CN219891105U - An online detection system for surface defects of bamboo wood flooring - Google Patents
An online detection system for surface defects of bamboo wood flooring Download PDFInfo
- Publication number
- CN219891105U CN219891105U CN202320208749.XU CN202320208749U CN219891105U CN 219891105 U CN219891105 U CN 219891105U CN 202320208749 U CN202320208749 U CN 202320208749U CN 219891105 U CN219891105 U CN 219891105U
- Authority
- CN
- China
- Prior art keywords
- light source
- module
- control module
- detection
- bamboo
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 95
- 235000017166 Bambusa arundinacea Nutrition 0.000 title claims abstract description 29
- 235000017491 Bambusa tulda Nutrition 0.000 title claims abstract description 29
- 241001330002 Bambuseae Species 0.000 title claims abstract description 29
- 235000015334 Phyllostachys viridis Nutrition 0.000 title claims abstract description 29
- 239000011425 bamboo Substances 0.000 title claims abstract description 29
- 239000002023 wood Substances 0.000 title claims abstract description 27
- 230000007547 defect Effects 0.000 title claims description 45
- 238000009408 flooring Methods 0.000 title claims description 17
- 230000005540 biological transmission Effects 0.000 claims abstract description 19
- 238000007689 inspection Methods 0.000 claims abstract description 13
- 238000004891 communication Methods 0.000 claims description 11
- 230000000007 visual effect Effects 0.000 claims description 3
- 238000013523 data management Methods 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 4
- 230000002950 deficient Effects 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000011179 visual inspection Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000008451 emotion Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035484 reaction time Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
Landscapes
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
Description
技术领域Technical field
本实用新型涉及产品表面质量检测领域,特别是涉及竹木地板表面瑕疵在线检测系统。The utility model relates to the field of product surface quality detection, in particular to an online detection system for bamboo and wood floor surface defects.
背景技术Background technique
竹木地板质量决定了竹木地板的使用性能、寿命、工作可靠性等一系列重要参数。竹木地板的表面瑕疵是影响其质量的重要因素。当前在我国很多竹木地板加工生产企业还主要靠人工肉眼进行抽样检测。人工检测在检测完整性、检测效率、检测质量平稳性、检测标准一致性等方面都有不足。随着竹木地板加工量的提升,产品的人为检测识别的工作量也随之加大,从而带来了人工费用、感官疲劳、工作效率、情绪等影响检测效率和检测质量的情况,使得企业产品在没有得到完整质量检测的情况下流转到下道工序和节点,甚至将次品流向市场,造成一定的质量成本和品牌损失。因此有必要设计一种竹木地板表面瑕疵在线检测系统,以帮助企业实现竹木地板孔洞、沟槽、竖裂等表面瑕疵的在线自动化智能化检测、定位和数据管理,从而提升产品质量,降低企业成本。The quality of bamboo and wood flooring determines a series of important parameters such as performance, lifespan, and working reliability of bamboo and wood flooring. Surface defects of bamboo flooring are an important factor affecting its quality. At present, many bamboo and wood flooring processing and production enterprises in my country still mainly rely on artificial naked eyes for sampling inspection. Manual inspection has shortcomings in terms of inspection completeness, inspection efficiency, stability of inspection quality, and consistency of inspection standards. As the processing volume of bamboo wood flooring increases, the workload of manual detection and identification of products also increases, which brings about labor costs, sensory fatigue, work efficiency, emotions, etc. that affect detection efficiency and quality, making enterprises Products are transferred to the next process and node without complete quality inspection, and even defective products are flowed to the market, resulting in certain quality costs and brand losses. Therefore, it is necessary to design an online detection system for surface defects of bamboo and wood flooring to help companies realize online automated intelligent detection, positioning and data management of surface defects such as holes, grooves and vertical cracks in bamboo and wood flooring, thereby improving product quality and reducing costs. business costs.
实用新型内容Utility model content
有鉴于此,本实用新型的目的在于提供一种基于自动化、信息化、机器视觉技术的竹木地板表面瑕疵在线检测系统。In view of this, the purpose of this utility model is to provide an online detection system for bamboo and wood floor surface defects based on automation, informationization, and machine vision technology.
