CN106000912A - Citrus cyst foreign matter removing system based on machine vision guidance - Google Patents
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Abstract
Description
技术领域 technical field
本发明专利涉及水果囊胞异物检测领域,特别涉一种基于机器视觉导引实现柑橘囊胞异物剔除系统。 The patent of the present invention relates to the field of fruit cyst foreign matter detection, in particular to a system for removing foreign matter from citrus cysts based on machine vision guidance.
背景技术 Background technique
近几年,我国果汁饮料行业发展迅速,产值增长速度均超过GDP的增长速度。良好的发展前景,加之整个行业市场化程度较高,吸引了国际饮料巨头纷纷进入,行业竞争也异常激烈。然而要想在这个行业上占有一席之地,产品的质量必须得到保证。柑橘囊胞是制作果汁的农产品之一,我们通过加工柑橘得到囊胞的过程中,难免会引入囊衣、橙核、毛发以及可见颗粒等一系列异物。所以在果汁装罐之前必须进行囊胞异物剔除这一工序,以保证得到的果汁干净可口,满足大众的消费要求。 In recent years, my country's fruit juice beverage industry has developed rapidly, and the growth rate of output value has exceeded the growth rate of GDP. The good development prospects and the high degree of marketization of the entire industry have attracted international beverage giants to enter one after another, and the competition in the industry is also extremely fierce. However, in order to have a place in this industry, the quality of the product must be guaranteed. Citrus cysts are one of the agricultural products for making fruit juice. During the process of processing citrus to obtain cysts, it is inevitable to introduce a series of foreign substances such as capsule coating, orange core, hair and visible particles. Therefore, the process of removing cystic foreign matter must be carried out before the juice is canned, so as to ensure that the obtained juice is clean and delicious, and meets the consumption requirements of the public.
然而,目前我国并没有现成的设备能够完成这一工序,大多数公司柑橘囊胞异物检测线主要采用目视判断人工剔除的工作方式。该方式存在效率低、漏检率高、成本高等不足,并且检测效果也容易受员工的心情、身体状态等因素影响。随着劳动力资源的日趋紧张,这些问题也日显突出。为此,提出一种基于机器视觉导引的自动检测系统,以克服上述问题。 However, at present, there is no ready-made equipment in my country that can complete this process, and most companies' citrus cyst foreign body detection lines mainly use the working method of visual judgment and manual removal. This method has shortcomings such as low efficiency, high missed detection rate, and high cost, and the detection effect is also easily affected by factors such as the mood and physical state of employees. With the increasingly tight labor resources, these problems have become increasingly prominent. For this reason, an automatic detection system based on machine vision guidance is proposed to overcome the above problems.
发明内容 Contents of the invention
本发明专利的目的在于针对人工检测存在效率低、漏检率高以及成本高等不足,提出一种基于机器视觉导引实现柑橘囊胞异物剔除的系统。该系统结构简单、操作简单,有检测范围大、效率高、精度高等优点。 The purpose of the patent of the present invention is to propose a system based on machine vision guidance to remove foreign matter from citrus cysts in view of the shortcomings of manual detection such as low efficiency, high missed detection rate and high cost. The system has the advantages of simple structure, simple operation, large detection range, high efficiency and high precision.
