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| Section | Objectives |
|---|---|
| Topic 1: Machine Vision Fundamentals | - Video Processing Fundamentals - Image Processing Fundamentals - Computer Vision Basics |
| Topic 2: Intelligent Vision Overview | - Core Technologies and Components - Intelligent Vision Industry Trends - Huawei Intelligent Vision Solution Architecture |
| Topic 3: Operations and Maintenance | - Performance Optimization - System Monitoring - Fault Diagnosis and Troubleshooting |
| Topic 4: Solution Design and Deployment | - Deployment and Configuration - Solution Architecture Design - Project Planning |
| Topic 5: Industry Application Scenarios | - Industrial Vision Applications - Smart Campus - Transportation - Safe City |
| Topic 6: AI and Deep Learning Technologies | - Model Training and Inference - Artificial Intelligence Fundamentals - Deep Learning Concepts |
| Topic 7: Huawei Intelligent Vision Products | - Edge Computing Devices - Cloud and Platform Services - Atlas AI Computing Platform - Intelligent Cameras |
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NEW QUESTION # 14
When installing the behavior analysis/video summary/video search characteristic algorithm, only the VA type algorithm needs to be installed, and the MCS type algorithm does not need to be installed
Answer: B
NEW QUESTION # 15
The micro edge is suitable for small surveillance scenarios such as supermarkets, schools, bank business halls, and parks.
Answer: B
NEW QUESTION # 16
Link the following features of Huawei intelligent cameras to the corresponding description.
Answer:
Explanation:
Explanation:
* 1 + N # Sends video streams from generic cameras to intelligent cameras and performs real-time intelligent analysis on the video to embed intelligence into generic cameras.
* T-shot engine # Uses framing technology to detect targets and license plates on images at the same time, improving the snapshot accuracy at night.
* SuperColor # Helps capture full-color images in low light conditions.
* Scene adaptation # Automatically identifies various scenes such as backlight, low light, and rainy
/overcast scenes and optimizes images accordingly.
The matching is determined directly from the intelligent camera feature definitions. The 1 + N function is the primary-secondary camera observation capability, where "a single intelligent camera can connect to N generic cameras on a live network, request streams from these cameras, and perform intelligent analysis on the streams" so it matches the description about embedding intelligence into generic cameras.
The T-shot engine corresponds to the snapshot-related description because the material states that "M-Q and X-H series omni-data structuring cameras support T-Shot snapshot engine" and explains that "T-Shot, Huawei's patented exposure technology, enables optimal imaging of targets and vehicles at the same time" . That fits target and license plate capture in the same image.
Scene adaptation matches the description about identifying backlight, low light, and rainy or overcast scenes because the material states that AI chips "identify the weather and illumination conditions at different time points in the observation scenario, and then automatically adjust the image settings" The remaining feature, SuperColor , therefore matches full-color imaging in low-light conditions.
NEW QUESTION # 17
Regarding the method of adjusting the aperture size of the motorized lens camera, which of the following descriptions is correct?
Answer: A
NEW QUESTION # 18
When multiple lens devices are installed in a certain area (exceeding the maximum number of windows supported by the client), and these monitoring points need to be monitored in real time, which of the following functions can be implemented?
Answer: B
NEW QUESTION # 19
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