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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Intelligent Vision System Service Commissioning | 8% | - System integration and interconnection - Core service enabling and testing |
| Topic 2: Intelligent Vision System Maintenance and Troubleshooting | 7% | - System monitoring and routine maintenance - Platform and service fault handling |
| Topic 3: Technical Principle and Application of Video Cloud | 5% | - Cloud-based video service deployment - Video cloud architecture and features |
| Topic 4: Intelligent Vision System Planning and Design | 15% | - Platform and service planning - System architecture and solution design - Network and storage design |
| Topic 5: Principle and Application of Intelligent Video Algorithm | 3% | - Common intelligent analysis algorithms - Algorithm application and deployment |
| Topic 6: Technical Principle and Application of Intelligent Camera | 5% | - Basic principles of intelligent cameras - Application scenarios of intelligent cameras - Key technologies: Supercolour, T-shot, high-density capture |
| Topic 7: Intelligent Vision System Installation and Configuration | 12% | - Platform software deployment - System parameter configuration - Access and management configuration |
| Topic 8: Video Site Planning and Design | 10% | - Site selection and coverage design - Equipment selection and configuration - Power supply and transmission planning |
| Topic 9: Video Site Service Commissioning | 5% | - Video service activation and verification - Link and performance commissioning |
| Topic 10: Video Site Installation and Configuration | 18% | - Basic service configuration - Transmission and storage equipment deployment - Camera installation and debugging |
| Topic 11: Video Interconnection Technology Standard and Application | 3% | - Interconnection solutions and implementation - Mainstream interconnection protocols and standards |
| Topic 12: Video Site Maintenance and Troubleshooting | 5% | - Daily maintenance methods and procedures - Common faults diagnosis and resolution |
| Topic 13: Technical Principle and Application of Video Big Data | 4% | - Data storage and management technologies - Video big data processing and analysis |
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NEW QUESTION # 39
Which of the following descriptions about the view library system interface is wrong?
Answer: A
NEW QUESTION # 40
When installing the VA- type intelligent algorithm plug- in on the intelligent vision platform, which type of algorithm needs to be configured with additional license channels to ensure that the algorithm can be used normally?
Answer: C
NEW QUESTION # 41
Which of the following applications does not belong to the scope of target recognition?
Answer: A
NEW QUESTION # 42
The video cloud storage system also adopts Erasure Code to ensure data consistency and ensure the safety and reliability of data in massive data storage scenarios.
While writing, by the client slice (N) and transcoding (M), co-generating N + M pieces of data, what is the maximum value of M in them?
Answer: A
NEW QUESTION # 43
The volume of video network sharing services will affect the number of hard drives, and thus the number of single servers.
Answer: B
NEW QUESTION # 44
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