Correct Answer: A,B,C  🗳️

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Correct Answer:

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.

Correct Answer: A  🗳️

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Correct Answer:

network adaptation
Explanation:
The correct answer is network adaptation . This function is used when live video quality is affected by unstable bandwidth, packet loss, or fluctuating network throughput. In that situation, the camera dynamically adjusts the stream bit rate to match current network conditions so that video transmission remains stable and smooth. The key logic in the question is the phrase that the camera can "adjust the bit rate automatically based on the onsite network status, to ensure smooth live video" , which directly corresponds to adaptive network-side stream control rather than image tuning, PTZ control, or exposure optimization.
From a technical perspective, artifacts and stuttering during live video are often caused by transport limitations rather than by optics or encoding settings alone. Huawei's live-view framework depends on continuous stream delivery, decoding, and display on the specified window . If the network becomes unstable, fixed-rate transmission may overload available bandwidth. Enabling network adaptation allows the camera to reduce or optimize the bit rate in real time, which improves continuity and reduces playback interruptions. Therefore, network adaptation is the correct function to enable.