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Rapid identification method for multi-category hardware in complex aliasing scene

A recognition method and hardware technology, applied in neural learning methods, character and pattern recognition, computer parts, etc., can solve problems such as false detection and missed detection

Pending Publication Date: 2022-03-15
FOSHAN UNIVERSITY
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Problems solved by technology

[0005] The embodiment of the present disclosure provides a fast identification method for multi-category hardware in a complex aliasing scene. A fast identification algorithm for multi-category hardware in complex and mixed scenes is proposed, which can accurately identify the category and position of hardware in a scene where hardware is placed in disorder, laying a solid foundation for industrial robots to realize intelligent grasping of hardware Base

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  • Rapid identification method for multi-category hardware in complex aliasing scene
  • Rapid identification method for multi-category hardware in complex aliasing scene
  • Rapid identification method for multi-category hardware in complex aliasing scene

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Embodiment Construction

[0028] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present disclosure, not to limit the present disclosure.

[0029] It should be noted that although the functional modules are divided in the schematic diagram of the device, and the logical sequence is shown in the flowchart, in some cases, it can be executed in a different order than the module division in the device or the flowchart in the flowchart. steps shown or described. The terms "first", "second" and the like in the specification, claims or the above drawings are used to distinguish similar objects, and not necessarily used to describe a specific order or sequence.

[0030] Such as figure 1 as shown, figure 1 It is a flow chart of a metho...

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Abstract

The invention provides a rapid identification method for multi-category hardware in a complex aliasing scene, and relates to the technical field of computer image identification, the method comprises the following steps: obtaining a training sample set, training samples in the training sample set comprising images and xml format files corresponding to the images, the xml format file is used for marking the position and category of the hardware in the corresponding image; inputting the training sample set into a model improved based on the yolov5 for training, and generating a hardware detection model; obtaining a to-be-detected image, inputting the to-be-detected image into the hardware detection model for detection, and identifying hardware contained in the to-be-detected image; outputting the position and the type of the hardware contained in the to-be-detected image; according to the method and the device, the type and the position of the hardware can be accurately identified in a scene that the hardware is disorderly placed.

Description

technical field [0001] The present disclosure relates to but is not limited to the technical field of computer image recognition, and in particular relates to a method for quickly recognizing multi-category hardware in a complex aliasing scene. Background technique [0002] For the hardware production and processing industry, factors such as strong reflections on the surface of the hardware and complex lighting conditions at the processing site bring great challenges to the application of machine vision inspection technology, especially in the loading and unloading and sorting links. Due to the random placement of various types of hardware, the outer contours will stick to each other, aliasing and occlusion, resulting in the existing visual inspection algorithm will have a high false recognition rate, slow recognition speed and positioning accuracy in the process of hardware recognition and positioning The poor problem cannot effectively assist industrial robots to achieve i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/764G06T7/73G06V10/82G06N3/04G06N3/08G06T7/00G06K9/62
CPCG06T7/73G06T7/0004G06N3/08G06T2207/30136G06T2207/30164G06T2207/20081G06T2207/20084G06N3/045G06F18/214G06F18/241G06F18/253
Inventor 卢清华严光源张云志
Owner FOSHAN UNIVERSITY
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