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| Section | Weight | Objectives |
|---|---|---|
| Intelligent Vision System Maintenance and Troubleshooting | 7% | - System monitoring and routine maintenance - Platform and service fault handling |
| Video Site Planning and Design | 10% | - Equipment selection and configuration - Power supply and transmission planning - Site selection and coverage design |
| Video Site Installation and Configuration | 18% | - Camera installation and debugging - Transmission and storage equipment deployment - Basic service configuration |
| Video Site Maintenance and Troubleshooting | 5% | - Daily maintenance methods and procedures - Common faults diagnosis and resolution |
| Intelligent Vision System Planning and Design | 15% | - Network and storage design - Platform and service planning - System architecture and solution design |
| Technical Principle and Application of Video Big Data | 4% | - Data storage and management technologies - Video big data processing and analysis |
| Video Site Service Commissioning | 5% | - Video service activation and verification - Link and performance commissioning |
| Video Interconnection Technology Standard and Application | 3% | - Interconnection solutions and implementation - Mainstream interconnection protocols and standards |
| Principle and Application of Intelligent Video Algorithm | 3% | - Common intelligent analysis algorithms - Algorithm application and deployment |
| Intelligent Vision System Installation and Configuration | 12% | - System parameter configuration - Platform software deployment - Access and management configuration |
| Intelligent Vision System Service Commissioning | 8% | - Core service enabling and testing - System integration and interconnection |
| 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 |
| Technical Principle and Application of Video Cloud | 5% | - Cloud-based video service deployment - Video cloud architecture and features |
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問題 #45
During license plate recognition, the binary license plate image is horizontally projected along the Y axis to obtain the longest successive projection segment as the character area, and the successive horizontal black lines around the licence plate are filtered out. This method is called ( ).
答案：D
解題說明：
The correct answer is C because the described method exactly matches the definition of horizontal projection used in license plate character area extraction. In license plate recognition, projection methods are commonly used to separate valid character regions from noise and borders. The material states that "Horizontal projection: The binary license plate image is horizontally projected along the Y axis to obtain the longest successive projection segment as the character area. Filter out horizontally successive black lines around the license plate." This wording is essentially identical to the question, so the method can be identified directly.
From an image-processing perspective, horizontal projection analyzes the pixel distribution across rows to locate the effective vertical range of the character band. This helps remove irrelevant black border lines above and below the plate characters. By contrast, vertical projection is mainly used later to segment individual characters because spaces naturally exist between them. Binary processing is a preprocessing step, not the named segmentation method here, and direction division is not the correct technical term in this context.
Therefore, the only correct choice is C. Horizontal projection .
問題 #46
Which of the following descriptions about the low-level design (LLD) of the site is wrong?
答案：C
問題 #47
Before designing the intelligent vision platform LL.D, what materials do engineers need to prepare in advance? (Multiple choice)
答案：A,D
問題 #48
Regarding the light edge planning and design process, which of the following descriptions is correct?
答案：D
問題 #49
Which of the following functions are implemented based on the target intelligent analysis technology?
答案：A,B,C,D
問題 #50
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