为了实现上述要求,本发明专利采用以下技术方案: In order to achieve the above requirements, the patent of the present invention adopts the following technical solutions:
一种基于机器视觉导引实现柑橘囊胞异物剔除系统,其特征在于:包含机械系统、视觉测量导引系统和控制系统,所述机械系统包括框架、用于输送柑橘囊胞的输送装置、以及用于剔除柑橘囊胞异物的剔除装置,所述剔除装置包括运动平移台和设于运动平移台上端的异物吸取装置,所述运动平移台可在输送装置上方水平移动,所述异物吸取装置包括依次相连的吸嘴、真空发生器以及可伸缩的气缸,所述吸嘴还通过真空发生器与异物收集箱相连,所述视觉测量导引系统包括光源、相机组、图像数据采集卡,所述相机组包括预处理相机和引导相机,所述输送装置按照柑橘囊胞运动方向分为预检测区和检测剔除区,所述预处理相机设于预检测区上方,所述引导相机和异物吸取装置固定相连设于检测剔除区,所述控制系统包括工控机和PLC,所述预处理相机和引导相机采集的信号通过图像数据采集卡处理后接入工控机,所述工控机通过PLC控制输送装置、光源和相机组的开启、运动平移台的运动以及异物吸取装置的动作。 A system for removing foreign matter from citrus cysts based on machine vision guidance, characterized in that it includes a mechanical system, a visual measurement guidance system and a control system, the mechanical system includes a frame, a delivery device for transporting citrus cysts, and A rejecting device for removing foreign matter from citrus cysts, the rejecting device includes a moving translation platform and a foreign matter suction device arranged on the upper end of the moving translation platform, the moving translation platform can move horizontally above the conveying device, and the foreign matter suction device includes Suction nozzles, vacuum generators and retractable cylinders are connected in sequence, and the suction nozzles are also connected to the foreign matter collection box through the vacuum generators. The visual measurement guidance system includes a light source, a camera group, and an image data acquisition card. The camera group includes a pre-processing camera and a guiding camera. The conveying device is divided into a pre-detection area and a detection and rejection area according to the moving direction of citrus cysts. The pre-processing camera is arranged above the pre-detection area. Fixedly connected in the detection and rejection area, the control system includes an industrial computer and a PLC, the signals collected by the preprocessing camera and the guide camera are processed by the image data acquisition card and then connected to the industrial computer, and the industrial computer controls the conveying device through the PLC , the opening of the light source and camera group, the movement of the moving translation platform and the action of the foreign matter suction device.
作为改进,所述输送装置设于框架上,所述输送装置包括主动滚轮、从动滚轮、连接主动滚轮和从动滚轮的传输带、以及驱动主动滚轮的驱动电机,所述柑橘囊胞通过传输带进行输送,所述传输带为透明皮带。 As an improvement, the conveying device is arranged on the frame, and the conveying device includes driving rollers, driven rollers, a transmission belt connecting the driving rollers and driven rollers, and a drive motor driving the driving rollers, and the citrus cysts are transported The belt is transported, and the transmission belt is a transparent belt.
作为改进,所述主动滚轮的联轴器上设有用于测量转速的旋转编码器,所述旋转编码器检测信号接入PLC,可以实时监测主动滚轮传输速度,并通过PLC控制传输带的输送速度。 As an improvement, the coupling of the active roller is provided with a rotary encoder for measuring the rotational speed, and the detection signal of the rotary encoder is connected to the PLC, which can monitor the transmission speed of the active roller in real time, and control the conveying speed of the conveyor belt through the PLC .
作为改进,所述输送装置首末两端分别设有用于检测柑橘囊胞进入和离开传输带的光纤传感器,所述光纤传感器信号接入工控机,可以准确的判断柑橘囊胞是否进入和离开传输带,以便精准的对柑橘囊胞进行检测和剔除。 As an improvement, the first and last ends of the conveying device are respectively provided with optical fiber sensors for detecting the citrus cysts entering and leaving the conveyor belt, and the signals of the optical fiber sensors are connected to the industrial computer to accurately judge whether the citrus cysts enter and leave the transmission belt. belt for accurate detection and removal of citrus cysts.
作为改进,所述剔除装置有多个,所述多个剔除装置在传输带方向上呈线性阵列分布,所述每一个剔除装置的异物吸取装置均固定相连有引导相机,多个剔除装置同时工作,加快异物剔除速度,有效防止了漏检漏剔除。 As an improvement, there are multiple rejecting devices, and the multiple rejecting devices are distributed in a linear array in the direction of the conveyor belt. The foreign matter suction device of each rejecting device is fixedly connected with a guide camera, and multiple rejecting devices work simultaneously. , to speed up the removal of foreign matter, effectively preventing missed detection and rejection.
