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Huawei H12-521_V1.0 (HCIP-Intelligent Vision V1.0) Exam is a valuable certification for professionals who are looking to enhance their knowledge and skills in the field of intelligent vision technology. It is a challenging test that requires a deep understanding of the subject matter, but passing the exam can help professionals advance their careers and demonstrate their expertise to employers and clients.
Huawei H12-521_V1.0 (HCIP-Intelligent Vision V1.0) Certification Exam is a comprehensive and globally recognized certification exam that tests the candidatesโ knowledge and skills in intelligent vision solutions. H12-521_V1.0 Exam is suitable for professionals who work with Huawei technologies or want to build their careers in the intelligent vision solutions field. HCIP-Intelligent Vision V1.0 certification is highly valued by employers and validates the candidatesโ expertise in intelligent vision solutions.
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Huawei H12-521_V1.0-ENU (HCIP-Intelligent Vision V1.0) Certification Exam consists of multiple-choice questions and is designed to test an individual's knowledge and skills in various areas of intelligent vision. H12-521_V1.0 Exam covers a range of topics, including image recognition, object detection, video analysis, and machine learning.
NEW QUESTION # 18
In the central cloud platform solution, the data disk on Ocean Stor9000 is used to store structured and semi-structured data.
Answer: B
NEW QUESTION # 19
Which of the following are image retrieval services? (Multiple choice)
Answer: A,C
NEW QUESTION # 20
For areas where wired networks are inconvenient to deploy such as mountainous areas, which of the following methods can be used for network access to video sites?
Answer: C
NEW QUESTION # 21
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: D
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 # 22
If each Huawei HoloSens IVS1800 is connected to 64 cameras, how many IVS1800 can one iclient support at most?
Answer: A
NEW QUESTION # 23
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