The video surveillance industry is developing in the direction of high-definition and intelligence. According to the information of the leading industry research network, the combination of video surveillance chip and artificial intelligence can efficiently process a large amount of unstructured data and realize functions such as image detection and face recognition. According to Omdia, the global security camera market is moving towards higher resolution, with more than 70% of network cameras expected to have a resolution above 4 million pixels by 2027. At the same time, the shipment penetration rate of AI cameras in China is expected to reach 72% by 2025.
High-definition is one of the important development directions of the video surveillance industry. With the advancement of image sensors, compression technology and data transmission technology, monitoring systems have gradually developed from standard definition and high definition to ultra-high definition (4K or even 8K) level. Clearer image quality: High-definition improves the resolution of the monitoring screen, making the image clearer and more delicate, and the details are richer. Especially in personnel recognition, license plate recognition and long-distance surveillance, the role of high-definition cameras is particularly prominent.
A wider range of application scenarios: high-definition surveillance not only performs well in the traditional security field, but also has been widely used in traffic management, urban monitoring, smart communities and other scenarios. For example, in the construction of safe cities, high-resolution cameras can capture the details of complex scenes in the city and help public safety management.
Intelligence is another important development direction of the video surveillance industry. With the maturity of artificial intelligence (AI), big data, deep learning and other technologies, monitoring systems have gradually shifted from traditional “passive recording” to “active analysis”. AI-enabled intelligent analysis: The intelligent monitoring system can automatically identify features such as faces, license plates, and abnormal behaviors, and conduct real-time analysis and early warning. For example, facial recognition technology can play a role in areas such as security screening, visitor management, and more; Behavior analysis technology can identify abnormal behaviors such as loitering, gathering, fighting, etc., and enable rapid response. Enhancement of scene adaptability: Intelligent technology enables the monitoring system to automatically adjust parameters according to scene changes, improving the adaptability in various complex environments. In scenarios where the light changes greatly and the environment interferes more, intelligent monitoring can still provide stable and accurate images and analysis results. Data-driven decision support: Through the analysis of massive video data, the intelligent monitoring system can help users mine the potential value of information. For example, in the retail industry, intelligent surveillance is not only used to prevent theft, but can also be used to analyze customer behavior and optimize merchandising and marketing strategies.
The analysis of Huajing Intelligence Network pointed out that the surveillance camera industry is showing a trend of intelligence and efficiency, including high-definition image quality, intelligent storage system and image analysis. The report of the smart city network also emphasizes the importance of high-definition and intelligence, and it is expected that China’s intelligent video surveillance market will reach 16.7 billion US dollars by 2024, with an average annual growth rate of 9.5%. The Tencent Cloud Developer Community article further looks forward to the future development of video surveillance technology, including high-definition, intelligent, multi-dimensional integration, hyper-integration, and low cost. In addition, the security monitoring industry is also undergoing changes, intelligence and automation are becoming the core trend, and the integration of artificial intelligence technology has significantly improved the effect of security prevention. Based on the above information, it can be seen that the future development direction of the video surveillance industry will focus more on improving image clarity, intelligence, data storage and analysis capabilities, as well as the comprehensiveness and automation of the system. With the advancement of technology, especially the application of artificial intelligence and big data technology, video surveillance systems will become more efficient and accurate, providing a stronger guarantee for social security.
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