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Huawei H12-521_V1.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Video Interconnection Technology Standard and Application | 3% | - Video database technical specifications - Mainstream video interconnection protocols - Interconnection solutions in intelligent security |
| Intelligent Vision System Service Commissioning | 8% | - Intelligent analysis service commissioning - System linkage and scheduling verification - Basic service commissioning |
| Video Site Maintenance and Troubleshooting | 5% | - Fault location and recovery - Common faults and handling - Daily maintenance procedures |
| Intelligent Vision System Installation and Configuration | 15% | - System networking and parameter configuration - Platform hardware and software deployment - Service module deployment and activation |
| Technical Principle and Application of Video Big Data | 4% | - Big data analysis and application scenarios - Structured data and metadata management - Video big data processing technologies |
| Intelligent Vision System Planning and Design | 15% | - System architecture and component planning - Capacity and performance design - Reliability and security design |
| Video Site Service Commissioning | 5% | - Service function verification - Image quality debugging - Performance optimization |
| Intelligent Vision System Maintenance and Troubleshooting | 4% | - Common faults and solutions - System backup and recovery - System monitoring and management |
| Video Site Installation and Configuration | 18% | - Camera and peripheral installation - Network and parameter configuration - Access and interconnection configuration |
| Video Site Planning and Design | 10% | - Equipment selection and configuration planning - Transmission and power supply design - Site selection and coverage planning |
| Principle and Application of Intelligent Video Algorithm | 3% | - Algorithm deployment and application modes - Common intelligent algorithm principles |
| Technical Principle and Application of Video Cloud | 5% | - Video cloud architecture and features - Video cloud service applications - Cloud-edge collaboration technologies |
| Technical Principle and Application of Intelligent Camera | 5% | - Basic principles of intelligent cameras - Typical application scenarios - Core technologies: SuperColour, T-Shot, high-density capture |
Huawei HCIP-Intelligent Vision V1.0 Sample Questions:
Link the following features of Huawei intelligent cameras to the corresponding description.
Correct Answer:
Explanation:
* 1 + N # Sends video streams from generic cameras to intelligent cameras and performs real-time intelligent analysis on the video to embed intelligence into generic cameras.
* T-shot engine # Uses framing technology to detect targets and license plates on images at the same time, improving the snapshot accuracy at night.
* SuperColor # Helps capture full-color images in low light conditions.
* Scene adaptation # Automatically identifies various scenes such as backlight, low light, and rainy
/overcast scenes and optimizes images accordingly.
The matching is determined directly from the intelligent camera feature definitions. The 1 + N function is the primary-secondary camera observation capability, where "a single intelligent camera can connect to N generic cameras on a live network, request streams from these cameras, and perform intelligent analysis on the streams" so it matches the description about embedding intelligence into generic cameras.
The T-shot engine corresponds to the snapshot-related description because the material states that "M-Q and X-H series omni-data structuring cameras support T-Shot snapshot engine" and explains that "T-Shot, Huawei's patented exposure technology, enables optimal imaging of targets and vehicles at the same time" . That fits target and license plate capture in the same image.
Scene adaptation matches the description about identifying backlight, low light, and rainy or overcast scenes because the material states that AI chips "identify the weather and illumination conditions at different time points in the observation scenario, and then automatically adjust the image settings" The remaining feature, SuperColor , therefore matches full-color imaging in low-light conditions.
If artifacts or video stuttering occur on live video due to unstable network conditions, you can enable the network adaptation function in the camera web system. After this function is enabled, the camera can adjust the bit rate automatically based on the onsite network status to ensure smooth live video.
Reveal Solution Discussion 0Correct Answer:
network adaptation
Explanation:
The correct answer is network adaptation . This function is used when live video quality is affected by unstable bandwidth, packet loss, or fluctuating network throughput. In that situation, the camera dynamically adjusts the stream bit rate to match current network conditions so that video transmission remains stable and smooth. The key logic in the question is the phrase that the camera can "adjust the bit rate automatically based on the onsite network status, to ensure smooth live video" , which directly corresponds to adaptive network-side stream control rather than image tuning, PTZ control, or exposure optimization.
From a technical perspective, artifacts and stuttering during live video are often caused by transport limitations rather than by optics or encoding settings alone. Huawei's live-view framework depends on continuous stream delivery, decoding, and display on the specified window . If the network becomes unstable, fixed-rate transmission may overload available bandwidth. Enabling network adaptation allows the camera to reduce or optimize the bit rate in real time, which improves continuity and reduces playback interruptions. Therefore, network adaptation is the correct function to enable.
Which of the following is not a Lite Edge configuration scenario?
- A. Storage server
- B. Storage server + Computer server + Search server
- C. Computer server + Search server
- D. Fusion server that integrates storage, compute, and search capabilities
Correct Answer: A 🗳️
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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. Vertical projection
- B. Binary processing
- C. Direction division
- D. Horizontal projection
Correct Answer: D 🗳️
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In site planning principles, a observation circle is to enclose the target area to build a comprehensive and enclosed prevention and control system. For example, observation circles can be built for inter-city boundaries and a city's entrance/exit points.
- A. TRUE
- B. FALSE
Correct Answer: A 🗳️
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