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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Video Site Installation and Configuration | 18% | - Basic service configuration - Transmission and storage equipment deployment - Camera installation and debugging |
| Topic 2: Intelligent Vision System Maintenance and Troubleshooting | 7% | - Platform and service fault handling - System monitoring and routine maintenance |
| Topic 3: Video Site Service Commissioning | 5% | - Video service activation and verification - Link and performance commissioning |
| Topic 4: Video Site Maintenance and Troubleshooting | 5% | - Daily maintenance methods and procedures - Common faults diagnosis and resolution |
| Topic 5: Video Interconnection Technology Standard and Application | 3% | - Mainstream interconnection protocols and standards - Interconnection solutions and implementation |
| Topic 6: Technical Principle and Application of Video Big Data | 4% | - Data storage and management technologies - Video big data processing and analysis |
| Topic 7: Intelligent Vision System Installation and Configuration | 12% | - Access and management configuration - System parameter configuration - Platform software deployment |
| Topic 8: Technical Principle and Application of Intelligent Camera | 5% | - Application scenarios of intelligent cameras - Key technologies: Supercolour, T-shot, high-density capture - Basic principles of intelligent cameras |
| Topic 9: Technical Principle and Application of Video Cloud | 5% | - Video cloud architecture and features - Cloud-based video service deployment |
| Topic 10: Intelligent Vision System Service Commissioning | 8% | - Core service enabling and testing - System integration and interconnection |
| Topic 11: Intelligent Vision System Planning and Design | 15% | - Platform and service planning - Network and storage design - System architecture and solution design |
| Topic 12: Video Site Planning and Design | 10% | - Equipment selection and configuration - Power supply and transmission planning - Site selection and coverage design |
| Topic 13: Principle and Application of Intelligent Video Algorithm | 3% | - Common intelligent analysis algorithms - Algorithm application and deployment |
>> Standard H12-521_V1.0 Answers <<
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NEW QUESTION # 10
The ONVIF protocol describes the network video model, interface, data type, and data interaction. The goal is to solve the interoperability between IP network-based security products (cameras, VMS, etc.).
Answer: B
NEW QUESTION # 11
Which of the following descriptions of the design concept of Huawei HoloSens SDC os is correct? (Multiple choice)
Answer: A,B,D
NEW QUESTION # 12
Processors are important to the Intelligent Vision system, and different processors have different functions.
Link the following processor types to the corresponding description.
Answer:
Explanation:
Explanation:
* CPU # Central processing unit
* GPU # Graphics processing unit
* FPGA # Field-programmable gate array
* NPU # Neural processing unit
The correct matching is based on the standard definitions of the four processor types used in intelligent vision architecture. A CPU is the central processing unit , which handles general-purpose control, logic execution, and system coordination. A GPU is the graphics processing unit , originally designed for graphics rendering but now widely used for parallel computing tasks. An FPGA is a field-programmable gate array , which can be reconfigured for specific hardware logic functions and is valuable in acceleration and low-latency processing scenarios. An NPU is a neural processing unit , specialized for AI inference and deep-learning operations.
In intelligent vision systems, these processors serve different but complementary roles. The CPU manages operating control and service orchestration. The GPU accelerates highly parallel workloads. The FPGA supports custom hardware logic and fast pipeline processing. The NPU is especially important for AI-based vision services because it is optimized for neural-network computation, target recognition, and inference efficiency. This processor division is fundamental in intelligent camera, edge, and cloud architecture, where workload specialization improves overall system performance and intelligence capability.
NEW QUESTION # 13
In the process of video summarization, it is necessary to splice the target movement set and the background image into frames, and then combine the frames into a video.
Answer: B
NEW QUESTION # 14
When multiple lens devices are installed in a certain area (exceeding the maximum number of windows supported by the client), and these monitoring points need to be monitored in real time, which of the following functions can be implemented?
Answer: B
NEW QUESTION # 15
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