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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Intelligent Vision System Planning and Design | 15% | - Capacity and performance design - System architecture and component planning - Reliability and security design |
| Topic 2: Video Site Planning and Design | 10% | - Site selection and coverage planning - Transmission and power supply design - Equipment selection and configuration planning |
| Topic 3: Video Interconnection Technology Standard and Application | 3% | - Mainstream video interconnection protocols - Interconnection solutions in intelligent security - Video database technical specifications |
| Topic 4: 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 5: Intelligent Vision System Service Commissioning | 8% | - Intelligent analysis service commissioning - Basic service commissioning - System linkage and scheduling verification |
| 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: Video Site Maintenance and Troubleshooting | 5% | - Daily maintenance procedures - Common faults and handling - Fault location and recovery |
| Topic 8: Principle and Application of Intelligent Video Algorithm | 3% | - Algorithm deployment and application modes - Common intelligent algorithm principles |
| Topic 9: Video Site Installation and Configuration | 18% | - Camera and peripheral installation - Access and interconnection configuration - Network and parameter configuration |
| Topic 10: Video Site Service Commissioning | 5% | - Performance optimization - Image quality debugging - Service function verification |
| Topic 11: Intelligent Vision System Maintenance and Troubleshooting | 4% | - System monitoring and management - System backup and recovery - Common faults and solutions |
| Topic 12: 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 13: Technical Principle and Application of Video Cloud | 5% | - Video cloud service applications - Cloud-edge collaboration technologies - Video cloud architecture and features |
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NEW QUESTION # 22
Which of the following statements about IVS1800 is wrong?
Answer: A
NEW QUESTION # 23
Which of the following systems is used to connect the data cascade interface of the visual library?
Answer: C
NEW QUESTION # 24
Based on which of the following functions of the intelligent vision platform, can real-time capture and statistics of pedestrians, non-motorized vehicles and motor vehicles at a certain intersection?
Answer: C
NEW QUESTION # 25
The subsystems of the data center infrastructure include (). (Multiple Choice)
Answer: A,B,C,D
NEW QUESTION # 26
The os log of the intelligent vision platform means that when the service fails, the user can locate the problem by collecting the service operation log.
Answer: B
NEW QUESTION # 27
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