本发明专利的有益效果是:本发明是基于机器视觉导引实现柑橘囊胞异物剔除的系统,利用视觉测量导引系统采集图片,传送给工控机分析,通过运动平移台和气缸的联合动作,引导吸嘴将异物剔除。达到了智能检测及剔除异物的目的,克服了现有人工检测的效率低、成本高的缺点。与人工检测相比,操作简单,漏检率低,效率高以及精度高。 The beneficial effects of the patent of the present invention are: the present invention is based on machine vision guidance to realize the system for removing foreign matter in citrus cysts. The visual measurement guidance system is used to collect pictures and transmit them to the industrial computer for analysis. Through the joint action of the moving translation platform and the cylinder, Guide the suction nozzle to remove foreign objects. The purpose of intelligent detection and removal of foreign matter is achieved, and the shortcomings of low efficiency and high cost of existing manual detection are overcome. Compared with manual detection, the operation is simple, the missed detection rate is low, the efficiency is high and the precision is high.
人工检测柑橘囊胞的速度一般为0.6平方米每分钟,而机器视觉系统检测速度可达 5平方米每分钟,机器视觉系统的异物剔除速度是人工的 6~8 倍,极大提高了生产效率。 The speed of manual detection of citrus cysts is generally 0.6 square meters per minute, while the detection speed of the machine vision system can reach 5 square meters per minute. The speed of foreign matter removal by the machine vision system is 6 to 8 times that of manual labor, which greatly improves production efficiency .
人工检测由于环境和生理的原因,无法不间断地进行柑橘囊胞异物检测和剔除,而采用机器视觉系统检测则使其成为可能。设备的生产时间可最大限度地延长,提高了设备的利用率。 Due to environmental and physiological reasons, manual detection cannot continuously detect and remove citrus cyst foreign bodies, but the use of machine vision system detection makes it possible. The production time of the equipment can be extended to the maximum extent, which improves the utilization rate of the equipment.
人工检测由于视觉易疲劳,很难连续观察柑橘囊胞。检测正确率靠人工很难保证,机器视觉系统的检测精度较高,从而大大提高产品合格率以及检测质量。 Manual detection is difficult to observe citrus cysts continuously due to visual fatigue. It is difficult to guarantee the correct detection rate by manual work. The detection accuracy of the machine vision system is high, which greatly improves the product qualification rate and detection quality.
附图说明 Description of drawings
图1为本发明的结构示意图; Fig. 1 is a structural representation of the present invention;
图2为本发明系统组成图框图; Fig. 2 is a block diagram of the composition of the system of the present invention;
图3为本发明工作流程图; Fig. 3 is a work flowchart of the present invention;
图4为基于图像的视觉伺服系统; Fig. 4 is an image-based visual servo system;
图5为视觉伺服控制流程。 Figure 5 is the visual servoing control flow.
图1中,1万向轮,2框架,3主动滚轮,4传输带,5预处理相机,6引导相机,7,气缸,8真空发生器,9吸嘴,10异物收集箱,11工控机,12气管,13运动平移台,14导轨,15图像数据采集卡,16 IEEE1394B数据线,17 PLC,18电磁阀,19驱动器,20从动滚轮。 In Figure 1, 1 universal wheel, 2 frame, 3 driving roller, 4 conveyor belt, 5 preprocessing camera, 6 guiding camera, 7, cylinder, 8 vacuum generator, 9 suction nozzle, 10 foreign body collection box, 11 industrial computer , 12 trachea, 13 motion translation stage, 14 guide rail, 15 image data acquisition card, 16 IEEE1394B data line, 17 PLC, 18 solenoid valves, 19 drivers, 20 driven rollers.
具体实施方式 detailed description
为了便于本领域普通技术人员理解和实施本发明专利,下面结合附图及实施例对本发明专利作进一步的详细描述,应当理解,此处所描述的实施示例仅用于说明和解释本发明专利,并不用于限定本发明专利。 In order to facilitate those of ordinary skill in the art to understand and implement the patent of the present invention, the patent of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the patent of the present invention, and It is not used to limit the invention patent.
下面结合实施例和附图对本发明专利做进一步说明。 Below in conjunction with embodiment and accompanying drawing, the patent of the present invention is described further.