为解决技术问题,本实用新型采用的技术方案是:In order to solve the technical problem, the technical solution adopted by this utility model is:
一种竹木地板表面瑕疵在线检测系统,包括机器视觉检测箱体,工业相机及镜头,第一光源,第二光源,第三光源,第四光源,光电传感器,步进电机模块,电源模块,电机控制模块,光源控制模块、传输带和瑕疵检测模块;所述电源模块分别和步进电机模块、电机控制模块、光源控制模块和瑕疵检测模块连接供电;所述电机控制模块和步进电机模块、光电传感器连接;步进电机模块的输出轴与传输带连接;电机控制模块实时接收光电传感器的检测信号,并基于光电传感器的检测信号控制步进电机模块运行,从而控制传输带传输,被检测地板放置于传输带上;所述光源控制模块和第一光源,第二光源,第三光源,第四光源连接,控制第一光源,第二光源,第三光源,第四光源的关闭和开启;所述工业相机及镜头,第一光源,第二光源,第三光源,第四光源、光电传感器均置于机器视觉检测箱体内且位于传输带上方,其中,第一光源,第二光源,第三光源,第四光源分别位于工业相机及镜头的四个方位;光电传感器位于工业相机检测范围中传输带传输方向前端一侧的边缘;瑕疵检测模块与工业相机及镜头连接,接收工业相机及镜头获取的图像并进行瑕疵检测。An online detection system for surface defects of bamboo wood flooring, including a machine vision detection box, an industrial camera and lens, a first light source, a second light source, a third light source, a fourth light source, a photoelectric sensor, a stepper motor module, and a power module. Motor control module, light source control module, transmission belt and defect detection module; the power module is connected to the stepper motor module, motor control module, light source control module and defect detection module for power supply respectively; the motor control module and the stepper motor module , Photoelectric sensor connection; the output shaft of the stepper motor module is connected to the transmission belt; the motor control module receives the detection signal of the photoelectric sensor in real time, and controls the operation of the stepper motor module based on the detection signal of the photoelectric sensor, thereby controlling the transmission of the transmission belt and being detected The floor is placed on the transmission belt; the light source control module is connected to the first light source, the second light source, the third light source, and the fourth light source, and controls the closing and opening of the first light source, the second light source, the third light source, and the fourth light source. ; The industrial camera and lens, the first light source, the second light source, the third light source, the fourth light source and the photoelectric sensor are all placed in the machine vision detection box and above the transmission belt, wherein the first light source, the second light source, The third light source and the fourth light source are respectively located in the four directions of the industrial camera and lens; the photoelectric sensor is located at the edge of the front end of the conveyor belt transmission direction in the detection range of the industrial camera; the flaw detection module is connected to the industrial camera and lens, receiving the industrial camera and The image captured by the lens is used to detect defects.
进一步地,还包括电脑主机和显示屏,其中电脑主机与电机控制模块、工业相机及镜头、光源控制模块连接,瑕疵检测模块集成在电脑主机内,显示屏用于实时显示瑕疵检测模块的检测结果。Further, it also includes a computer host and a display screen. The computer host is connected to the motor control module, industrial camera and lens, and light source control module. The defect detection module is integrated in the computer host. The display screen is used to display the detection results of the defect detection module in real time. .
进一步地,所述电脑主机通过USB数据线和工业相机及镜头建立通信获得其所拍摄的竹木地板视觉图像。Further, the computer host establishes communication with the industrial camera and lens through a USB data cable to obtain the visual image of the bamboo wood floor captured by it.
进一步地,还包括所述电脑主机通过USB转RS模块和电机控制模块进行数据通信。Further, it also includes the computer host performing data communication through a USB to RS module and a motor control module.
进一步地,所述电脑主机通过USB转RS模块和光源控制模块进行数据通信。Further, the computer host performs data communication through the USB to RS module and the light source control module.
进一步地,第一光源、第二光源、第三光源、第四光源为LED光源并成45度角将光射向相机在被检测地板上的投影点。Further, the first light source, the second light source, the third light source, and the fourth light source are LED light sources and emit light at an angle of 45 degrees to the projection point of the camera on the floor to be detected.
