AI-based intelligent image preprocessing method and system

An intelligent image and preprocessing technology, applied in image data processing, image memory management, image enhancement, etc., can solve problems such as limited effects, and achieve the effects of increasing hardware costs, improving algorithm performance, and lowering cache requirements

Pending Publication Date: 2019-11-01
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

In this solution, the AI ​​module is located at the backend of the ISP, and t

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  • AI-based intelligent image preprocessing method and system
  • AI-based intelligent image preprocessing method and system

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Embodiment Construction

[0021] This embodiment uses an integrated circuit (ASIC) to replace the traditional AI chip, and uses the stacking technology to integrate the ASIC into the image sensor, and utilizes the corresponding relationship between the input image and the output feature map involved in the CNN calculation in the spatial position. One feature allows the sensor to scan the pixel array synchronously with the CNN calculation: the image sensor stores the pixel information obtained by line scanning into the cache, and performs a CNN calculation when the memory is full, and then continues to scan the following pixels. In this way, there is no need to input a complete picture at one time, which reduces the requirement for cache size, and the entire computing task can be completed under limited hardware storage resources.

[0022] like image 3 As shown, when the image sensor includes N rows and M columns of pixel arrays, the required size of the buffer is n×M, where N is preferably an integer ...

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Abstract

The invention discloses an AI-based intelligent image preprocessing method and system. The AI-based intelligent image preprocessing method comprises the steps: obtaining a sensing signal from an imagesensor in batches, carrying out the artificial intelligence processing, outputting a processing result to the image sensor for selective optimization, and enabling the image sensor to output the optimized sensing signal to an image signal processor for generating a digital image. According to the invention, the AI processing mode and the final imaging strategy can be flexibly adjusted according to different applications and requirements; in addition, the requirement for cache of the image sensor is low, and the whole picture can be processed only through a small amount of cache, and hardwarecost and power consumption are remarkably reduced. According to the invention, when AI processing is carried out on the input image, more pixel information in the vertical direction can be contained according to an adaptive occasion, and the algorithm performance of the intelligent camera in the application field sensitive to the context information in the vertical direction can be improved on thepremise that the hardware cost is not increased. The AI-based intelligent image preprocessing method can be used for but is not limited to face detection, pedestrian detection, vehicle identificationand the like.

Description

technical field [0001] The invention relates to a technology in the field of artificial intelligence image processing, in particular to an AI-based intelligent image preprocessing method and system. Background technique [0002] Existing smart cameras are based on artificial intelligence (AI) technology, collect raw pixel pictures through image sensors, process RGB color pictures by image signal processor (ISP), and then use AI module to perform convolutional neural network (CNN) on RGB images. and so on. In this solution, the AI ​​module is located at the back end of the ISP, and the effect of AI processing is limited by the processing capability of the ISP. SUMMARY OF THE INVENTION [0003] Aiming at the limitation of existing sensor hardware and bandwidth, the effect of ISP on image processing cannot meet industrial needs, and proposes an AI-based intelligent image preprocessing method and system, which utilizes the input image and output feature map in the CNN calcula...

Claims

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Application Information

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IPC IPC(8): G06T1/20G06T1/60G06K9/00G06K9/32
CPCG06T1/20G06T1/60G06T2207/10004G06T2207/20081G06T2207/20084G06T2207/20104G06T2207/30201G06V40/166G06V40/178G06V40/103G06V40/172G06V10/25
Inventor 吴华杨双于山虎韦统启孙鑫盛
Owner 淄博凝眸智能科技有限公司
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