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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Video Site Maintenance and Troubleshooting | 5% | - Common faults and handling - Fault location and recovery - Daily maintenance procedures |
| Topic 2: Video Site Installation and Configuration | 18% | - Access and interconnection configuration - Camera and peripheral installation - Network and parameter configuration |
| Topic 3: Technical Principle and Application of Intelligent Camera | 5% | - Core technologies: SuperColour, T-Shot, high-density capture - Typical application scenarios - Basic principles of intelligent cameras |
| Topic 4: Technical Principle and Application of Video Cloud | 5% | - Cloud-edge collaboration technologies - Video cloud architecture and features - Video cloud service applications |
| Topic 5: Intelligent Vision System Planning and Design | 15% | - Reliability and security design - System architecture and component planning - Capacity and performance design |
| Topic 6: Intelligent Vision System Installation and Configuration | 15% | - Platform hardware and software deployment - System networking and parameter configuration - Service module deployment and activation |
| Topic 7: Principle and Application of Intelligent Video Algorithm | 3% | - Common intelligent algorithm principles - Algorithm deployment and application modes |
| Topic 8: Video Site Planning and Design | 10% | - Transmission and power supply design - Site selection and coverage planning - Equipment selection and configuration planning |
| Topic 9: Video Interconnection Technology Standard and Application | 3% | - Mainstream video interconnection protocols - Interconnection solutions in intelligent security - Video database technical specifications |
| Topic 10: Technical Principle and Application of Video Big Data | 4% | - Big data analysis and application scenarios - Video big data processing technologies - Structured data and metadata management |
| Topic 11: Intelligent Vision System Maintenance and Troubleshooting | 4% | - System backup and recovery - System monitoring and management - Common faults and solutions |
| Topic 12: Intelligent Vision System Service Commissioning | 8% | - Intelligent analysis service commissioning - System linkage and scheduling verification - Basic service commissioning |
| Topic 13: Video Site Service Commissioning | 5% | - Service function verification - Performance optimization - Image quality debugging |
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NEW QUESTION # 22
Huawei HoloSens IVS3800 networking mode includes ().
Answer: A,B,C,D
NEW QUESTION # 23
For the power supply of video sites in the main urban area, which of the following power supply methods is generally considered?
Answer: D
NEW QUESTION # 24
Which of the following are cloud-edge synergy scenarios of Huawei JVS platforms?
Answer: A,C,D
Explanation:
The correct answers are A, C, and D because cloud-edge synergy is defined as collaboration between a central platform and lightweight edges or other upper- and lower-level cloud domains. The material states that
"Cloud-edge synergy: collaboration between the central platform and lightweight edges or other upper- and lower-level domains deployed on clouds" while separately identifying "Multi-camera Collaboration:
Multiple cameras collaborate to identify same image" . This distinction is decisive: option B belongs to multi-camera collaboration, not cloud-edge synergy.
In practical JVS deployment, cloud-edge synergy includes centralized task orchestration, algorithm lifecycle management, and cross-domain resource coordination. That is why delivering vehicle alert tasks downward to lower-level platforms fits the model, and why centrally loading, upgrading, or replacing algorithms on upper- and lower-level platforms also fits. Likewise, when the upper-level platform applies for edge-side resources to perform intelligent analysis on video or images, it is using distributed resource collaboration, which is a classic cloud-edge function. Option B is excluded because it describes camera-to-camera cooperative recognition rather than platform-to-edge coordination. Therefore, the valid cloud-edge synergy scenarios are A, C, and D .
NEW QUESTION # 25
If you need to uniformly manage the access platform and analysis platform on the HoLoSens iClient client, you need to configure the access platform correlation analysis platform in the CSPOM portal where the access platform is located.
Answer: A
NEW QUESTION # 26
Which of the following factors will affect the number of single-count servers? (Multiple Choice)
Answer: A,D
NEW QUESTION # 27
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