进一步地,机器视觉检测箱体为不透光箱体。Further, the machine vision detection box is a light-tight box.
进一步地,还包括用于置放传输带的承载平台。Furthermore, it also includes a carrying platform for placing the conveyor belt.
进一步地,还包括用于置放步进电机模块,电源模块,电机控制模块和光源控制模块的控制柜。Further, it also includes a control cabinet for placing stepper motor modules, power modules, motor control modules and light source control modules.
本实用新型的有益效果在于,通过本系统的自动化和智能化技术,可实现对孔洞、竖裂、横向沟槽、竖向沟槽等地板表面瑕疵的检测、定位和数据管理。相比于国内原先的人工肉眼抽检,在检测完整性、检测效率、检测质量平稳性、检测标准一致性等方面都有极大的优势,提升了竹木地板表面瑕疵检测的检测质量和检测效率。The beneficial effect of the utility model is that through the automation and intelligent technology of the system, the detection, positioning and data management of floor surface defects such as holes, vertical cracks, transverse grooves, and vertical grooves can be realized. Compared with the original manual visual inspection in China, it has great advantages in terms of detection completeness, detection efficiency, stability of detection quality, and consistency of detection standards, etc., which improves the detection quality and efficiency of surface defect detection of bamboo wood flooring. .
附图说明Description of the drawings
图1为本实用新型系统示意图。Figure 1 is a schematic diagram of the system of the present utility model.
其中,1为机器视觉检测箱体、2为工业相机及镜头、3为第一光源、4为第二光源、5为第三光源、6为第四光源、7为光电传感器、8为步进电机模块、9为电源模块、10为电机控制模块、11为光源控制模块、12为电脑主机、13为显示屏、14为控制柜、15为承载平台、16为传输带、17为被检测地板。Among them, 1 is the machine vision inspection box, 2 is the industrial camera and lens, 3 is the first light source, 4 is the second light source, 5 is the third light source, 6 is the fourth light source, 7 is the photoelectric sensor, and 8 is the stepper. Motor module, 9 is the power module, 10 is the motor control module, 11 is the light source control module, 12 is the computer host, 13 is the display screen, 14 is the control cabinet, 15 is the load-bearing platform, 16 is the transmission belt, and 17 is the floor to be tested. .
图2为电脑主机的在线检测控制程序逻辑图。Figure 2 is the logic diagram of the online detection control program of the computer host.
图3为电机控制模块的控制程序逻辑图。Figure 3 is the control program logic diagram of the motor control module.
图4为光源控制模块的控制程序逻辑图。Figure 4 is a control program logic diagram of the light source control module.
具体实施方式Detailed ways
下面结合附图与具体实施方式对本实用新型做进一步详细描述:The utility model will be further described in detail below in conjunction with the accompanying drawings and specific embodiments:
如图1所示,本实用新型的一种竹木地板表面瑕疵在线检测系统,包括机器视觉检测箱体1,工业相机及镜头2,第一光源3,第二光源4,第三光源5,第四光源6,光电传感器7,步进电机模块8,电源模块9,电机控制模块10,光源控制模块11,传输带16和瑕疵检测模块。电源模块9分别和步进电机模块8、电机控制模块10、光源控制模块11、瑕疵检测模块连接供电。所述电机控制模块10和步进电机模块8、光电传感器7连接;步进电机模块8的输出轴与传输带16连接;电机控制模块10实时接收光电传感器7的检测信号,并基于光电传感器7的检测信号控制步进电机模块8运行,从而控制传输带16传输,被检测地板17放置于传输带16上;所述光源控制模块11和第一光源3,第二光源4,第三光源5,第四光源6连接,控制第一光源3,第二光源4,第三光源5,第四光源6的关闭和开启;所述工业相机及镜头2,第一光源3,第二光源4,第三光源5,第四光源6、光电传感器7均置于机器视觉检测箱体1内且位于传输带16上方,其中,第一光源3,第二光源4,第三光源5,第四光源6分别位于工业相机及镜头2的四个方位;光电传感器7位于工业相机检测范围中传输带16传输方向前端一侧的边缘(图中右侧),从而能准确地检测被检测地板17是否在工业相机检测范围内。瑕疵检测模块与工业相机及镜头2连接,接收工业相机及镜头2获取的图像并进行瑕疵检测。As shown in Figure 1, the utility model's online detection system for surface defects of bamboo wood flooring includes a machine vision detection box 1, an industrial camera and lens 2, a first light source 3, a second light source 4, and a third light source 5. The fourth light source 6, photoelectric sensor 7, stepper motor module 8, power module 9, motor control module 10, light source control module 11, transmission belt 16 and defect detection module. The power supply module 9 is connected to the stepper motor module 8, the motor control module 10, the light source control module 11, and the defect detection module for power supply respectively. The motor control module 10 is connected to the stepper motor module 8 and the photoelectric sensor 7; the output shaft of the stepper motor module 8 is connected to the transmission belt 16; the motor control module 10 receives the detection signal of the photoelectric sensor 7 in real time, and based on the photoelectric sensor 7 The detection signal controls the operation of the stepper motor module 8, thereby controlling the transmission of the conveyor belt 16, and