on the above advantages, in many current security applications, more radar sensors will be used to realize all-weather real-time anomaly detection, and to collect clues for judging and determining abnormal situations, while cameras are more used for video recording of clues And real-time image transmission, the linkage between radar and camera has become an ideal solution for intelligent security applications.
In a large-scale security system, the control center can analyze the distance, speed and direction of a suspicious person through radar, and control the motorized zoom lens of the camera according to the distance information, so as to clearly capture the area where the person was found.
Radar sensors are divided into two types: laser radar (LiDAR) and millimeter-wave radar (RADAR). Lidar emits laser pulses, while millimeter-wave radar emits electromagnetic waves. Lidar has higher accuracy, while millimeter-wave radar has a wider detection range; the module cost of lidar is usually much more expensive than millimeter-wave radar; lidar is usually used for environment perception that requires higher precision and more detailed modeling tasks, such as self-driving cars or robotic navigation systems, mmWave radar is more suitable for applications such as security monitoring and object detection that are sensitive to cost and power consumption.
High-precision 60GHz radar for a wide range of security applications
To achieve higher accuracy in security monitoring, radars are required to have higher accuracy. In order to pursue higher precision, the radar frequency band needs to be increased. At present, 60GHz radar is a very popular choice in the market, providing better penetration and anti-jamming capabilities. Among the products, the XENSIV™ 60GHz radar MMIC provided by Infineon stands out due to its high integration, low power consumption and high-cost performance.
XENSIV™ 60GHz radar MMIC integrates antenna-in-package (AIP) and built-in motion and motion direction detectors. Its FMCW working mode has an ultra-wide bandwidth of 5.5GHz and can detect micro-movements in the millimeter range, including presence detection, tracking, life Advanced radar features including sensing and gesture control.
This product series offers two different models, one is the BGT60TR13C MMIC integrated with a Tx-Three Receive antenna, and the other is the BGT60LTR11AIP MMIC integrated with a Tx-Tx antenna. Among them, BGT60TR13C can realize the power consumption lower than 5mW, and the power consumption of BGT60LTR11AIP can be as low as 2mW.
In addition to performance cost and power consumption advantages, development optimization is a major feature of this product. The built-in antenna-in-package (AIP) eliminates the complexity of user-side antenna design, and the integrated feature set allows the MMIC to perform velocity, angle, horizontal and vertical measurements. Based on the algorithms already provided by Infineon, MMIC can realize applications such as human presence detection, tracking and segmentation, and entry counting without violating privacy.
Infineon also offers a reference design for an integrated MMIC in an IP camera. As shown in the figure below, the MMIC is used as an additional perception module to allow the camera system to wake up when motion is detected, thereby reducing operating costs and required bandwidth.
In addition, it is worth mentioning that the BGT60LTR11AIP is an extremely small MMIC product. This small radar can even be used as an alternative upgrade solution for traditional passive infrared sensors (PIR) for IoT battery-powered applications. The specific part number of this product at Mouser Electronics is “BGT60LTR11AIPE6327XUMA2”.
Radar sensors are indispensable in the era of “AI+security”
Sensing technology gives security equipment the ability to sense, and AI technology gives security equipment the ability to recognize. The combination of perception and cognitive capabilities, single-device multi-functional integration and multi-device integration on the same platform are the future development trends of security intelligence.
In the early days of AI security, image and video processing was mainly supported by cloud computing power, and front-end security equipment was only used for data collection. However, as video data collection moves towards 4K/8K, the surge in the amount of raw data puts pressure on transmission and computing, and it is inevitable that computing power will move forward to the end side. Deploying the trained model in the end-side AI acceleration unit can improve the reasoning capability of the edge end and realize low-latency, high-energy-efficiency local AI reasoning operations.
For example, an NPU is integrated in the end-side video processing link to implement functions such as AI noise reduction, HDR, and low-light color enhancement; a dedicated acceleration unit is integrated in the sound processing link to implement functions such as AI noise reduction, semantic recognition, and intelligent wake-up. The popularization of AI reasoning applications on the device side and edge side will accelerate the intelligent development of security monitoring.
To achieve “AI+security”, the improvement of computing power and models is important, but the improvement of the perception ability of the device side is also critical. Without accurate perception ability, there will be no source of accurate reasoning data, and the results of AI reasoning will be greatly affected. Influence. Multi-sensor fusion and perception redundancy can further improve the security of security monitoring. With better performance, power consumption, cost and safety performance, millimeter wave radar has become an important sensor choice in intelligent security monitoring equipment.
With the reduction of the cost of 60GHz millimeter-wave radar, the application proportion of radar sensors in security monitoring equipment will further increase, promoting security monitoring to accelerate into the “AI + security” era.
Written by Anky Technology Co., Ltd.
Anky Technology Co., LTD is a professional manufacturer of 4g wifi ubox app solar security cameras, tuya smart app 4g wifi solar security cameras, 30X optical zoom 4G WiFi solar security cameras, Hikvision-special solar power supply systems, etc.
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