Free Huawei H12-521_V1.0-ENU Exam Dumps Questions & Answers

When configuring vehicle lists, if you want certain vehicles to pass by without triggering alarms, you can add these vehicles to the ( ).

• A.  blocklist
• B.  temporary list
• C.  redlist
• D.  trustlist

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

Huawei integrated video site solution provides power supply, energy storage, and PV modules for video sites, and applies to multiple power supply scenarios such as mains-only, solar-only, and solar-grid hybrid power supply scenarios.

• A.  FALSE
• B.  TRUE

Which of the following statements about T-Shot is correct?

• A.  It is a video compression technology used to reduce storage usage.
• B.  It is a protocol used for camera-to-platform interconnection.
• C.  It is a storage mechanism used for structured data indexing.
• D.  It is Huawei's patented exposure technology that enables optimal imaging of targets and vehicles at the same time.

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.