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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Technical Principle and Application of Video Cloud | 5% | - Video cloud architecture and features - Video cloud service applications - Cloud-edge collaboration technologies |
| Topic 2: Video Site Installation and Configuration | 18% | - Camera and peripheral installation - Network and parameter configuration - Access and interconnection configuration |
| Topic 3: Video Site Maintenance and Troubleshooting | 5% | - Fault location and recovery - Daily maintenance procedures - Common faults and handling |
| Topic 4: Principle and Application of Intelligent Video Algorithm | 3% | - Algorithm deployment and application modes - Common intelligent algorithm principles |
| Topic 5: 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 |
| Topic 6: Intelligent Vision System Planning and Design | 15% | - Reliability and security design - System architecture and component planning - Capacity and performance design |
| Topic 7: Intelligent Vision System Service Commissioning | 8% | - Basic service commissioning - System linkage and scheduling verification - Intelligent analysis service commissioning |
| Topic 8: Video Site Planning and Design | 10% | - Site selection and coverage planning - Equipment selection and configuration planning - Transmission and power supply design |
| Topic 9: Technical Principle and Application of Intelligent Camera | 5% | - Typical application scenarios - Core technologies: SuperColour, T-Shot, high-density capture - Basic principles of intelligent cameras |
| Topic 10: Intelligent Vision System Maintenance and Troubleshooting | 4% | - System backup and recovery - System monitoring and management - Common faults and solutions |
| Topic 11: Video Site Service Commissioning | 5% | - Service function verification - Performance optimization - Image quality debugging |
| Topic 12: Intelligent Vision System Installation and Configuration | 15% | - System networking and parameter configuration - Platform hardware and software deployment - Service module deployment and activation |
| Topic 13: Video Interconnection Technology Standard and Application | 3% | - Mainstream video interconnection protocols - Video database technical specifications - Interconnection solutions in intelligent security |
>> Certification H12-521_V1.0 Test Questions <<
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NEW QUESTION # 37
The face recognition scene has requirements for pedestrian speed, but no requirements for pedestrian walking direction.
Answer: A
NEW QUESTION # 38
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?
Answer: B
NEW QUESTION # 39
Which of the following best describes the video synopsis function?
Answer: D
Explanation:
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.
NEW QUESTION # 40
If the engineer forgets to enable the " Bayonet Data Storage " and " Metadata Subscription " functions on the HoloSens iClient when configuring the front-end intelligent functions of a certain vehicle recognition camera.
So what are the consequences?
Answer: C
NEW QUESTION # 41
A video site in a park in an inland urban area requires equipment selection, and wired network resources have been covered. Now it is necessary to select the equipment of the video site. Which of the following selections is most suitable for?
Answer: A
NEW QUESTION # 42
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