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| Section | Objectives |
|---|---|
| Topic 1: Deep Learning Foundations | - Neural networks and CNN fundamentals - Training strategies and optimization |
| Topic 2: Model Deployment and Huawei AI Platform | - Model training and lifecycle management - Huawei ModelArts / AI deployment pipeline |
| Topic 3: Image Processing and Feature Extraction | - Feature extraction and transformation methods - Image representation and enhancement |
| Topic 4: Computer Vision and AI Fundamentals | - Basic concepts of artificial intelligence - Computer vision principles and pipelines |
| Topic 5: Intelligent Vision Algorithms | - Semantic segmentation and scene understanding - Image classification and recognition - Object detection and tracking |
| Topic 6: Application Scenarios | - Industrial and enterprise vision solutions - Smart city and surveillance applications |
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NEW QUESTION # 11
The power supply mode of the camera only supports the power supply mode of the power cord.
Answer: A
NEW QUESTION # 12
As for the routine inspection of CSP, which of the following parts are mainly included? (Multiple choice)
Answer: A,B,C,D
NEW QUESTION # 13
If a suspected vehicle needs to be intercepted and checked on a certain road section, control measures can be implemented on the vehicle on the video service platform.
Answer: B
NEW QUESTION # 14
Huawei's integrated site provides power supply, energy storage, and photovoltaic modules for video sites, which can be adapted to various power supply scenarios such as pure mains, pure light, and optical hybrid.
Answer: B
NEW QUESTION # 15
Which of the following are cloud-edge synergy scenarios of Huawei JVS platforms?
Answer: A,B,C
Explanation:
The correct answers are A, C, and D because cloud-edge synergy is defined as collaboration between a central platform and lightweight edges or other upper- and lower-level cloud domains. The material states that
"Cloud-edge synergy: collaboration between the central platform and lightweight edges or other upper- and lower-level domains deployed on clouds" while separately identifying "Multi-camera Collaboration:
Multiple cameras collaborate to identify same image" . This distinction is decisive: option B belongs to multi-camera collaboration, not cloud-edge synergy.
In practical JVS deployment, cloud-edge synergy includes centralized task orchestration, algorithm lifecycle management, and cross-domain resource coordination. That is why delivering vehicle alert tasks downward to lower-level platforms fits the model, and why centrally loading, upgrading, or replacing algorithms on upper- and lower-level platforms also fits. Likewise, when the upper-level platform applies for edge-side resources to perform intelligent analysis on video or images, it is using distributed resource collaboration, which is a classic cloud-edge function. Option B is excluded because it describes camera-to-camera cooperative recognition rather than platform-to-edge coordination. Therefore, the valid cloud-edge synergy scenarios are A, C, and D .
NEW QUESTION # 16
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