本发明是应用于柑橘囊胞异物剔除。主要以囊胞中混入的囊衣、橙核、毛发、纤维等异物为主,其中涉及到视觉识别、视觉导引、图像处理、机械传动、传感器等方面的技术。提出了一种利用机器视觉导引技术实现柑橘囊胞异物剔除的全新方案。 The invention is applied to the removal of foreign matter in citrus cysts. It mainly focuses on foreign matter such as capsule coat, orange nucleus, hair, and fiber mixed in the cyst, which involves technologies in visual recognition, visual guidance, image processing, mechanical transmission, and sensors. A new scheme for removing foreign bodies from citrus cysts by using machine vision guidance technology was proposed.
本系统的目的是代替生产线上人工进行柑橘囊胞异物剔除的操作,因为目前柑橘囊胞异物检测及剔除都是人工操作的,本系统达到了智能检测及剔除异物的目的,克服了现有人工检测的效率低、成本高的缺点。与人工检测相比,操作简单,漏检率低,效率高以及精度高。 The purpose of this system is to replace the manual removal of foreign matter in citrus cysts on the production line, because the detection and removal of foreign bodies in citrus cysts are currently performed manually. This system achieves the purpose of intelligent detection and removal of foreign bodies, overcoming the existing artificial The shortcomings of low detection efficiency and high cost. Compared with manual detection, the operation is simple, the missed detection rate is low, the efficiency is high and the precision is high.
如图1所示,一种基于机器视觉导引实现柑橘囊胞异物剔除系统,包含机械系统、视觉测量导引系统和控制系统三个主要部分。其中机械部分主要包含框架2、输送装置、剔除装置。运动平移台13负责携带气缸7、吸嘴9等执行机构移动到异物上方,气缸7负责驱动吸嘴9的上下移动以及异物吸取工作;视觉测量导引系统又由光源、相机组、图像数据采集卡15组成,承担囊胞中混入的囊衣、橙核、毛发、纤维等异物的识别任务;控制系统控制输送装置、光源和相机组的开启、运动平移台13的运动以及异物吸取装置的动作。 As shown in Figure 1, a citrus cyst foreign body removal system based on machine vision guidance includes three main parts: mechanical system, visual measurement guidance system and control system. The mechanical part mainly includes frame 2, conveying device and rejecting device. The motion translation platform 13 is responsible for carrying the actuators such as the cylinder 7 and the suction nozzle 9 to move above the foreign matter, and the cylinder 7 is responsible for driving the suction nozzle 9 to move up and down and absorbing foreign matter; the visual measurement guidance system is composed of a light source, a camera group, and image data collection. Composed of card 15, it is responsible for the identification of foreign matter such as capsule coat, orange core, hair, fiber, etc. mixed in the cyst; the control system controls the opening of the conveying device, light source and camera group, the movement of the moving translation platform 13, and the action of the foreign matter suction device .
所述输送装置按照柑橘囊胞运动方向分为预检测区和检测剔除区,所述相机组包含安装于预检测区的预处理相机5和安装于检测剔除区的一对引导相机6,预处理相机5主要检测柑橘囊胞是否有异物,引导相机6主要对异物进行实时跟踪与定位,配合剔除装置剔除异物; The conveying device is divided into a pre-detection area and a detection and rejection area according to the direction of movement of citrus cysts. The camera group includes a pre-processing camera 5 installed in the pre-detection area and a pair of guide cameras 6 installed in the detection and elimination area. The camera 5 mainly detects whether there are foreign objects in the citrus cysts, and guides the camera 6 to track and locate the foreign objects in real time, and cooperates with the rejecting device to remove the foreign objects;
所述图像数据采集卡15分别和所述相机组通过数据线缆相连,图像数据采集卡15与工控机11的图像处理单元相连;所述光纤传感器为对射式光纤传感器,对称布置于传输带的两侧的传感器支架上,光纤传感器的输出信号引入PLC 17,PLC 17还接入到光源和相机组。 The image data acquisition card 15 is respectively connected to the camera group by a data cable, and the image data acquisition card 15 is connected to the image processing unit of the industrial computer 11; the optical fiber sensor is a through-beam optical fiber sensor, symmetrically arranged on the transmission belt On the sensor brackets on both sides of the sensor, the output signal of the fiber optic sensor is introduced into the PLC 17. The PLC 17 is also connected to the light source and the camera group.
