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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Technical Principle and Application of Intelligent Camera | 5% | - Key technologies: Supercolour, T-shot, high-density capture - Application scenarios of intelligent cameras - Basic principles of intelligent cameras |
| Topic 2: Video Site Planning and Design | 10% | - Site selection and coverage design - Power supply and transmission planning - Equipment selection and configuration |
| Topic 3: Intelligent Vision System Planning and Design | 15% | - System architecture and solution design - Platform and service planning - Network and storage design |
| Topic 4: Video Site Service Commissioning | 5% | - Link and performance commissioning - Video service activation and verification |
| Topic 5: Principle and Application of Intelligent Video Algorithm | 3% | - Common intelligent analysis algorithms - Algorithm application and deployment |
| Topic 6: Video Site Maintenance and Troubleshooting | 5% | - Common faults diagnosis and resolution - Daily maintenance methods and procedures |
| Topic 7: Technical Principle and Application of Video Cloud | 5% | - Video cloud architecture and features - Cloud-based video service deployment |
| Topic 8: Technical Principle and Application of Video Big Data | 4% | - Data storage and management technologies - Video big data processing and analysis |
| Topic 9: Intelligent Vision System Maintenance and Troubleshooting | 7% | - Platform and service fault handling - System monitoring and routine maintenance |
| Topic 10: Intelligent Vision System Installation and Configuration | 12% | - System parameter configuration - Platform software deployment - Access and management configuration |
| Topic 11: Video Interconnection Technology Standard and Application | 3% | - Mainstream interconnection protocols and standards - Interconnection solutions and implementation |
| Topic 12: Video Site Installation and Configuration | 18% | - Basic service configuration - Transmission and storage equipment deployment - Camera installation and debugging |
| Topic 13: Intelligent Vision System Service Commissioning | 8% | - Core service enabling and testing - System integration and interconnection |
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質問 # 19
Which of the following best describes the video synopsis function?
正解：D
解説：
The correct answer is B because video synopsis is designed to compress long-duration video into a shorter, information-dense presentation by extracting moving objects and reorganizing their activity over time. The material explains the workflow clearly: "Moving object detection involves algorithms such as background modeling, scene segmentation, and moving object extraction" , then "Object trajectory extraction involves object tracking algorithms such as TLD and KCF" , and finally "Generate a compact video.
That is, fuse the target trajectory set and background image into frames, and combine frames into video" This directly matches option B .
The same section also demonstrates the practical benefit by stating that "The video synopsis feature compresses the original 24-hour-long video into a 3.5-hour video" From an intelligent vision operations perspective, this greatly improves investigation efficiency because users can review suspicious activity faster without watching the full original recording. Option A describes local zoom behavior, not synopsis. Option C is incorrect because synopsis does not turn video into still images.
Option D is the opposite of synopsis, since synopsis reduces manual review effort rather than depending on it.
質問 # 20
Camera log types include (). (Multiple Choice)
正解：A、B、D
質問 # 21
Regarding the wiring method, which of the following descriptions is correct? (Multiple choice)
正解：C、D
質問 # 22
The PowerCube500 alarm indicator flashes yellow slowly, indicating:
正解：C
質問 # 23
When multiple lens devices are installed in a certain area (exceeding the maximum number of windows supported by the client), and these monitoring points need to be monitored in real time, which of the following functions can be implemented?
正解：C
質問 # 24
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