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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Intelligent Vision System Maintenance and Troubleshooting | 4% | - Common faults and solutions - System backup and recovery - System monitoring and management |
| Topic 2: Intelligent Vision System Planning and Design | 15% | - Reliability and security design - System architecture and component planning - Capacity and performance design |
| Topic 3: Intelligent Vision System Service Commissioning | 8% | - Intelligent analysis service commissioning - System linkage and scheduling verification - Basic service commissioning |
| Topic 4: Video Site Maintenance and Troubleshooting | 5% | - Daily maintenance procedures - Common faults and handling - Fault location and recovery |
| Topic 5: Intelligent Vision System Installation and Configuration | 15% | - Platform hardware and software deployment - System networking and parameter configuration - Service module deployment and activation |
| Topic 6: Video Interconnection Technology Standard and Application | 3% | - Mainstream video interconnection protocols - Interconnection solutions in intelligent security - Video database technical specifications |
| Topic 7: Video Site Planning and Design | 10% | - Transmission and power supply design - Equipment selection and configuration planning - Site selection and coverage planning |
| Topic 8: Technical Principle and Application of Video Big Data | 4% | - Video big data processing technologies - Big data analysis and application scenarios - Structured data and metadata management |
| Topic 9: 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 10: Video Site Installation and Configuration | 18% | - Access and interconnection configuration - Network and parameter configuration - Camera and peripheral installation |
| Topic 11: Technical Principle and Application of Video Cloud | 5% | - Video cloud architecture and features - Video cloud service applications - Cloud-edge collaboration technologies |
| Topic 12: Principle and Application of Intelligent Video Algorithm | 3% | - Common intelligent algorithm principles - Algorithm deployment and application modes |
| Topic 13: Video Site Service Commissioning | 5% | - Performance optimization - Service function verification - Image quality debugging |
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NEW QUESTION # 18
Upon completion of tasks across platforms / resources / after data collaboration configuration, which can be made of the following? (Multiple choice)
Answer: A,B,C,D
NEW QUESTION # 19
The face recognition scene has requirements for pedestrian speed, but no requirements for pedestrian walking direction.
Answer: B
NEW QUESTION # 20
There are two types of lightning protection devices for video sites: power surge protectors and signal surge protectors.
Answer: B
NEW QUESTION # 21
Which of the following methods can be used to fix the issue of images appearing dark in backlit scenarios?
Answer: B
Explanation:
The correct answer is A because WDR is the standard method for handling scenes with strong contrast between bright background light and a darker foreground target. In a backlit scenario, the camera must balance very bright and very dark regions at the same time. If this is not handled correctly, the foreground subject appears too dark. WDR addresses exactly this problem by improving detail retention in both bright and dark parts of the scene.
This is consistent with the exposure principle emphasized in the material, which states that "T-Shot, Huawei' s patented exposure technology, enables optimal imaging of targets and vehicles at the same time" and explains that "Traditional exposure technology cannot correctly expose targets, motor vehicles, and non- motorized vehicles in one image" . That same engineering logic is what makes WDR the right correction for backlit darkness. By contrast, HLC is mainly used to suppress overly bright highlights such as headlights, not to brighten a dark foreground in a backlit scene. FoV and focal length affect framing and magnification, not dynamic-range correction. Therefore, A is the correct answer.
NEW QUESTION # 22
Which of the following features can provide perfect exposure for an object in backlight scenarios?
Answer: D
Explanation:
The correct answer is A because Backlight Compensation (BLC) is the feature specifically intended to improve foreground object exposure when strong light is coming from behind the subject. In a backlight scene, the background is much brighter than the target, so the camera's default exposure logic may darken the object and make it difficult to identify. BLC corrects this by increasing exposure priority on the foreground region so the object can be seen more clearly.
This aligns with the exposure-focused design philosophy in the material, where Huawei emphasizes advanced exposure optimization. The document notes that "T-Shot, Huawei's patented exposure technology, enables optimal imaging of targets and vehicles at the same time" and explains that traditional exposure methods cannot correctly expose different objects within the same image under challenging conditions . In ordinary camera feature terminology, the standard function used for a backlit foreground target is BLC. By contrast, white balance adjusts color temperature, HLC suppresses excessively bright highlights such as headlights, and high resolution only increases detail, not exposure correction. Therefore, the correct feature for backlight object exposure is BLC .
NEW QUESTION # 23
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