所述相机组的相机均用专用夹具安装在支架上,根据柑橘囊胞的尺寸及平铺的面积,选择镜头的焦距,调整拍摄相机的拍摄角度、拍摄距离、光圈大小、曝光时间,以便获取清晰的拍摄图像;根据设计,本实施例选用德国AVT公司的GuppyPro 125c彩色CCD相机,该相机分辨率为:1292*964,像元大小3.75um,最高满幅帧率为31FPS.相机镜头采用16mm工业定焦镜头。调整相机的高度(即物距),使相机的视野为420*313mm区域;此时,系统的像素分辨率为0.33mm/像素;理论最高采集速度为9.7m/s;考虑图像处理时间和机械动作时间,系统处理速度不低于500mm/s. The cameras of the camera group are all installed on the support with special fixtures, according to the size of the citrus cysts and the tiled area, the focal length of the lens is selected, and the shooting angle, shooting distance, aperture size, and exposure time of the shooting camera are adjusted, so as to obtain Clear shooting images; according to the design, this embodiment selects the GuppyPro 125c color CCD camera of German AVT Company for use. Industrial fixed focus lens. Adjust the height of the camera (that is, the object distance) so that the field of view of the camera is a 420*313mm area; at this time, the pixel resolution of the system is 0.33mm/pixel; the theoretical maximum acquisition speed is 9.7m/s; considering the image processing time and mechanical Action time, the system processing speed is not lower than 500mm/s.
所述输送装置包括主动滚轮3与从动滚轮20、与主动滚轮3相连的三相异步电动机、以及主动滚轮3和从动滚轮20之间的传输带4;所述传输带4是透明传输带,材质光滑,可以让柑橘囊胞平铺在传输带4上,内径宽约50 cm,最快流速10m/min;所述主动滚轮3上通过联轴器安装有旋转编码器,实时监测传输带的速度,旋转编码器的输出信号引入可编程控制器PLC 17。 Described delivery device comprises driving roller 3 and driven roller 20, the three-phase asynchronous motor that links to each other with driving roller 3, and the transmission belt 4 between driving roller 3 and driven roller 20; Described transmission belt 4 is a transparent transmission belt , and the material is smooth, allowing citrus cysts to be laid flat on the conveyor belt 4. The inner diameter is about 50 cm wide and the fastest flow rate is 10m/min; the driving roller 3 is equipped with a rotary encoder through a coupling to monitor the conveyor belt in real time The speed, the output signal of the rotary encoder is introduced into the programmable controller PLC 17.
所述剔除装置包括运动平移台13、气缸7、电磁阀18、真空发生器8、吸嘴9以及异物收集箱10,所述吸嘴9连接在真空发生器8下,依靠真空发生器8给予动力吸取异物,所述异物收集箱10通过气管与真空发生器8一侧相连,所述电磁阀18用来控制气缸7运动的。 The rejecting device includes a moving translation table 13, a cylinder 7, an electromagnetic valve 18, a vacuum generator 8, a suction nozzle 9 and a foreign matter collection box 10, and the suction nozzle 9 is connected under the vacuum generator 8, and relies on the vacuum generator 8 to provide The foreign matter is sucked by power, and the foreign matter collection box 10 is connected to one side of the vacuum generator 8 through an air pipe, and the electromagnetic valve 18 is used to control the movement of the cylinder 7 .
所述剔除装置在传输带4上成线性阵列分布,其在水平方向的运动范围被限制在一定范围内,各个剔除装置运行时互不影响。 The rejecting devices are distributed in a linear array on the conveyor belt 4, and their range of movement in the horizontal direction is limited within a certain range, and each rejecting device does not affect each other during operation.
