Exam Vce H12-521_V1.0-ENU Free | Free H12-521_V1.0-ENU Exam Questions

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

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

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Huawei HCIP-Intelligent Vision V1.0 Sample Questions (Q26-Q31):

NEW QUESTION # 26
The volume of video image retrieval business will affect the feature value and structured data volume, thereby affecting the number of single-check servers.

A. False
B. True

Answer: B

NEW QUESTION # 27
In video analysis, if you want to obtain the trajectory of the target object, you can track the moving object and record the center of mass of the moving object to connect all the center of mass to form the trajectory of the moving object.

A. False
B. True

Answer: B

NEW QUESTION # 28
Which of the following conditions will cause the function module fault indicator to be red and always on?

A. There is a problem with the power input of the functional module
B. Internal failure of function module
C. The function module has an alarm
D. There is a problem with the communication cable of the functional module

Answer: B

NEW QUESTION # 29
The goal of video networking construction is to cover the entire domain, be available all the time, share the entire network, and be controllable throughout the entire process.

A. False
B. True

Answer: B

NEW QUESTION # 30
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 ( ).

A. Horizontal projection
B. Direction division
C. Binary processing
D. Vertical projection

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 # 31
......

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