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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Technical Principle and Application of Video Big Data | 4% | - Video big data processing and analysis - Data storage and management technologies |
| Topic 2: Technical Principle and Application of Video Cloud | 5% | - Cloud-based video service deployment - Video cloud architecture and features |
| Topic 3: Intelligent Vision System Service Commissioning | 8% | - Core service enabling and testing - System integration and interconnection |
| Topic 4: Intelligent Vision System Maintenance and Troubleshooting | 7% | - Platform and service fault handling - System monitoring and routine maintenance |
| 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% | - Application scenarios of intelligent cameras - Basic principles of intelligent cameras - Key technologies: Supercolour, T-shot, high-density capture |
| Topic 7: Intelligent Vision System Planning and Design | 15% | - System architecture and solution design - Network and storage design - Platform and service planning |
| Topic 8: Video Site Installation and Configuration | 18% | - Transmission and storage equipment deployment - Camera installation and debugging - Basic service configuration |
| Topic 9: Video Site Maintenance and Troubleshooting | 5% | - Daily maintenance methods and procedures - Common faults diagnosis and resolution |
| Topic 10: Video Site Service Commissioning | 5% | - Video service activation and verification - Link and performance commissioning |
| Topic 11: Intelligent Vision System Installation and Configuration | 12% | - Access and management configuration - Platform software deployment - System parameter configuration |
| Topic 12: Video Site Planning and Design | 10% | - Equipment selection and configuration - Site selection and coverage design - Power supply and transmission planning |
| Topic 13: Video Interconnection Technology Standard and Application | 3% | - Mainstream interconnection protocols and standards - Interconnection solutions and implementation |
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NEW QUESTION # 57
In view of the characteristics of deep learning, the NPU chip adopts professional matrix calculation and vector calculation units, and manages and controls through the CPU core.
Answer: A
NEW QUESTION # 58
Which of the following functions are implemented based on the target intelligent analysis technology?
Answer: A,B,C,D
NEW QUESTION # 59
Regarding the central platform equipment, which of the following description is wrong? (Multiple Choice)
Answer: B,C
NEW QUESTION # 60
Before logging into the CSP OM Portal, which of the following operations need to be completed? (Multiple choice)
Answer: A,B,C
NEW QUESTION # 61
During live video viewing, you should avoid superimposing the video pane playing live video with the window or dialog box of another program. Otherwise, artifacts or video stuttering may occur.
Answer: B
Explanation:
During the commissioning and operation of video surveillance clients, such as the iClient, maintaining optimal playback performance is vital for accurate observation. A common technical recommendation is to avoid superimposing the video pane playing live video with the window or dialog box of another program . This is because the video decoding and rendering process on a PC involves high-frequency data transfer between the CPU/GPU and the screen buffer. When another application's window is placed over the active video pane, the computer's graphics subsystem must constantly recalculate which pixels to display, often leading to artifacts or video stuttering .
This phenomenon is especially prevalent when viewing high-resolution streams (such as 4K or 1080p) or when the client is handling multiple concurrent video windows. Overlapping windows can disrupt the hardware acceleration pathways, forcing the system to rely on software rendering, which significantly increases latency. To ensure a smooth "UHD video viewing" experience and to maintain the integrity of the visual data-which is necessary for identifying targets or verifying alarms-users should keep the video interface clear of obstructions. This best practice ensures that the frames are rendered sequentially and clearly, preventing the loss of critical detail during real-time monitoring.
NEW QUESTION # 62
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