基于机器视觉导引实现柑橘囊胞异物剔除的系统总体框图如图1所示。当囊胞随传输带4运动先后经过预检测区和检测剔除区。在预检测区,预处理相机5采集到图像后,通过IEEE1394B数据线16传输给工控机11,工控机11对当前图像进行处理和分析,提取异物特征和相应的坐标信息。PLC 17根据异物的横向坐标,驱动运动平移台13运动到相应位置,等待异物的到来。当异物进入引导相机6的视野后,引导相机6开始对异物进行实时跟踪与定位,锁定异物后,引导运动平移台13移动到异物的正上方,气缸7伸长,真空发生器8产生负压,吸嘴9剔除异物。 The overall block diagram of the system for removing foreign bodies from citrus cysts based on machine vision guidance is shown in Figure 1. When the cyst moves with the conveyor belt 4, it passes through the pre-detection area and the detection and rejection area successively. In the pre-detection area, after the image is collected by the pre-processing camera 5, it is transmitted to the industrial computer 11 through the IEEE1394B data line 16, and the industrial computer 11 processes and analyzes the current image to extract foreign object features and corresponding coordinate information. The PLC 17 drives the moving translation platform 13 to a corresponding position according to the lateral coordinates of the foreign matter, and waits for the arrival of the foreign matter. When a foreign object enters the field of view of the guiding camera 6, the guiding camera 6 starts to track and locate the foreign object in real time. After the foreign object is locked, the guiding motion translation table 13 moves directly above the foreign object, the cylinder 7 is extended, and the vacuum generator 8 generates negative pressure. , The suction nozzle 9 removes foreign matter.
系统的具体工作流程如图3所示:系统开始工作,各部分启动。旋转编码器测量传输带4和主动滚轮3的实时转速,PLC 17将其与设定值比较,如果不相符,PLC 17发出调整信号,变频器调整电机转速以调节传输带线速度;当布置在输送带旁边的光纤传感器探测到柑橘囊胞进入拍摄段时,产生一个电平信号触发光源频闪和相机拍摄柑橘囊胞的图像。 The specific workflow of the system is shown in Figure 3: the system starts to work, and each part starts. The rotary encoder measures the real-time speed of the conveyor belt 4 and the driving roller 3, and the PLC 17 compares it with the set value. If it does not match, the PLC 17 sends an adjustment signal, and the frequency converter adjusts the motor speed to adjust the linear speed of the conveyor belt; When the fiber optic sensor next to the conveyor belt detects that the citrus cysts enter the shooting section, a level signal is generated to trigger the strobe of the light source and the camera to capture images of the citrus cysts.
将异物从进入预处理相机5视野范围起,至到达收集箱10中作为一个工作周期。每个工作周期的具体流程为,预处理相机5摄取的图像经过图像数据采集卡15传入工控机11,由工控机11内的图像处理软件进行一系列的图像处理,工控机11检测出视野内所有的异物,并将异物坐标输入到数据库中。对数据库中的数据进行优化处理后,运动平移台13开始动作,准备迎接异物的到来。到达引导相机6拍摄区域时,引导相机6始终不断地采集图像,并将图像实时传输到工控机11中,工控机11检测视野内是否存在异物,如果不存在,此工作周期结束。如果存在异物,则发送指令,使运动平移台13跟随异物一起运动,锁定目标异物。此时,电磁阀18控制气缸7动作,气缸7驱动吸取机构伸长,吸嘴9通过真空发生器8产生负压,吸取异物。异物被剔除后,各机构复位。如此循环,直至引导相机6视野中没有异物。随后进入下一个工作周期。 From entering the field of view of the pre-processing camera 5 to the arrival of the foreign matter in the collection box 10 as a working cycle. The specific process of each work cycle is that the image captured by the preprocessing camera 5 is transferred to the industrial computer 11 through the image data acquisition card 15, and the image processing software in the industrial computer 11 performs a series of image processing, and the industrial computer 11 detects the field of view. All the foreign objects inside, and input the coordinates of the foreign objects into the database. After optimizing the data in the database, the motion translation platform 13 starts to move, ready to welcome the arrival of foreign objects. When arriving at the shooting area of the guiding camera 6, the guiding camera 6 continuously collects images and transmits the images to the industrial computer 11 in real time. The industrial computer 11 detects whether there is a foreign object in the field of view. If not, the working cycle ends. If there is a foreign object, an instruction is sent to make the moving translation platform 13 move along with the foreign object to lock the target foreign object. At this time, the electromagnetic valve 18 controls the action of the cylinder 7, and the cylinder 7 drives the suction mechanism to extend, and the suction nozzle 9 generates negative pressure through the vacuum generator 8 to suck foreign matter. After the foreign matter is removed, each mechanism resets. This loops until there is no foreign object in the field of view of the guiding camera 6 . Then enter the next working cycle.
