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Huawei H12-521_V1.0-ENU Exam Syllabus Topics:

SectionWeightObjectives
Intelligent Vision System Maintenance and Troubleshooting4%- Common faults and solutions
- System backup and recovery
- System monitoring and management
Principle and Application of Intelligent Video Algorithm3%- Algorithm deployment and application modes
- Common intelligent algorithm principles
Intelligent Vision System Service Commissioning8%- Intelligent analysis service commissioning
- System linkage and scheduling verification
- Basic service commissioning
Video Site Planning and Design10%- Site selection and coverage planning
- Equipment selection and configuration planning
- Transmission and power supply design
Video Site Service Commissioning5%- Service function verification
- Image quality debugging
- Performance optimization
Video Interconnection Technology Standard and Application3%- Mainstream video interconnection protocols
- Video database technical specifications
- Interconnection solutions in intelligent security
Video Site Installation and Configuration18%- Access and interconnection configuration
- Network and parameter configuration
- Camera and peripheral installation
Technical Principle and Application of Intelligent Camera5%- Core technologies: SuperColour, T-Shot, high-density capture
- Typical application scenarios
- Basic principles of intelligent cameras
Video Site Maintenance and Troubleshooting5%- Common faults and handling
- Fault location and recovery
- Daily maintenance procedures
Technical Principle and Application of Video Cloud5%- Cloud-edge collaboration technologies
- Video cloud architecture and features
- Video cloud service applications
Technical Principle and Application of Video Big Data4%- Video big data processing technologies
- Big data analysis and application scenarios
- Structured data and metadata management
Intelligent Vision System Planning and Design15%- System architecture and component planning
- Capacity and performance design
- Reliability and security design
Intelligent Vision System Installation and Configuration15%- System networking and parameter configuration
- Service module deployment and activation
- Platform hardware and software deployment

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Huawei HCIP-Intelligent Vision V1.0 Sample Questions (Q32-Q37):

NEW QUESTION # 32
When configuring the front-end camera to connect to the platform, different access methods are used in different scenarios. Regarding the choice of camera access method, which of the following statements is correct? (Multiple choice)

Answer: A,D


NEW QUESTION # 33
Which of the following descriptions about the road situation security scene and the camera selection is wrong?

Answer: D


NEW QUESTION # 34
Which of the following is not a prerequisite for high-density target capture?

Answer: B

Explanation:
High-density target capture is a specialized capability designed for scenarios with high pedestrian traffic, such as urban squares or station exits, where crowd density can exceed 100 person-times in a single frame. This feature ensures accurate trajectory generation and optimal snapshots without missed or false captures in challenging environments. The technical architecture of this feature is built upon three fundamental pillars, as the system requires that high-density target capture enabled by: object detection algorithm and target trajectory generation algorithm + chip computing power + large-capacity memory .
Hardware requirements are particularly stringent, necessitating a professional AI chip, such as a 4 TOPS NPU, to manage the processing load of tracking up to 200 targets per frame. Large- capacity memory, typically 4 GB of DDR, is also vital to ensure an ultra-low snapshot repetition rate of less than 8%. While high-frequency exposure-specifically T-Shot double-exposure technology-is an advanced imaging technique used to capture clear snapshots of vehicles and targets simultaneously at night, it is a distinct imaging enhancement rather than a prerequisite for the high-density capture logic itself. High-frequency exposure focuses on resolving illumination and motion blur, whereas high-density capture focuses on the computational capacity to detect and track a massive volume of objects.


NEW QUESTION # 35
When detecting a moving target with a relatively static video background, the optical flow method can be used to analyze the image.

Answer: B


NEW QUESTION # 36
Before configuring camera access on the smart vision platform, you need to check whether the platform has a front-end access plug-in that supports the corresponding camera model. The reason is to ensure that the platform can smoothly access the camera of this model.

Answer: A


NEW QUESTION # 37
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