Application of trusted computing technology in the field of video surveillance

In recent years, with the continuous advancement of technology and the continuous expansion of application scenarios, trusted computing technology has been widely used in many fields. Among them, the video surveillance field, as one of the most basic security fields, has a particularly urgent need for trusted computing technology. This article will describe the current application status and development trends of trusted computing technology in the field of video surveillance.

1. Current status of application of trusted computing technology in the field of video surveillance

According to statistics, there are currently hundreds of millions of video surveillance equipment in my country, most of which are traditional analog surveillance equipment. Achieve comprehensive upgrades in digitalization, intelligence, and visualization. Therefore, in such a huge video surveillance network, how to ensure the security, integrity, and reliability of video data, and how to effectively utilize massive data for intelligent analysis, have become inevitable challenges. In this context, trusted computing technology emerged as the times require.

Trusted computing technology is a security technology based on hardware or software. It can provide a more secure and reliable computing environment by verifying the calculation process and calculation results. In the field of video surveillance, trusted computing technology is mainly used in two aspects:

1. Video data encryption and storage security

The encryption and storage security of video data are the key to trusted computing technology in video The most basic application in the monitoring field. By using trusted computing technology, video data can be encrypted to ensure that only authorized people can access the video data, thereby preventing data leakage and attacks. At the same time, during the storage process of video data, trusted computing technology can realize safe storage and backup of data, improving data integrity and reliability.

2. Intelligent analysis of video data

The application of trusted computing technology in intelligent analysis of video data is mainly reflected in areas such as face recognition and license plate recognition. By using trusted computing technology, the efficiency of intelligent analysis of video data can be improved, allowing the video surveillance system to more accurately identify and judge specific targets, thus greatly improving the efficiency of security management.

2. The development trend of trusted computing technology in the field of video surveillance

With the continuous advancement of technology and the continuous expansion of application scenarios, the future development of trusted computing technology in the field of video surveillance is mainly The following trends will be presented:

1. The scope of application will be further expanded

With the continuous advancement of artificial intelligence technology, video surveillance systems will no longer just record and playback, but It realizes automatic identification, intelligent analysis, automatic alarm and other functions. In this context, the application scope of trusted computing technology will be further expanded to better meet the needs of video surveillance system security and intelligence.

2. The application of deep learning technology will be further strengthened

Deep learning technology has become one of the mainstream technologies in the field of artificial intelligence and has also been widely used in the field of video surveillance. By combining deep learning technology and trusted computing technology, video data can be more accurately identified and analyzed, resulting in more accurate and intelligent monitoring.

3. Performance and security will be balanced

In the application of trusted computing technology, performance and security have always been two inevitable issues. In the future, with the continuous advancement of technology, trusted computing technology will maintain a balance between performance and security, thereby achieving better monitoring effects and a better user experience.

In short, trusted computing technology has broad prospects for application in the field of video surveillance. In the future, with the continuous advancement of technology and the continuous expansion of application scenarios, the application of trusted computing technology in the field of video surveillance will become more extensive, more mature, and more complete.

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