the tested floor 17 is placed on the conveyor belt 16; the light source control module 11 and the first light source 3, the second light source 4, the third light source 5 , the fourth light source 6 is connected to control the closing and opening of the first light source 3, the second light source 4, the third light source 5, and the fourth light source 6; the industrial camera and lens 2, the first light source 3, the second light source 4, The third light source 5, the fourth light source 6 and the photoelectric sensor 7 are all placed in the machine vision detection box 1 and above the conveyor belt 16. Among them, the first light source 3, the second light source 4, the third light source 5 and the fourth light source 6 are respectively located at the four directions of the industrial camera and lens 2; the photoelectric sensor 7 is located at the edge of the front end of the transmission direction of the conveyor belt 16 in the detection range of the industrial camera (right side in the picture), so that it can accurately detect whether the floor 17 to be detected is in Within the detection range of industrial cameras. The defect detection module is connected to the industrial camera and lens 2, receives the images acquired by the industrial camera and lens 2, and performs defect detection.
优选地,还包括电脑主机12和显示屏13,电脑主机12通过USB转RS485模块和电机控制模块10进行数据通信,电机控制模块10根据光电传感器7信号和电脑主机12通信指令,控制步进电机模块8运行和停止传输带16。电脑主机12通过USB数据线和工业相机及镜头2建立通信获得其所拍摄的竹木地板视觉图像。优选的,工业相机及镜头2中的工业相机型号为JHSM300s,布置在被检测地板17正上方。电脑主机12通过USB转RS485模块和光源控制模块11进行数据通信,光源控制模块11根据电脑主机12通信指令,控制第一光源3,第二光源4,第三光源5,第四光源6的关闭和开启。第一光源3,第二光源4,第三光源5,第四光源6为LED光源并成45度角将光射向相机在被检测地板17上的投影点,且在地板传输方向上布置第一光源3和第三光源5,在地板传输方向的垂直方向上布置第二光源4和第四光源6,此时光电传感器7位于工业相机检测范围中第三光源5一侧边缘。机器视觉检测箱体1为不透光箱体,并将工业相机及镜头2,第一光源3,第二光源4,第三光源5,第四光源6和光电传感器7包含于内,确保工业相机及镜头2在拍照时能排除环境光干扰,能获取准确的图像。瑕疵检测模块集成在电脑主机12内,显示屏13用于实时显示瑕疵检测模块的检测结果。Preferably, it also includes a computer host 12 and a display screen 13. The computer host 12 performs data communication with the motor control module 10 through a USB to RS485 module. The motor control module 10 controls the stepper motor according to the photoelectric sensor 7 signal and the computer host 12 communication instructions. Module 8 starts and stops the conveyor belt 16 . The computer host 12 establishes communication with the industrial camera and lens 2 through a USB data cable to obtain the visual image of the bamboo wood floor captured by it. Preferably, the industrial camera model in the industrial camera and lens 2 is JHSM300s, which is arranged directly above the floor 17 to be inspected. The computer host 12 performs data communication with the light source control module 11 through a USB to RS485 module. The light source control module 11 controls the closing of the first light source 3, the second light source 4, the third light source 5, and the fourth light source 6 according to the communication instructions of the computer host 12. and turn on. The first light source 3, the second light source 4, the third light source 5, and the fourth light source 6 are LED light sources and emit light at a 45-degree angle to the projection point of the camera on the floor 17 to be detected, and are arranged in the floor transmission direction. A light source 3 and a third light source 5 are arranged in the vertical direction of the floor transmission direction, and the second light source 4 and the fourth light source 6 are arranged. At this time, the photoelectric sensor 7 is located at the edge of the third light source 5 in the detection range of the industrial camera. The machine vision detection box 1 is a light-tight box and contains an industrial camera and lens 2, a first light source 3, a second light source 4, a third light source 5, a fourth light source 6 and a photoelectric sensor 7 to ensure that the industrial The camera and lens 2 can eliminate ambient light interference when taking pictures and obtain accurate images. The defect detection module is integrated in the computer host 12, and the display screen 13 is used to display the detection results of the defect detection module in real time.
