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Huawei H12-521_V1.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Video Site Planning and Design | 10% | - Transmission and power supply design - Equipment selection and configuration planning - Site selection and coverage planning |
| Topic 2: Video Site Maintenance and Troubleshooting | 5% | - Common faults and handling - Daily maintenance procedures - Fault location and recovery |
| Topic 3: Principle and Application of Intelligent Video Algorithm | 3% | - Algorithm deployment and application modes - Common intelligent algorithm principles |
| Topic 4: Intelligent Vision System Installation and Configuration | 15% | - Platform hardware and software deployment - System networking and parameter configuration - Service module deployment and activation |
| Topic 5: Intelligent Vision System Maintenance and Troubleshooting | 4% | - Common faults and solutions - System monitoring and management - System backup and recovery |
| Topic 6: Video Site Service Commissioning | 5% | - Image quality debugging - Performance optimization - Service function verification |
| Topic 7: Technical Principle and Application of Video Cloud | 5% | - Video cloud architecture and features - Video cloud service applications - Cloud-edge collaboration technologies |
| Topic 8: Technical Principle and Application of Intelligent Camera | 5% | - Core technologies: SuperColour, T-Shot, high-density capture - Typical application scenarios - Basic principles of intelligent cameras |
| Topic 9: Technical Principle and Application of Video Big Data | 4% | - Video big data processing technologies - Structured data and metadata management - Big data analysis and application scenarios |
| Topic 10: Intelligent Vision System Planning and Design | 15% | - Capacity and performance design - Reliability and security design - System architecture and component planning |
| Topic 11: Intelligent Vision System Service Commissioning | 8% | - Intelligent analysis service commissioning - Basic service commissioning - System linkage and scheduling verification |
| Topic 12: Video Site Installation and Configuration | 18% | - Camera and peripheral installation - Network and parameter configuration - Access and interconnection configuration |
| Topic 13: Video Interconnection Technology Standard and Application | 3% | - Video database technical specifications - Interconnection solutions in intelligent security - Mainstream video interconnection protocols |
Huawei HCIP-Intelligent Vision V1.0 Sample Questions:
Huawei IVS platform can connect to cameras of a vendor only after the required access plug-in is installed on the platform.
- A. TRUE
- B. FALSE
Correct Answer: A 🗳️
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The radar is placed right above the lane, and the detection direction is aligned with the position to be captured in the middle of the lane.
- A. TRUE
- B. FALSE
Correct Answer: B 🗳️
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The system determines whether an object crosses the tripwire based on which of the following criteria?
- A. Whether an object's movement trajectory intersects with the tripwire.
- B. Whether an object is moving.
- C. Whether an object moves fast.
- D. Whether an object crosses the tripwire in the specified direction.
Correct Answer: A 🗳️
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Processors are important to the Intelligent Vision system, and different processors have different functions.
Link the following processor types to the corresponding description.
Correct Answer:

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.
Which of the following is not a Lite Edge configuration scenario?
- A. Storage server
- B. Computer server + Search server
- C. Storage server + Computer server + Search server
- D. Fusion server that integrates storage, compute, and search capabilities
Correct Answer: A 🗳️
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