需要详细说明的几点: A few points to elaborate on:
在检测区,所采用的基于图像的视觉伺服系统如图4所示。首先利用引导相机实时采集柑橘囊胞的图像,并提取相应的图像坐标和运动信息。进而采用基于图像的视觉伺服技术驱动剔除装置的运动,使目标始终出现在引导相机6的视野之中,达到对目标的视觉锁定目的。从而实现对柑橘囊胞异物的跟踪与绝对定位。 In the detection area, the adopted image-based visual servo system is shown in Figure 4. Firstly, the guided camera is used to collect images of citrus cysts in real time, and the corresponding image coordinates and motion information are extracted. Furthermore, image-based visual servoing technology is used to drive the movement of the culling device, so that the target always appears in the field of view of the guiding camera 6, so as to achieve the purpose of visually locking the target. In this way, the tracking and absolute positioning of foreign bodies in citrus cysts can be realized.
特征示教的目的是获取吸嘴9处于期望位姿时,异物在引导相机6中的图像,以此作为视觉伺服的期望特征。当系统处于工作模式时,由于异物和吸嘴9的当前相对位姿与期望相对位姿通常存在偏差,因此相机所获取的图像与期望的图像特征也存在差异。以该差异作为控制器的输入,控制器实时更新图像雅可比矩阵及其逆矩阵,并计算出输出控制量,从而通过电磁阀18控制气缸运动。如此递归,直至图像特征的偏差量小于容许的误差范围,最终达到精确的操作位置。 The purpose of feature teaching is to acquire the image of the foreign object in the guide camera 6 when the suction nozzle 9 is in the desired pose, and use it as the desired feature of visual servoing. When the system is in the working mode, since the current relative pose of the foreign object and the suction nozzle 9 usually deviates from the expected relative pose, the image acquired by the camera is also different from the expected image features. Taking the difference as the input of the controller, the controller updates the image Jacobian matrix and its inverse matrix in real time, and calculates the output control quantity, so as to control the movement of the cylinder through the solenoid valve 18 . Recursively, until the deviation of the image features is less than the allowable error range, and finally reach the precise operating position.
整体工作流程如图5所示。其中进行试探运动的目的是建立初始的雅可比矩阵。 The overall workflow is shown in Figure 5. The purpose of the tentative exercise is to establish the initial Jacobian matrix.
本方案无需估计囊胞异物在笛卡尔坐标系中的位姿,不仅减少了运算时延,并且可以克服相机的标定误差和吸嘴位置传感器误差对定位精度的影响,甚至无需标定。所计算的图像雅可比矩阵及其逆矩阵,将图像特征参数的变化同吸嘴位姿的变化联系了起来。其本质是将伺服任务放在图像特征参数空间中进行描述和控制。该方式与基于位置的伺服方式相比,具有更好的定位与跟踪精度。 This solution does not need to estimate the pose of the cystic foreign body in the Cartesian coordinate system, which not only reduces the calculation delay, but also overcomes the influence of the calibration error of the camera and the error of the nozzle position sensor on the positioning accuracy, and even does not require calibration. The calculated image Jacobian matrix and its inverse matrix link the change of image feature parameters with the change of nozzle pose. Its essence is to describe and control the servo task in the image feature parameter space. Compared with the position-based servo method, this method has better positioning and tracking accuracy.
以上所述仅为本发明的较佳实施例,并不用以限制本发明,凡在本发明的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。 The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection of the present invention. within range.
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