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Visual detection method and device for riverway drifts

A technology for visual detection and drifting objects, applied in the field of intelligent recognition, can solve the problems of easy error and low success rate, and achieve the effect of high accuracy, high efficiency and high recognition accuracy.

Pending Publication Date: 2021-08-24
SHENZHEN POLYTECHNIC
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AI Technical Summary

Problems solved by technology

[0006] In order to solve the problems of low success rate and error-prone in the prior art, the present invention provides a method and device for visual detection of river drifts, which has the characteristics of high recognition success rate and less error-prone

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  • Visual detection method and device for riverway drifts
  • Visual detection method and device for riverway drifts
  • Visual detection method and device for riverway drifts

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Embodiment Construction

[0037] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be described in detail below. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other implementations obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0038] refer to figure 1 As shown, the embodiment of the present invention provides a kind of method for visual detection of river drifts, specifically comprising the following steps:

[0039] 101. Obtaining river channel images; the acquisition of images of river channels and river surfaces does not need to rely on complex hardware devices. It can use images collected by image acquisition devices such as cameras as input, or directly read video stream image frames...

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Abstract

The invention relates to a visual detection method and device for riverway drifts. The method comprises the following steps: acquiring a riverway image; extracting a region of interest of the riverway image based on a preset extraction method; carrying out difference feature extraction on the region of interest based on a twin neural network; and identifying difference features extracted by the twin neural network based on an SSD target detection algorithm to determine the type and position of a drift object. The method has the beneficial effects that from the perspective of computer vision, a target detection model based on the twin network is constructed, appearance of river surface drifts is regarded as feature differences, detection of the drifts is converted into identification and positioning of difference features, and thus category judgment, position positioning and area and flow velocity calculation of the drifts are accurately realized. The river drift detection is realized in a visual mode, the labor cost is low, the dependence on hardware equipment is weak, the maintenance is convenient, and the detection precision is high.

Description

technical field [0001] The invention belongs to the technical field of intelligent identification, and in particular relates to a method and device for visually detecting river drifts. Background technique [0002] Intelligent detection of river drifts is of great significance for improving the current situation of river pollution and promoting the construction of smart cities. The current river drift detection relies more on manual work, mainly manual inspection and salvage, drone patrol and alarm. Manual inspection requires a large labor force and high labor costs, which cannot cope with large-area and sporadic application environments. Automated and intelligent river drift detection is the future development direction of river pollution control. The current river drift management technology mainly includes two aspects: [0003] The construction of smart salvage boats: aims to change the current lack of efficient and intelligent water garbage cleaning technology. This ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/10G06V20/42G06V10/25G06V10/443G06V2201/07G06N3/045G06F18/24
Inventor 张海刚赵子豪孟凡胜易非凡杨金锋
Owner SHENZHEN POLYTECHNIC
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