Huawei H12-521_V1.0 New Braindumps Questions, H12-521_V1.0 Exam Forum

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Huawei H12-521_V1.0 Exam Syllabus Topics:

SectionObjectives
Topic 1: Operations and Maintenance- System Monitoring
- Fault Diagnosis and Troubleshooting
- Performance Optimization
Topic 2: Industry Application Scenarios- Safe City
- Industrial Vision Applications
- Transportation
- Smart Campus
Topic 3: Huawei Intelligent Vision Products- Atlas AI Computing Platform
- Cloud and Platform Services
- Edge Computing Devices
- Intelligent Cameras
Topic 4: Machine Vision Fundamentals- Computer Vision Basics
- Image Processing Fundamentals
- Video Processing Fundamentals
Topic 5: Solution Design and Deployment- Deployment and Configuration
- Solution Architecture Design
- Project Planning
Topic 6: Intelligent Vision Overview- Intelligent Vision Industry Trends
- Huawei Intelligent Vision Solution Architecture
- Core Technologies and Components
Topic 7: AI and Deep Learning Technologies- Deep Learning Concepts
- Model Training and Inference
- Artificial Intelligence Fundamentals

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H12-521_V1.0 Exam Forum | H12-521_V1.0 Free Study Material

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Huawei HCIP-Intelligent Vision V1.0 Sample Questions (Q31-Q36):

NEW QUESTION # 31
During license plate recognition, the binary license plate image is horizontally projected along the Y axis to obtain the longest successive projection segment as the character area, and the successive horizontal black lines around the licence plate are filtered out. This method is called ( ).

Answer: A

Explanation:
The correct answer is C because the described method exactly matches the definition of horizontal projection used in license plate character area extraction. In license plate recognition, projection methods are commonly used to separate valid character regions from noise and borders. The material states that "Horizontal projection: The binary license plate image is horizontally projected along the Y axis to obtain the longest successive projection segment as the character area. Filter out horizontally successive black lines around the license plate." This wording is essentially identical to the question, so the method can be identified directly.
From an image-processing perspective, horizontal projection analyzes the pixel distribution across rows to locate the effective vertical range of the character band. This helps remove irrelevant black border lines above and below the plate characters. By contrast, vertical projection is mainly used later to segment individual characters because spaces naturally exist between them. Binary processing is a preprocessing step, not the named segmentation method here, and direction division is not the correct technical term in this context.
Therefore, the only correct choice is C. Horizontal projection .


NEW QUESTION # 32
Which of the following configurations can solve the problem of live screen flickering or jamming? (Multiple choice)

Answer: B,D


NEW QUESTION # 33
When choosing the installation method of the camera, you can consider from the two dimensions of the installation environment and the camera type.

Answer: B


NEW QUESTION # 34
License plate recognition cameras can be installed on urban trunk roads, highways, and driveways in campuses.

Answer: A

Explanation:
The correct answer is A. TRUE . License plate recognition cameras are suitable anywhere vehicles need to be identified, recorded, or controlled, provided that the road geometry and deployment conditions support proper capture. The material explains that "License plate is recognized when vehicle checkpoints capture passing vehicles and built-in algorithms extract license plate features" and further states that common checkpoints are installed on "sites like highways, toll stations and urban roads" to record passing vehicle information and capture full vehicle images . This directly confirms the suitability of highways and urban roads .
By extension, the same technical principle applies to campus driveways , because they are controlled vehicle entry and exit points where access recording, vehicle identity confirmation, and passage management are important. In practice, campus entrances behave similarly to micro-checkpoint scenarios, where the objective is to recognize plates and support vehicle management. As long as the installation angle, lighting, lane width, and capture distance are appropriate, LPR cameras can be deployed effectively in those locations. Therefore, the statement is consistent with the deployment logic of the material, and the answer is true.


NEW QUESTION # 35
What business attributes does the bayonet camera have? (Multiple choice)

Answer: A,B,C,D


NEW QUESTION # 36
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