Application of image target detection inpacking machine area calculation
A target detection and image technology, applied in computing, computer components, instruments, etc., to achieve the effect of strong applicability and accurate calculation results
Pending Publication Date: 2021-04-02
黑龙江惠达科技发展有限公司
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Problems solved by technology
[0004] The purpose of the present invention is to provide the application of image target detection in the calculation of the area of the baler to solve the problems encountered in the calculation of the current working area of the straw baler proposed in the above background technology: usually the calculation of the working area of the straw baler uses the number of operations* Calculation by way of width
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[0021] see Figure 1-3 , the present invention provides a technical solution: the application of image target detection in the calculation of the area of the packer, the specific operation mode of the application of the image target detection in the calculation of the area of the packer is as follows:
[0022] S1: Shooting image information: Camera 2 is installed on both sides of baler 1, and camera 2 collects field images; a protective cover is set outside camera 2 to prevent straw and dust from blinding camera 2, and to protect camera 2. 2 With night vision function, it can be used even at night;
[0023] S2: Segment the image to obtain target information: According to the field image collected in step S1, identify the straw piles to be packed in the image, and use the deep learning MaskRcnn image segmentation technology to obtain the outline of each row of straw piles;
[0024] MaskR-CNN is a two-stage framework. The first stage scans the image and generates proposals ...
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The invention belongs to the technical field of packing machine area calculation, and particularly relates to application of image target detection in packing machine area calculation. The specific operation mode of the application of the image target detection in the packing machine area calculation is as follows: S1, shooting image information: installing cameras at two sides of a packing machine, and collecting field images by the cameras, S2, segmenting the image to obtain target information: according to the field image collected in the step S1, identifying a straw pile to be packaged inthe image, and adopting a deep learning MaskRcnn image segmentation technology to obtain the contour of each row of straw pile, and S3, calculating the segmented target distance. Through application of a deep learning MaskRcnn image segmentation technology, straw piles of to-be-packaged operation in a field can be quickly identified; through the application of a linear regression mode, the requirement of server rear-end identification on the calculation speed is not high, and the applicability is higher; and the calculation result is accurate.
Description
technical field [0001] The invention relates to the technical field of baler area calculation, in particular to the application of image target detection in baler area calculation. Background technique [0002] The straw baler is a kind of environmental protection equipment that uses the principle of hydraulic pressure to compress straw and straw into blocks, which is beneficial to the storage, transportation and utilization of straw. It is now widely used in the agricultural and animal husbandry industry, and has played a huge role in the protection of the environment and resources. [0003] The current problems encountered in the calculation of the working area of the straw baler: usually the calculation of the working area of the straw baler is calculated by the number of operations * width. Due to the unbalanced distribution of straw, the distance between the two round trips of the baler is not a fixed value, which means that the width is not fixed, and it is diffic...
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Login to View More IPC IPC(8): G06K9/00G06K9/32G06K9/34G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/188G06V10/25G06V10/267G06V10/44G06V2201/07G06N3/045G06F18/24G06F18/214
Inventor 姚亮
Owner 黑龙江惠达科技发展有限公司