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Adaptive high-resolution low-power vision system and method

A high-resolution, visual system technology, applied in the field of image processing, can solve problems such as limitations and impossibility, achieve the effect of reducing network bandwidth and power consumption, and improving data processing efficiency

Pending Publication Date: 2022-01-04
淄博凝眸智能科技有限公司
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  • Application Information

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Problems solved by technology

On the other hand, although high-resolution imaging is the first choice or requirement for many applications, it is impossible in reality due to the limitations of the above-mentioned hardware facilities

Method used

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  • Adaptive high-resolution low-power vision system and method
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  • Adaptive high-resolution low-power vision system and method

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Embodiment Construction

[0031] Such as figure 1 Shown is the components and settings of the existing vision system 100 , the system 100 includes: an image acquisition device 110 , a local storage unit 120 , a local processor 1 , a local or Internet connection 140 , a cloud database 150 and a user display unit 160 .

[0032] The image acquisition device 110 includes: an optical sensing unit 511 to photograph objects, and the optical sensing unit 111 includes: a visual sensor and an optical system including: at least one lens module. The vision sensor includes: at least one photosensitive element, such as a CMOS or CCD pixel array. Photosensitive pixels can respond to visible light, infrared or extreme ultraviolet light. The size and number of pixels determine the image resolution.

[0033] Local storage unit 120 includes any magnetic storage, optical storage, or flash memory device. What these storage devices have in common is that the storage space is limited, because the camera is usually carried...

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Abstract

The invention relates to a self-adaptive high-resolution low-power-consumption visual system and method. The system comprises a feedback unit connected with a display unit and an AI chip arranged in an image acquisition device, wherein the feedback unit is connected with the image acquisition device through a network and outputs a feedback request containing a resolution adjustment request and / or an ROI to the AI chip, and the AI chip performs video construction on the self-adaptive high-resolution image according to the feedback request and outputs compressed data to the local memory and / or the local display. While the reasonable data volume of data storage, processing and network sharing is ensured, detailed and useful information is effectively extracted, the storage space is saved, the data transmission speed is improved, the operation power consumption is reduced, the method can be applied to but not limited to the fields of monitoring / safety, media, teleconference, remote communication, internet broadcasting, traffic and road monitoring, sports and entertainment, AR / VR and the like.

Description

technical field [0001] The invention relates to a technology in the field of image processing, in particular to a visual system and method for adaptively improving resolution and reducing network bandwidth and power consumption, which can improve data efficiency by more than 10x. Background technique [0002] Over the years, CMOS / CCD imaging technology has achieved very high resolution, capable of zooming in on details in complex scenes. However, such high-resolution imaging generates large amounts of data, requiring storage space, data processing power, and bandwidth to record and transmit this information, and the process consumes energy. Since the generated images are increasingly used to extract the information contained in the images rather than the images themselves, especially in video applications, a large part of the image data is redundant and unnecessary. On the other hand, although high-resolution imaging is preferred or required for many applications, it is imp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18H04N7/15H04N5/232
CPCH04N7/18H04N7/15H04N23/80
Inventor 不公告发明人
Owner 淄博凝眸智能科技有限公司
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