本实用进行的竹木地板表面瑕疵在线检测系统工作时,工人将被检测地板17放置在传输带16上,电脑主机12发送开始检测指令给电机控制模块10,电机控制模块10驱动步进电机模块8控制传输带16往前输送被检测地板17到指定位置,电脑主机12控制光源控制模块11和工业相机及镜头2获取数字图像,并利用瑕疵检测模块进行地板瑕疵的智能识别和定位。电脑主机12的在线检测控制程序逻辑图如图2。当开始检测后,电脑发送指令给电机控制模块10开始检测,并等待电机控制模块10反馈地板输送完毕信号。如果被检测地板17输送到指定位置后,电脑主机发送指令给光源控制模块11定时按序开启光源。指令发出后,延迟t1秒后,控制工业相机采集图像1。延迟t2秒后,控制工业相机采集图像2。延迟t2秒后,控制工业相机采集图像3。延迟t2秒后,控制工业相机采集图像4。其中,t1表示电脑主机发送指令给光源控制模块11开启光源到第一光源开启的反应时间,t2表示关闭光源并开启下一个光源的延迟时间。电脑主机12将获取的图像输入至瑕疵检测模块进行检测,瑕疵检测模块利用采集的四幅图像应用光度立体技术,获得表面梯度图像。再通过表面梯度图像获得高斯曲率图像。根据高斯曲率图像定位和标注缺陷点,判别质量等级,并保存相关检测数据到数据库。完成后电脑主机12发送指令给电机控制模块10控制传输带16继续输送,并不断实时检测。电机控制模块10的控制程序逻辑图如图3。当电机控制模块10收到电脑指令开始检测后,驱动步进电机模块8控制传输带16往前输送,这时传输带16上的被检测地板17也往前运动。光电传感器7实时检测,判断被检测地板17是否到达工业相机的检测范围,电机控制模块10不断接收光电传感器7的信号,如果光电传感器7检测到被检测地板17,则驱动步进电机模块8控制传输带16停止输送,并反馈给电脑主机12输送完毕。电脑主机12控制其他模块完成瑕疵检测;当完成检测后电脑主机12发出继续输送指令,电机控制模块10收到电脑主机2继续输送指令,驱动步进电机模块8控制传输带16将被检测地板17往前输送n距离后停止输送,将被检测地板17的下一待检区域输送到检测范围,并反馈给电脑主机2,n表示相机在传送方向上一次拍摄时的最大长度。直至光电传感器7检测不到被检测地板17,则表明一块地板产品已经完成检测,则驱动步进电机模块8控制传输带16往前输送,将下一块地板输送到光电传感器7位置停止后开始下一块地板的检测。光源控制模块12的控制程序逻辑图如图4。当光源控制模块12收到电脑指令开启光源后,开启第一光源并延时t2秒。再关闭第一光源,开启第二光源并延时t 2秒。再关闭第二光源,开启第三光源并延时t 2秒。再关闭第三光源,开启第四光源并延时t 2秒。再关闭第四光源。然后再次等待电脑主机开启光源指令,运行下一个循环。其中,t1与t2的设置,应确保工业相机采集图像时,对应的光源处于开启状态。When the practical online detection system for bamboo and wood floor surface defects is working, workers place the floor 17 to be detected on the conveyor belt 16, and the computer host 12 sends a start detection command to the motor control module 10, and the motor control module 10 drives the stepper motor module 8. Control the conveyor belt 16 to forward the inspected floor 17 to a designated position. The computer host 12 controls the light source control module 11 and the industrial camera and lens 2 to obtain digital images, and uses the defect detection module to intelligently identify and locate floor defects. The logic diagram of the online detection control program of the computer host 12 is shown in Figure 2. When the detection is started, the computer sends an instruction to the motor control module 10 to start detection, and waits for the motor control module 10 to feedback the floor conveying completion signal. If the detected floor 17 is transported to the designated position, the computer host sends an instruction to the light source control module 11 to turn on the light source in a regular and sequential manner. After the instruction is issued, after a delay of t1 seconds, the industrial camera is controlled to collect image 1. After a delay of t2 seconds, control the industrial camera to collect image 2. After a delay of t2 seconds, control the industrial camera to collect image 3. After a delay of t2 seconds, control the industrial camera to collect image 4. Among them, t1 represents the reaction time from when the computer host sends an instruction to the light source control module 11 to turn on the light source until the first light source is turned on, and t2 represents the delay time from turning off the light source and turning on the next light source. The computer host 12 inputs the acquired images to the defect detection module for detection. The defect detection module applies photometric