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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Technical Principle and Application of Intelligent Camera | 5% | - Typical application scenarios - Basic principles of intelligent cameras - Core technologies: SuperColour, T-Shot, high-density capture |
| Topic 2: Technical Principle and Application of Video Big Data | 4% | - Structured data and metadata management - Big data analysis and application scenarios - Video big data processing technologies |
| Topic 3: Intelligent Vision System Installation and Configuration | 15% | - Service module deployment and activation - Platform hardware and software deployment - System networking and parameter configuration |
| Topic 4: Intelligent Vision System Planning and Design | 15% | - Capacity and performance design - System architecture and component planning - Reliability and security design |
| Topic 5: Technical Principle and Application of Video Cloud | 5% | - Cloud-edge collaboration technologies - Video cloud architecture and features - Video cloud service applications |
| Topic 6: Intelligent Vision System Maintenance and Troubleshooting | 4% | - Common faults and solutions - System backup and recovery - System monitoring and management |
| Topic 7: Principle and Application of Intelligent Video Algorithm | 3% | - Algorithm deployment and application modes - Common intelligent algorithm principles |
| Topic 8: Video Site Installation and Configuration | 18% | - Network and parameter configuration - Access and interconnection configuration - Camera and peripheral installation |
| Topic 9: Video Site Maintenance and Troubleshooting | 5% | - Fault location and recovery - Common faults and handling - Daily maintenance procedures |
| Topic 10: Video Site Planning and Design | 10% | - Equipment selection and configuration planning - Transmission and power supply design - Site selection and coverage planning |
| Topic 11: Video Site Service Commissioning | 5% | - Performance optimization - Image quality debugging - Service function verification |
| Topic 12: Video Interconnection Technology Standard and Application | 3% | - Interconnection solutions in intelligent security - Mainstream video interconnection protocols - Video database technical specifications |
| Topic 13: Intelligent Vision System Service Commissioning | 8% | - System linkage and scheduling verification - Intelligent analysis service commissioning - Basic service commissioning |
1. Which of the following best describes the primary-secondary camera observation function also called 1 + N?
A) One generic camera connects to multiple intelligent cameras for storage expansion.
B) One intelligent camera can only analyze its own local video stream.
C) One intelligent camera connects to multiple generic cameras and performs intelligent analysis on their streams.
D) Multiple intelligent cameras connect to one PTZ camera for panoramic tracking.
2. Which of the following measures cannot be used to protect camera cables against water?
A) Wrap waterproof tape around the power cable.
B) Make a drip loop for cables.
C) Wrap three layers of waterproof tape around cable connectors.
D) Cut off unnecessary pigtail cables.
3. Which of the following issues need to be focused on during solar PV module check?
A) Check whether the solar PV module is damaged.
B) Check whether the solar PV module support is corroded or rusty.
C) Check whether there are covers such as oil stains, dust, or snow on the surface of the solar PV module.
D) Check whether the solar PV module support is stable.
4. License plate recognition cameras can be installed on urban trunk roads, highways, and driveways in campuses.
A) TRUE
B) FALSE
5. To enable an IVS3800 to provide the intelligent target or vehicle analysis function, which of the following hardware must be configured?
A) SAS disk
B) T4 GPU
C) AI accelerator card
D) NVMe card
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: A,B,C,D | Question # 4 Answer: A | Question # 5 Answer: C |
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