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Target recognition method, system and device in commodity image, and storage medium

A technology of target recognition and commodity image, applied in the field of image recognition, it can solve the problem of not being able to adapt to complex scenes, and achieve the effect of improving the recognition accuracy and avoiding missed detection.

Active Publication Date: 2018-11-02
SHANGHAI CLOBOTICS TECHNOLOGY CO LTD
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, due to the complexity of the shopping mall scene, there are tens of thousands of images taken, and a single image processing algorithm cannot adapt to complex scenes. Misjudgment has strong robustness

Method used

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  • Target recognition method, system and device in commodity image, and storage medium
  • Target recognition method, system and device in commodity image, and storage medium
  • Target recognition method, system and device in commodity image, and storage medium

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Embodiment Construction

[0062] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0063] figure 1 It is a flow chart of the steps of the target recognition method in the commodity image in the present invention, such as figure 1 As shown, the object recognition method in the product image provided by the present invention includes

[0064] Step S1: Obtain several images, input the images into a pre-trained scene classification model, and determine the application scenarios corresponding to the images;

[0065] Step S2: According to the application scene corresponding to the ima...

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Abstract

The present invention provides a target recognition method, system and device in a commodity image, and a storage medium. The method comprises: S1: acquiring a plurality of images, inputting the images into a pre-trained scenario classification model, and determining an application scenario corresponding to an image; S2: selecting a pre-trained ROI area detection model according to the applicationscenario corresponding to the image, and detecting ROI areas on the image; S3: correcting the image with the detected ROI areas to generate a corrected image; and S4: inputting the corrected image into a pre-trained target recognition model to perform recognition of each commodity area on the image. According to the technical scheme of the present invention, before the recognition of the commodity area, scenario classification, quality adjustment, ROI area recognition, and image correction are sequentially performed in an innovative manner, and finally recognition of the commodity area is performed, so that the recognition accuracy of the commodity area is remarkably improved, the recognition accuracy of the commodity is increased from 60% to 95%, and the application of the commodity recognition technology in new retail areas is promoted.

Description

technical field [0001] The present invention relates to image recognition technology, in particular to a method, system, device and storage medium for object recognition in commodity images. Background technique [0002] With the increasing computing power of the hardware part of computers and smartphones, machine learning and computer vision technology has achieved rapid development in recent years. Many researchers have done a lot of work to develop machine learning and computer that can assist people in daily tasks. vision algorithm. [0003] In the field of new retail, it is necessary to regularly collect shelf images through mobile phones, and collect the collected images into the background system. The acquired system uses image processing technology to obtain the type, quantity and location information of each commodity in the image. After the generated data is aggregated into a report and the image data is updated regularly. It is possible to fully control the con...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/62
CPCG06V10/255G06F18/2413G06F18/214
Inventor 陈俊豪李轶鹏李亚乾柯严
Owner SHANGHAI CLOBOTICS TECHNOLOGY CO LTD
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