stereoscopic technology using the four collected images to obtain a surface gradient image. The Gaussian curvature image is then obtained through the surface gradient image. Locate and mark defective points based on the Gaussian curvature image, determine the quality level, and save relevant inspection data to the database. After completion, the computer host 12 sends an instruction to the motor control module 10 to control the conveyor belt 16 to continue conveying, and continuously detects it in real time. The control program logic diagram of the motor control module 10 is shown in Figure 3. When the motor control module 10 receives the computer instruction to start detection, it drives the stepper motor module 8 to control the conveyor belt 16 to move forward. At this time, the inspected floor 17 on the conveyor belt 16 also moves forward. The photoelectric sensor 7 detects in real time to determine whether the detected floor 17 reaches the detection range of the industrial camera. The motor control module 10 continuously receives the signal from the photoelectric sensor 7. If the photoelectric sensor 7 detects the detected floor 17, it drives the stepper motor module 8 to control The conveyor belt 16 stops conveying and feeds back to the computer host 12 that the conveying is completed. The computer host 12 controls other modules to complete the defect detection; when the detection is completed, the computer host 12 issues a continue conveying instruction, the motor control module 10 receives the computer host 2 to continue conveying instructions, and drives the stepper motor module 8 to control the conveyor belt 16 to be inspected on the floor 17 After conveying n distance forward, the conveying stops, and the next area to be inspected of the floor 17 to be inspected is conveyed to the inspection range and fed back to the computer host 2. n represents the maximum length of the camera in one shot in the conveying direction. Until the photoelectric sensor 7 cannot detect the floor 17 to be detected, it indicates that the detection of a floor product has been completed, and the stepper motor module 8 is driven to control the conveyor belt 16 to transport forward, and the next floor is transported to the position of the photoelectric sensor 7 and then starts to drop. Inspection of a floor. The control program logic diagram of the light source control module 12 is shown in Figure 4 . When the light source control module 12 receives the computer instruction to turn on the light source, it turns on the first light source and delays for t2 seconds. Then turn off the first light source, turn on the second light source and delay t for 2 seconds. Then turn off the second light source, turn on the third light source and delay t for 2 seconds. Then turn off the third light source, turn on the fourth light source and delay t for 2 seconds. Then turn off the fourth light source. Then wait for the computer host to turn on the light source command again and run the next cycle. Among them, the settings of t1 and t2 should ensure that the corresponding light source is on when the industrial camera collects images.
