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Huawei H12-521_V1.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Technical Principle and Application of Video Cloud | 5% | - Video cloud architecture and features - Cloud-edge collaboration technologies - Video cloud service applications |
| Topic 2: Technical Principle and Application of Intelligent Camera | 5% | - Basic principles of intelligent cameras - Core technologies: SuperColour, T-Shot, high-density capture - Typical application scenarios |
| Topic 3: Intelligent Vision System Maintenance and Troubleshooting | 4% | - System monitoring and management - Common faults and solutions - System backup and recovery |
| Topic 4: Intelligent Vision System Planning and Design | 15% | - System architecture and component planning - Capacity and performance design - Reliability and security design |
| Topic 5: Video Interconnection Technology Standard and Application | 3% | - Video database technical specifications - Interconnection solutions in intelligent security - Mainstream video interconnection protocols |
| Topic 6: Video Site Service Commissioning | 5% | - Performance optimization - Service function verification - Image quality debugging |
| Topic 7: Intelligent Vision System Installation and Configuration | 15% | - System networking and parameter configuration - Service module deployment and activation - Platform hardware and software deployment |
| Topic 8: Video Site Maintenance and Troubleshooting | 5% | - Fault location and recovery - Common faults and handling - Daily maintenance procedures |
| Topic 9: Technical Principle and Application of Video Big Data | 4% | - Video big data processing technologies - Structured data and metadata management - Big data analysis and application scenarios |
| Topic 10: Video Site Installation and Configuration | 18% | - Access and interconnection configuration - Network and parameter configuration - Camera and peripheral installation |
| Topic 11: Principle and Application of Intelligent Video Algorithm | 3% | - Algorithm deployment and application modes - Common intelligent algorithm principles |
| Topic 12: Video Site Planning and Design | 10% | - Equipment selection and configuration planning - Transmission and power supply design - Site selection and coverage planning |
| Topic 13: Intelligent Vision System Service Commissioning | 8% | - System linkage and scheduling verification - Basic service commissioning - Intelligent analysis service commissioning |
Huawei HCIP-Intelligent Vision V1.0 Sample Questions:
The foundation construction of a video site consists of the following nine parts: positioning and routing, foundation pit excavation, construction material entry, foundation pit bottoming, ground part connecting, template fixing, anchor bolt cage and PE pipe embedding, concrete casting, construction site maintenance, template removal, and muck backfilling.
- A. TRUE
- B. FALSE
Correct Answer: B 🗳️
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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.
Which of the following features can provide perfect exposure for an object in backlight scenarios?
- A. Highlight compensation HLC
- B. White balance
- C. High resolution
- D. Backlight compensation BLC
Correct Answer: D 🗳️
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Which of the following best describes the primary-secondary camera observation function also called 1 + N?
- A. One intelligent camera can only analyze its own local video stream.
- B. One intelligent camera connects to multiple generic cameras and performs intelligent analysis on their streams.
- C. One generic camera connects to multiple intelligent cameras for storage expansion.
- D. Multiple intelligent cameras connect to one PTZ camera for panoramic tracking.
Correct Answer: B 🗳️
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The IVS3800 and CloudIVS 3000 can be deployed in the same cluster, but the CloudIVS 3000 can serve only as a service node.
- A. TRUE
- B. FALSE
Correct Answer: A 🗳️
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