GB/T 42196-2022 in English
VALIDTechnical requirements for video and image metadata analysis of internet of things of public security
- Issued on:2022-12-30
- Implemented on:2023-07-01
- File Format:PDF
- Delivery:Via email within 1~3 business days
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《GB/T 42196-2022公安物联网视频图像元数据分析技术要求》由312（公安部）归口，主管部门为公安部。
Introduction
1. Background and significance of standard formulation
GB/T42196-2022 "Technical Requirements for Analysis of Video Image Metadata in Public Security Internet of Things" is to standardize the analysis technology of video image metadata in public security Internet of Things and improve the efficiency and accuracy of data application. This standard is proposed and managed by the Ministry of Public Security, combining the practical experience of many scientific research institutions and enterprises, and has important industry guidance significance.
2. Comparison table of standard frameworks
| Standard dimensions | GB/T42196-2022 | GA/T1399.2 | GB/T36478.4 |
|---|---|---|---|
| Scope of application | Public security IoT video image metadata analysis | Video image content analysis and description | IoT information exchange and sharing data interface |
| Core requirements | Metadata analysis model and functional requirements | Video image content analysis technical requirements | Data exchange specifications |
| Implementation points | Data input, metadata management, and inference rule design | Content analysis and description technology | Interface compatibility requirements |
3. Standard implementation recommendations
3.1 System selection recommendations
- Give priority to acquisition equipment that complies with the GA/T1400.4 interface specification
- It is recommended to use functional modules that support distributed processing and task scheduling
- It is recommended to configure a visual inference rule design tool to improve user experience
3.2 Data management strategy
- Establish a mapping relationship library between metadata entities and instances
- Develop a unified log record format and storage solution
- Regularly back up inference result data to ensure data security
3.3 Inference Rule Design Guide
- Flexibly configure inference rules based on business needs
- It is recommended to use flowcharts to assist in describing complex inference logic
- Regularly evaluate and optimize inference rules to improve matching accuracy
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