本实用新型可实现竹木地板的在线瑕疵检测、定位和数据管理。通过本系统的自动化和智能化技术,可实现对孔洞、竖裂、横向沟槽、竖向沟槽等地板表面瑕疵的检测、定位和数据管理。相比于国内原先的人工肉眼抽检,在检测完整性、检测效率、检测质量平稳性、检测标准一致性等方面都有极大的优势,提升了竹木地板表面瑕疵检测的检测质量和检测效率。The utility model can realize online defect detection, positioning and data management of bamboo and wood flooring. Through the automation and intelligent technology of this system, the detection, positioning and data management of floor surface defects such as holes, vertical cracks, horizontal grooves, and vertical grooves can be realized. Compared with the original manual visual inspection in China, it has great advantages in terms of detection completeness, detection efficiency, stability of detection quality, and consistency of detection standards, etc., which improves the detection quality and efficiency of surface defect detection of bamboo wood flooring. .
显然,上述实施例仅仅是为清楚地说明所作的举例,而并非对实施方式的限定。对于所属领域的普通技术人员来说,在上述说明的基础上还可以做出其他不同形式的变化或变动。这里无需也无法把所有的实施方式予以穷举。而由此所引申出的显而易见的变化或变动仍处于本实用新型的保护范围。Obviously, the above-mentioned embodiments are only examples for clear explanation and are not intended to limit the implementation. For those of ordinary skill in the art, other different forms of changes or changes can be made based on the above description. It is not necessary and impossible to exhaustively enumerate all implementations here. However, obvious changes or modifications derived therefrom are still within the protection scope of the present invention.
Claims (9)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202320208749.XU CN219891105U (en) | 2023-02-14 | 2023-02-14 | An online detection system for surface defects of bamboo wood flooring |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202320208749.XU CN219891105U (en) | 2023-02-14 | 2023-02-14 | An online detection system for surface defects of bamboo wood flooring |
Publications (1)
Publication Number | Publication Date |
---|---|
CN219891105U true CN219891105U (en) | 2023-10-24 |
Family
ID=88410959
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202320208749.XU Active CN219891105U (en) | 2023-02-14 | 2023-02-14 | An online detection system for surface defects of bamboo wood flooring |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN219891105U (en) |
-
2023
- 2023-02-14 CN CN202320208749.XU patent/CN219891105U/en active Active
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN207057050U (en) | A kind of micro parts Appearance quality defect optical detection apparatus | |
CN205650478U (en) | Switch outward appearance check out test set and system | |
CN107470170B (en) | PCB detection sorting system and method based on machine vision | |
CN110827256B (en) | Optical and thermal infrared multi-stage imaging detection method and device for defects of transparent component | |
CN106670116B (en) | Magnetic material detects and sorting device | |
CN108765416A (en) | PCB surface defect inspection method and device based on fast geometric alignment | |
CN111229648A (en) | Solar cell panel flaw detection system and detection method based on machine vision | |
CN105817430A (en) | Product detection method based on machine vision | |
CN201769429U (en) | Laminating machine with automatic product detection | |
CN104570411A (en) | Multistation light-on AOI (automatic optical inspection) system | |
CN109342457A (en) | A double-sided visual inspection and identification device | |
CN109813718A (en) | An LED chip module defect detection device and method | |
CN206022316U (en) | A kind of solar energy silicon crystal chip defect automatic checkout equipment | |
CN212301356U (en) | A visual inspection device for wheel hub welds | |
CN206588032U (en) | A kind of magnetic material detection and sorting equipment | |
CN104197850A (en) | Component pin detection method and device based on machine vision | |
CN116359228A (en) | Single crystal silicon rod surface flaw detection device and detection system | |
CN219891105U (en) | An online detection system for surface defects of bamboo wood flooring | |
CN116078704A (en) | A CCD-based Appearance Inspection Equipment | |
CN109967365A (en) | Appearance inspection system and method of cylindrical capacitor based on machine vision | |
CN114527073A (en) | Rapid high-precision appearance quality detection system and detection method for reflective curved surface | |
CN211905142U (en) | Full-automatic glasses lens check out test set | |
CN112834522A (en) | A visual inspection feedback control system | |
CN220690817U (en) | Appearance process measuring device for liquid crystal display screen | |
CN209550027U (en) | Intelligent sorting system for disposable diapers based on computer vision |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant |