CN202037127U - Automatic egg quality detection and separation equipment - Google Patents
Automatic egg quality detection and separation equipment Download PDFInfo
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Abstract
本实用新型公开了一种禽蛋品质自动检测分选设备,涉及禽蛋检测技术领域。本设备包括送蛋装置(100)、照蛋装置(200)、移蛋装置(300)、卸蛋装置(400)以及计算机视觉模块(500)、控制系统模块(600);送蛋装置(100)、照蛋装置(200)、移蛋装置(300)和卸蛋装置(400)依次连接;照蛋装置(200)、计算机视觉模块(500)、控制系统模块(600)和卸蛋装置(400)依次连接。本实用新型设计合理可行、操作简便,效果明显,可应用到其他的农产品检测中,具有良好的应用推广前景。
The utility model discloses an automatic detection and sorting device for poultry egg quality, which relates to the technical field of poultry egg detection. The equipment includes an egg feeding device (100), an egg picking device (200), an egg moving device (300), an egg unloading device (400), a computer vision module (500), a control system module (600); an egg feeding device (100 ), the egg candling device (200), the egg moving device (300) and the egg unloading device (400) are connected in sequence; the egg candling device (200), the computer vision module (500), the control system module (600) and the egg unloading device ( 400) to connect in sequence. The utility model has the advantages of reasonable and feasible design, convenient operation and obvious effect, can be applied to other agricultural product detection, and has a good prospect of application and popularization.
Description
技术领域 technical field
本实用新型涉及禽蛋检测技术领域,尤其涉及一种禽蛋品质自动检测分选设备。具体地说,本实用新型是一种包括蛋品传输的硬件和蛋品检测分选的软件控制系统于一体的设备,实现快速准确地识别禽蛋的内部及外部品质并自动分选,为合格蛋品进入市场提供了一种绿色检测设备。The utility model relates to the technical field of poultry egg detection, in particular to an automatic detection and sorting equipment for poultry egg quality. Specifically, the utility model is a device that integrates the hardware for egg transmission and the software control system for egg detection and sorting, which can quickly and accurately identify the internal and external quality of poultry eggs and automatically sort them. A green detection device is provided in the market.
背景技术 Background technique
常见禽蛋有鸡蛋、鸭蛋与鹅蛋,除了鲜蛋外,禽蛋还可以腌制成咸蛋与皮蛋,做成熟蛋、卤蛋等。我国是禽蛋生产与消费大国,禽蛋品质检测关系到国民经济利益与消费者健康,特别是高效禽蛋品质检测技术的市场需求尤为迫切。Common poultry eggs include hens, duck eggs and goose eggs. In addition to fresh eggs, poultry eggs can also be marinated into salted eggs and preserved eggs, as well as mature eggs and marinated eggs. my country is a big country in the production and consumption of poultry eggs, and poultry egg quality testing is related to national economic interests and consumer health, especially the market demand for high-efficiency poultry egg quality testing technology is particularly urgent.
有关蛋品检测技术一直是研究热点:Egg detection technology has always been a research hotspot:
1、利用禽蛋的气味特性、声学特性来检测禽蛋品品质1. Use the odor characteristics and acoustic characteristics of poultry eggs to detect the quality of poultry eggs
“一种利用挥发物的禽蛋新鲜度检测装置及方法”(CN101419212A)和“一种利用挥发物的禽蛋裂纹检测装置及方法”(CN101419213A)分别公开了一种利用挥发物的禽蛋新鲜度及裂纹检测装置,利用好蛋和裂纹蛋挥发物的不同来鉴别两种蛋;“一种禽蛋细小裂纹的敲击检测装置及方法”(CN101419196A)公开了一种利用敲击响应信号的禽蛋裂纹检测装置。以上专利均是静态检测,无法满足在线检测的需要。"A device and method for detecting poultry egg freshness using volatile matter" (CN101419212A) and "A device and method for detecting poultry egg cracks using volatile matter" (CN101419213A) respectively disclose a freshness method for poultry eggs using volatile matter. The device uses the difference between the volatile matter of good eggs and cracked eggs to identify two kinds of eggs; "A device and method for detecting small cracks in poultry eggs" (CN101419196A) discloses a poultry egg using a tapping response signal. Egg crack detection device. The above patents are all static detection, which cannot meet the needs of online detection.
2、利用禽蛋的光学特性来检测禽蛋品品质2. Use the optical characteristics of poultry eggs to detect the quality of poultry eggs
“自动选蛋机”(CN86105958)公开了该机用平行光对蛋进行扫描,光接收器将被照蛋透过的光信号转化为电信号,通过电压比较、译码,得到不同蛋质的判别结果。该机技术核心是光电技术,且是逐个照蛋逐个分选,工作效率不高。"Automatic Egg Sorting Machine" (CN86105958) discloses that the machine uses parallel light to scan eggs, and the light receiver converts the light signal transmitted by the illuminated egg into an electrical signal, and compares and decodes the voltage to obtain different egg quality. Discrimination result. The core technology of this machine is photoelectric technology, and the eggs are sorted one by one, so the work efficiency is not high.
3、利用计算机视觉技术来检测禽蛋品质3. Using computer vision technology to detect poultry egg quality
“禽蛋尺寸及蛋形指数的检测方法”(CN101509761A)公开了一种禽蛋体积和表面积的检测方法,“用于禽蛋尺寸与蛋形指数及重量同时检测的方法”(CN1934935A)公开了一种禽蛋尺寸及蛋形指数及重量同时检测的方法,这两种方法主要是利用禽蛋图像来计算其外型参数以及一些图像处理算法,且并未涉及禽蛋内部品质检测;“一种禽蛋表面品质检测的方法及装置”(CN1804620)利用计算机视觉技术和声学技术,检测禽蛋裂纹、污斑、畸形等表面品质,该发明只是在传送线上采集禽蛋的动态信号,最后仅显示出等级的判别结果,未能真正实现蛋品的机械自动分选。"Detection method of poultry egg size and egg shape index" (CN101509761A) discloses a detection method of poultry egg volume and surface area, "method for simultaneous detection of poultry egg size, egg shape index and weight" (CN1934935A) discloses A method for simultaneous detection of poultry egg size, egg shape index and weight, these two methods mainly use poultry egg images to calculate its appearance parameters and some image processing algorithms, and do not involve poultry egg internal quality detection; "a Method and device for detecting surface quality of poultry eggs" (CN1804620) uses computer vision technology and acoustic technology to detect surface quality such as cracks, stains, and deformities of poultry eggs. This invention only collects dynamic signals of poultry eggs on the transmission line, and finally It only shows the grade discrimination result, but fails to realize mechanical automatic sorting of eggs.
上述对禽蛋品质的检测,要么技术单一,要么检测对象限定为禽蛋外部品质。经检索,尚未发现有关检测禽蛋内部及外部品质的绿色禽蛋检测技术及分选设备应用于生产实际。The above-mentioned detection of poultry egg quality either has a single technology, or the detection object is limited to the external quality of poultry eggs. After searching, it has not been found that the green poultry egg detection technology and sorting equipment related to the internal and external quality of poultry eggs are used in actual production.
发明内容 Contents of the invention
本实用新型的目的就在于克服现有技术存在的缺点和不足,提供一种禽蛋品质自动检测分选设备。The purpose of the utility model is to overcome the shortcomings and deficiencies of the prior art, and provide an automatic detection and sorting equipment for poultry egg quality.
本实用新型的目的是这样实现的:The purpose of this utility model is achieved in that:
运用计算机视觉技术和机械执行机构相配合,通过一系列的动态图像处理及模式识别,实现对禽蛋内部及外部品质智能、无损检测并自动分选,即采集群体禽蛋的动态图像,对图像分析处理后提取差异大的颜色特征、纹理特征及统计矩特征等表征不同品质蛋的参数,通过人工神经网络等方法建立判别模式,以此模式作为模板来检验蛋的品质。Using computer vision technology and mechanical actuators to cooperate, through a series of dynamic image processing and pattern recognition, to realize intelligent, non-destructive testing and automatic sorting of the internal and external quality of poultry eggs, that is, to collect dynamic images of group poultry eggs, and to image After analysis and processing, the color features, texture features and statistical moment features with large differences are extracted to characterize the parameters of different quality eggs, and the discriminant model is established by artificial neural network and other methods, and the model is used as a template to test the quality of eggs.
具体地说,本实用新型的技术方案如下:Specifically, the technical scheme of the utility model is as follows:
一、禽蛋品质自动检测分选设备(简称设备)1. Automatic detection and sorting equipment for poultry egg quality (equipment for short)
本设备包括送蛋装置、照蛋装置、移蛋装置、卸蛋装置以及计算机视觉模块和控制系统模块;This equipment includes egg delivery device, egg candling device, egg transfer device, egg unloading device, computer vision module and control system module;
送蛋装置、照蛋装置、移蛋装置和卸蛋装置依次连接;Egg delivery device, egg candling device, egg transfer device and egg unloading device are connected sequentially;
照蛋装置、计算机视觉模块、控制系统模块和卸蛋装置依次连接。The egg candling device, computer vision module, control system module and egg unloading device are connected in sequence.
二、禽蛋品质自动检测分选方法(简称方法)2. Automatic detection and sorting method of poultry egg quality (method for short)
本方法包括下列步骤:This method comprises the following steps:
①由蛋场经验丰富的工人师傅通过人工照蛋精心挑选各种品质的禽蛋(如好蛋、次蛋、坏蛋等)若干枚;① A number of poultry eggs of various qualities (such as good eggs, second-grade eggs, bad eggs, etc.) are carefully selected by the experienced workers of the egg farm through artificial egg picking;
②把各类禽蛋放在蛋辊上,计算机视觉模块每次采集同一排的多枚禽蛋的动态图像,分类建立图像库,进行图像处理与分析,提取各类蛋的特征参数,建立判别模式,并进行模式检验与修正,最后将优化的模式保存于计算机;② Put all kinds of poultry eggs on the egg roller, and the computer vision module collects dynamic images of multiple poultry eggs in the same row each time, classifies and builds an image library, performs image processing and analysis, extracts the characteristic parameters of various eggs, and establishes a discrimination mode, and conduct mode inspection and correction, and finally save the optimized mode in the computer;
③另外再挑选与建模样品蛋同样的几类禽蛋各若干枚,每类禽蛋用铅笔做好数字标记1、2、3等;③ In addition, select several types of poultry eggs that are the same as the modeling sample eggs, and use a pencil to mark each type of poultry eggs with numbers 1, 2, 3, etc.;
④把各类禽蛋随机混合,放置于送蛋装置的蛋辊上,让其随蛋辊向右运动;④ Randomly mix all kinds of poultry eggs, place them on the egg roller of the egg feeding device, and let it move to the right with the egg roller;
⑤光电传感器感应到第一排禽蛋到达的信号,立即触发摄像头采集图像,并送入计算机分析处理,用步骤②建立的模式进行判别,计算机将判别结果暂存;⑤The photoelectric sensor senses the arrival signal of the first row of poultry eggs, and immediately triggers the camera to collect the image, and sends it to the computer for analysis and processing, and uses the model established in step ② to make a judgment, and the computer temporarily stores the judgment result;
⑥送蛋装置把第一排禽蛋送至传送线右端尽头,移蛋装置通过平行四杆的平面运动,将蛋用其上的水平横杆托起,送往与送蛋方向垂直的横向通道顶端;⑥The egg delivery device sends the first row of poultry eggs to the end of the right end of the transmission line, and the egg removal device uses the horizontal bar on the horizontal bar to hold up the eggs through the plane movement of the parallel four bars, and sends them to the horizontal channel perpendicular to the direction of egg delivery top;
⑦计算机根据安装在平行四杆连杆两侧的光电传感器感应到的禽蛋到达信号,给卸蛋装置发布卸蛋指令;⑦The computer issues an egg unloading command to the egg unloading device according to the arrival signal of poultry eggs sensed by the photoelectric sensors installed on both sides of the parallel four-bar connecting rod;
⑧卸蛋装置的电磁铁受控制系统模块控制,于得电状态下顶起杠杆右端,导致杠杆翘起将杠杆左端的禽蛋卸下,滚落对应的蛋品等级通道;⑧The electromagnet of the egg unloading device is controlled by the control system module. When it is powered on, it lifts up the right end of the lever, causing the lever to lift up and unload the poultry eggs at the left end of the lever, and roll down the corresponding egg grade channel;
⑨其他排的禽蛋的检测与分选重复步骤④~步骤⑧的操作。⑨Repeat steps ④ to ⑧ for detection and sorting of poultry eggs in other rows.
本实用新型的工作原理:Working principle of the utility model:
本实用新型利用工业摄像头拍摄传送蛋辊上的禽蛋群体图像并进行模式识别,将判别结果反馈给执行机构并动作,从而把各种蛋分级检出。The utility model uses an industrial camera to take images of groups of poultry eggs on the egg roller and conducts pattern recognition, and feeds back the discrimination results to the executive mechanism for action, thereby classifying and detecting various eggs.
将禽蛋置于送蛋装置的传送蛋辊上,由控制系统模块的光电传感器感应禽蛋到达的信号,触发摄像头摄像,计算机对图像进行模式识别后将结果暂存,安装在平行四杆连杆左右两侧的光电传感器感应连杆的摆动次数,通过多功能数据采集卡统计其计数信号,将结果反馈给控制系统,通过电磁铁的得电时的上升动作将放蛋的杆件顶起,从而蛋从相应位置滚入对应通道,达到分级的目的。本实用新型实现了用机器代替人眼,实现禽蛋的无损自动检测并分选,适用于蛋品加工及品质检测行业。Put the poultry eggs on the egg delivery roller of the egg delivery device, the photoelectric sensor of the control system module senses the arrival signal of the poultry eggs, triggers the camera to take pictures, and the computer performs pattern recognition on the images and stores the results temporarily, and installs them in the parallel four-bar linkage. The photoelectric sensors on the left and right sides of the rod sense the swing times of the connecting rod, count the counting signal through the multi-function data acquisition card, and feed back the result to the control system, and lift up the rod for placing eggs through the rising action of the electromagnet when it is energized , so that the egg rolls from the corresponding position into the corresponding channel to achieve the purpose of grading. The utility model realizes the use of machines instead of human eyes to realize the non-destructive automatic detection and sorting of poultry eggs, and is suitable for egg processing and quality detection industries.
本实用新型具有下列优点和积极效果:The utility model has the following advantages and positive effects:
1、通过采用在平行四杆的连杆两侧安装光电传感器,实现对要分级的蛋的准确定位,比常规延时操作更加精准。1. By installing photoelectric sensors on both sides of the parallel four-bar connecting rod, the accurate positioning of the eggs to be graded is realized, which is more accurate than the conventional time-delay operation.
2、把蛋品群体动态图像的高效处理及模式判别与机械自动分选有效结合。2. Effectively combine the efficient processing and pattern discrimination of dynamic images of egg groups with mechanical automatic sorting.
3、通过对咸鸭蛋检测与分选的试验证明,该方法与设备检测正确率达95%。3. The test of salted duck eggs detection and sorting proves that the detection accuracy rate of this method and equipment reaches 95%.
试验证明本实用新型的设计合理可行、操作简便,效果明显,可应用到其他的农产品检测中,具有良好的应用推广前景。The test proves that the design of the utility model is reasonable and feasible, the operation is simple and convenient, and the effect is obvious.
附图说明 Description of drawings
图1是本设备的结构方框图;Fig. 1 is the structural block diagram of this equipment;
图2是本设备主要硬件分布示意图(俯视);Figure 2 is a schematic diagram of the main hardware distribution of the device (top view);
图3是送蛋装置的结构示意图;Fig. 3 is a structural schematic diagram of an egg feeding device;
图4是照蛋装置和视觉模块的结构示意图;Fig. 4 is a structural schematic diagram of an egg candling device and a vision module;
图5是移蛋装置的结构示意图;Fig. 5 is a schematic structural view of the egg removal device;
图6是卸蛋装置的结构示意图;Fig. 6 is the structural representation of egg unloading device;
图7是计算机视觉模块流程图;Fig. 7 is a computer vision module flowchart;
图8是软件控制系统总流程图。Fig. 8 is a general flowchart of the software control system.
其中:in:
100-送蛋装置,100 - egg delivery device,
110-机架,120-双锥蛋辊,130-链,140-链轮;110-frame, 120-double cone egg roller, 130-chain, 140-sprocket;
200-照蛋装置200-according device
210-光源架,220-光源,230-光室;210-light source frame, 220-light source, 230-light chamber;
300-移蛋装置300-egg removal device
310-蛋托,320-平行四杆,330-小链轮,340-链,310-Egg Tray, 320-Parallel Four, 330-Small Sprocket, 340-Chain,
350-偏心大链轮,360-张紧轮,370-弹簧;350-eccentric large sprocket, 360-tensioner, 370-spring;
400-卸蛋装置400-egg unloading device
410-杠杆,420-蛋品通道;410-lever, 420-egg channel;
500-计算机视觉模块500-Computer Vision Module
510-摄像头,520-图像采集卡,530-计算机;510-camera, 520-image acquisition card, 530-computer;
600-控制系统模块,600-control system module,
610-传感器,610-sensor,
611-触发传感器,612-计数传感器;611-trigger sensor, 612-count sensor;
620-多功能数据采集卡,630-继电器板卡,640-电磁铁。620-multi-function data acquisition card, 630-relay board, 640-electromagnet.
具体实施方式Detailed ways
下面结合附图和实施例详细说明:Below in conjunction with accompanying drawing and embodiment describe in detail:
本实施例试验样品蛋由湖北省蛟龙蛋品公司提供,根据厂家要求将咸鸭蛋分为4类:好蛋、未腌够蛋、退容散黄蛋和黑黄蛋(腐败变质蛋)。The test sample eggs of this embodiment are provided by Jiaolong Egg Products Company of Hubei Province, and the salted duck eggs are divided into 4 categories according to the manufacturer's requirements: good eggs, unsalted eggs, decongested yellow eggs and black yellow eggs (rotten eggs).
一、设备1. Equipment
1、总体1. Overall
如图1、2,本设备包括送蛋装置100、照蛋装置200、移蛋装置300、卸蛋装置400以及计算机视觉模块500、控制系统模块600;As shown in Figures 1 and 2, this equipment includes an
送蛋装置100、照蛋装置200、移蛋装置300和卸蛋装置400依次连接;
照蛋装置200、计算机视觉模块500、控制系统模块600和卸蛋装置400依次连接。The
2、功能块2. Function block
1)送蛋装置1001)
如图3,送蛋装置100为一种链传动机械,包括机架110、蛋辊120、链130、链轮140、蛋辊轴150;As shown in Figure 3, the
在机架110上下的左右支点上设置有链轮140,链130包裹链轮140组成传送带,在链130上设置有蛋辊120和蛋辊轴150。A
工作原理:working principle:
每一排蛋辊120放咸鸭蛋3枚;运行时,外在动力带动链轮140转动,链轮140带动链130及其上的蛋辊轴150作循环运动,蛋辊轴150带动其上的蛋辊120运动,蛋辊120带着咸鸭蛋沿着传送线运动。Each row of
2)照蛋装置2002)
如图4,照蛋装置200包括光源架210、光源220、密闭光室230;As shown in Figure 4, the
光源220设置在上下两层蛋辊120中间,光向朝上;The
设置在上层蛋辊120上方的光室230是一方形盒,其顶面中间有一小圆孔。The
3)移蛋装置3003)
如图5,移蛋装置300设置在送蛋装置100最右端且与之垂直的位置,包括蛋托310、平行四杆320、小链轮330、链340、偏心大链轮350、张紧轮360和弹簧370;As shown in Figure 5, the
链340包裹在左端小链轮330和右端偏心大链轮350上组成传动机构,张紧轮360通过弹簧370压紧在链340的上面;平行四杆320的左竖杆的下端和小链轮330连接,平行四杆320的上横杆上设置有蛋托310。The
工作原理:working principle:
偏心大链轮350做匀速转动,通过链340的传动和张紧轮360的压紧,带动小链轮330做变速转动,使和小链轮330连接的平行四杆320也做变速转动,上横杆上设置的蛋托310,将其上端的咸鸭蛋横向传送。The large
4)卸蛋装置4004)
如图6、2,卸蛋装置400包括杠杆机构410和蛋品收集通道420;As shown in Figures 6 and 2, the
12个杠杆机构410与移蛋方向垂直,且等距安装在移蛋装置300的平行四杆320的上方,每个杠杆机构410对应一个蛋品收集通道420,运作时杠杆一头是禽蛋,另一头下方是电磁铁640。蛋品等级通道420收集各类因电磁铁640顶起杠杆而滚落的蛋。12
5)计算机视觉模块5005) Computer vision module 500
如图1、4,计算机视觉模块500包括依次连接的摄像头510、图像采集卡520和计算机530;摄像头530固定在光室230上方,摄像头530的镜头伸进到光室230顶上的小孔中,视场角设计为40°。As shown in Figures 1 and 4, the computer vision module 500 includes a
6)控制系统模块6006) Control system module 600
如图1,控制系统模块600包括依次连接的(2个)光电传感器610、(1个)多功能数据采集卡620、(1个)继电器板卡630和(多个)电磁铁640;As shown in Figure 1, the control system module 600 includes (2) photoelectric sensors 610, (1) multi-function data acquisition card 620, (1) relay board 630 and (multiple)
光电传感器610包括触发传感器611和计数传感器612;The photoelectric sensor 610 includes a
触发传感器611安装在光室230内部靠近进蛋的方向,用来感应进入光室230的蛋位置并触发摄像头530摄像;计数传感器612装在平行四杆320的连杆两侧,用来感应连杆摆动的次数,以对各类蛋的分级位置精确定位;每一个电磁铁640对应安装在一个通道始端的杠杆下方。The
二、方法2. Method
1、计算机视觉模块流程1. Computer vision module process
如图7,计算机视觉模块流程是:As shown in Figure 7, the computer vision module process is:
①传感器感应蛋到达光室71;①The sensor senses that the egg reaches the light chamber 71;
②摄像头采集群体禽蛋图像72;② The camera collects group poultry egg images 72;
③图像采集卡传输数据给计算机73;③ The image acquisition card transmits data to the
④计算机分析处理图像74;④Computer analysis and processing image 74;
⑤计算机进行模式识别75。⑤ The computer conducts pattern recognition 75 .
2、软件控制系统总流程2. The overall flow of the software control system
如图8,软件控制系统总流程是As shown in Figure 8, the overall flow of the software control system is
①开始81;①Start 81;
②触发采集一帧群体禽蛋图像82;② Trigger to collect a frame of group poultry egg image 82;
③群体禽蛋图像预处理83;③ group poultry egg image preprocessing 83;
④群体禽蛋图像特征提取84;④ Group egg image feature extraction 84;
⑤群体禽蛋图像分割、定位85;⑤ Group poultry egg image segmentation and positioning 85;
⑥群体禽蛋图像特征提取86;⑥ Group egg image feature extraction 86;
⑦群体禽蛋图像品质分级87;⑦ Group poultry egg image quality classification 87;
⑧群体禽蛋图像级别储存、进入减计数分级线程88;8. Group poultry egg image level storage, enter the decrement counting and grading thread 88;
⑨判断传感器减计数是否到零89,是则进入下一步骤,否则转跳到步骤①;⑨Judge whether the countdown of the sensor reaches 89, if yes, go to the next step, otherwise go to step ①;
⑩启动驱动对应电磁铁动作线程(先吸合、延时、断开)90。⑩Start the drive corresponding to the electromagnet action thread (first pull, delay, disconnect) 90.
三、检测结果3. Test results
参照实验的图像特征参数散点图和表1,图像特征参数选取几类蛋差异较大的颜色参数(R、G、B、V)、纹理参数(GW1、BW1、BW4)、统计矩参数(平均亮度、平均对比度、一致性)。建模采用BP神经网络模式,该BP网路采用三层前馈结构,分别为输入层、隐含层和输出层。输入层的节点数等于指标数(颜色、纹理以及三个统计矩特征)10,输出层有4个节点(对应于不同的4类咸鸭蛋编码1000、0100、0010、0001),隐含层的节点数确定为18,其由经验公式确定。Referring to the scatter diagram and Table 1 of the image feature parameters of the experiment, the image feature parameters are selected from color parameters (R, G, B, V), texture parameters (GW1, BW1, BW4), statistical moment parameters ( average brightness, average contrast, uniformity). Modeling adopts the BP neural network mode, and the BP network adopts a three-layer feed-forward structure, which are input layer, hidden layer and output layer. The number of nodes in the input layer is equal to the number of indicators (color, texture and three statistical moment features) 10, the output layer has 4 nodes (corresponding to different 4 types of salted duck egg codes 1000, 0100, 0010, 0001), and the hidden layer The number of nodes is determined to be 18, which is determined by an empirical formula.
表14类咸鸭蛋的统计矩参数Statistical moment parameters of table 14 class salted duck eggs
经检验,模式判别正确率达95%,并且没有退容散黄蛋和黑黄蛋被错判为好蛋,达到蛋品企业生产要求。After inspection, the correct rate of mode discrimination is 95%, and no loose yolk eggs and black yolk eggs are misjudged as good eggs, which meets the production requirements of egg products enterprises.
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Cited By (7)
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| CN102179374A (en) * | 2010-12-23 | 2011-09-14 | 华中农业大学 | Automatic detecting and sorting device for poultry egg quality and method thereof |
| CN103026984A (en) * | 2012-12-12 | 2013-04-10 | 华中农业大学 | Visual inspection grading device and method for survival rates of eggs incubated in groups |
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| CN110663584A (en) * | 2019-10-25 | 2020-01-10 | 西华大学 | Poultry egg screening and grading system |
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| CN102179374A (en) * | 2010-12-23 | 2011-09-14 | 华中农业大学 | Automatic detecting and sorting device for poultry egg quality and method thereof |
| CN102179374B (en) * | 2010-12-23 | 2013-01-09 | 华中农业大学 | Automatic detecting and sorting device for poultry egg quality and method thereof |
| CN103101326A (en) * | 2012-12-10 | 2013-05-15 | 海宁伊满阁太阳能科技有限公司 | Agricultural product laser marking device provided with image identifying system |
| CN103026984A (en) * | 2012-12-12 | 2013-04-10 | 华中农业大学 | Visual inspection grading device and method for survival rates of eggs incubated in groups |
| CN103109754A (en) * | 2013-02-28 | 2013-05-22 | 华中农业大学 | Online nondestructive inspection and sorting equipment and online nondestructive inspection and sorting method for eggs with blood spots |
| CN103109754B (en) * | 2013-02-28 | 2014-07-09 | 华中农业大学 | Online nondestructive inspection and sorting equipment and online nondestructive inspection and sorting method for eggs with blood spots |
| CN103240227A (en) * | 2013-05-17 | 2013-08-14 | 苏州福丰科技有限公司 | Saw blade sorting device capable of distinguishing by images |
| CN103521464A (en) * | 2013-10-25 | 2014-01-22 | 华中农业大学 | Method and device for identification and separation of yolk-dispersed eggs based on machine vision |
| CN103521464B (en) * | 2013-10-25 | 2015-12-02 | 华中农业大学 | Based on the addled egg identification of machine vision and separation method and device |
| CN110663584A (en) * | 2019-10-25 | 2020-01-10 | 西华大学 | Poultry egg screening and grading system |
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