Mainboard appearance detection method and device based on deep learning, equipment and storage medium
A technology of appearance inspection and deep learning, applied in the field of deep learning, can solve the problem of low accuracy in detecting the appearance of motherboards, and achieve the effect of detection accuracy
Pending Publication Date: 2022-06-07
阿丘机器人科技(苏州)有限公司
View PDF0 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] The main purpose of the present invention is to provide a deep learning method, device, equipment and storage medium for detecting the appearance of a motherboard, aiming to solve the technical problem of low accuracy in detecting the appearance of a motherboard in the prior art
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0052] It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.
[0053] refer to figure 1 , figure 1It is a schematic structural diagram of a motherboard appearance detection device for deep learning of the hardware operating environment involved in the solution of the embodiment of the present invention.
[0054] like figure 1 As shown, the deep learning mainboard appearance detection device may include: a processor 1001 , such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wi...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to the technical field of deep learning, and discloses a mainboard appearance detection method and device based on deep learning, equipment and a storage medium, and the method comprises the steps: obtaining an image column number according to a current image of a collected target mainboard appearance; when the in-column number of the images meets a preset out-column number threshold value, splicing the current images through a preset image rotation splicing algorithm to obtain a target image; performing positioning detection on the target image according to a preset image detection algorithm; detecting the current master device image and the current element image through the target network model to obtain a detection result of the appearance of the target mainboard; according to the method, the current image is spliced through the preset image rotation splicing algorithm, then the target image is positioned and detected through the preset image detection algorithm, and then the current master device image and the current element image are detected through the target network model, so that compared with the prior art that the appearance of the mainboard is detected only through a traditional image algorithm, the detection accuracy is improved; the accuracy of the mainboard appearance can be effectively detected.
Description
technical field [0001] The present invention relates to the technical field of deep learning, and in particular, to a deep learning method, device, equipment and storage medium for detecting the appearance of a motherboard. Background technique [0002] With the rapid development of smart technology, smart products are becoming more and more common in people's daily life, such as smart phones, smart TVs, smart influences, etc., and smart phones are used more frequently, and the motherboard is an important component of smart phones. Components have a great impact on the performance of the smartphone, that is, when the motherboard is defective, the entire smartphone will also become a defective product. Therefore, it is very necessary to inspect the appearance of the motherboard, and the current detection method used to detect the appearance of the motherboard It uses traditional image detection algorithms, such as feature image detection algorithms, machine learning detection...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T3/60G06T3/40G06K9/62
CPCG06T7/0004G06T3/60G06T3/4038G06T7/11G06T7/136G06T2207/20132G06T2200/32G06F18/214Y02D10/00
Inventor 黄耀郭朝伟
Owner 阿丘机器人科技(苏州)有限公司