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| Section | Weight | Objectives |
|---|
| Intelligent Vision System Maintenance and Troubleshooting | 4% | - Common faults and solutions - System backup and recovery - System monitoring and management
|
| Principle and Application of Intelligent Video Algorithm | 3% | - Algorithm deployment and application modes - Common intelligent algorithm principles
|
| Intelligent Vision System Service Commissioning | 8% | - Intelligent analysis service commissioning - System linkage and scheduling verification - Basic service commissioning
|
| Video Site Planning and Design | 10% | - Site selection and coverage planning - Equipment selection and configuration planning - Transmission and power supply design
|
| Video Site Service Commissioning | 5% | - Service function verification - Image quality debugging - Performance optimization
|
| Video Interconnection Technology Standard and Application | 3% | - Mainstream video interconnection protocols - Video database technical specifications - Interconnection solutions in intelligent security
|
| Video Site Installation and Configuration | 18% | - Access and interconnection configuration - Network and parameter configuration - Camera and peripheral installation
|
| Technical Principle and Application of Intelligent Camera | 5% | - Core technologies: SuperColour, T-Shot, high-density capture - Typical application scenarios - Basic principles of intelligent cameras
|
| Video Site Maintenance and Troubleshooting | 5% | - Common faults and handling - Fault location and recovery - Daily maintenance procedures
|
| Technical Principle and Application of Video Cloud | 5% | - Cloud-edge collaboration technologies - Video cloud architecture and features - Video cloud service applications
|
| Technical Principle and Application of Video Big Data | 4% | - Video big data processing technologies - Big data analysis and application scenarios - Structured data and metadata management
|
| Intelligent Vision System Planning and Design | 15% | - System architecture and component planning - Capacity and performance design - Reliability and security design
|
| Intelligent Vision System Installation and Configuration | 15% | - System networking and parameter configuration - Service module deployment and activation - Platform hardware and software deployment
|
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Huawei HCIP-Intelligent Vision V1.0 Sample Questions (Q32-Q37):
NEW QUESTION # 32
When configuring the front-end camera to connect to the platform, different access methods are used in different scenarios. Regarding the choice of camera access method, which of the following statements is correct? (Multiple choice)
- A. When a small number of cameras are added and they are to be connected to the IVS platform, they can be added in a single way
- B. ADVR, DVS or NVR only supports analog camera access, so you need to add analog cameras to the platform by adding DVR/DVS/NWR
- C. When users have planned specific IP addresses for a large number of cameras, and want to connect them to the platform, they can add them in batches automatically
- D. When the user only knows the IP address segment, and there are a large number of online cameras that need to be connected to the IS platform, they can be quickly added by manual batch addition
Answer: A,D
NEW QUESTION # 33
Which of the following descriptions about the road situation security scene and the camera selection is wrong?
- A. For the entrance and exit scenarios of important buildings / places, the deployment principle is that one simple machine covers the entrance and exit, one or two tube machines cover the intersection, and one dome camera is used for dynamic blind compensation and long-distance security.
- B. For the two-way primary and secondary arterial road scenario, the deployment principle is that one simple machine covers one direction and two simple machines are required, and the dome machine is optional
- C. For the crossroad scene, the deployment principle is that one tube machine covers one direction, four simple machines are needed, divided into two pole stations, and two balls are used for dynamic blind compensation and long-distance high security.
- D. directed to T do scene-junction, a cylinder machine deployment principal cover in one direction, need four simple machines, a ball dome and remote security dynamic fill blind
Answer: D
NEW QUESTION # 34
Which of the following is not a prerequisite for high-density target capture?
- A. Excellent target detection algorithm
- B. High-frequency exposure
- C. Chips with high computing power
- D. Large memory
Answer: B
Explanation:
High-density target capture is a specialized capability designed for scenarios with high pedestrian traffic, such as urban squares or station exits, where crowd density can exceed 100 person-times in a single frame. This feature ensures accurate trajectory generation and optimal snapshots without missed or false captures in challenging environments. The technical architecture of this feature is built upon three fundamental pillars, as the system requires that high-density target capture enabled by: object detection algorithm and target trajectory generation algorithm + chip computing power + large-capacity memory .
Hardware requirements are particularly stringent, necessitating a professional AI chip, such as a 4 TOPS NPU, to manage the processing load of tracking up to 200 targets per frame. Large- capacity memory, typically 4 GB of DDR, is also vital to ensure an ultra-low snapshot repetition rate of less than 8%. While high-frequency exposure-specifically T-Shot double-exposure technology-is an advanced imaging technique used to capture clear snapshots of vehicles and targets simultaneously at night, it is a distinct imaging enhancement rather than a prerequisite for the high-density capture logic itself. High-frequency exposure focuses on resolving illumination and motion blur, whereas high-density capture focuses on the computational capacity to detect and track a massive volume of objects.
NEW QUESTION # 35
When detecting a moving target with a relatively static video background, the optical flow method can be used to analyze the image.
Answer: B
NEW QUESTION # 36
Before configuring camera access on the smart vision platform, you need to check whether the platform has a front-end access plug-in that supports the corresponding camera model. The reason is to ensure that the platform can smoothly access the camera of this model.
Answer: A
NEW QUESTION # 37
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