阅读说明：本技术 一种视觉检测系统 (Visual detection system ) 是由 饶洪境 于 2020-03-17 设计创作，主要内容包括：本发明公开了一种视觉检测系统,包括控制器,所述控制器的输出端分别电连接有打印机、存储器、移动模块、红外定位模块、机械手、自学习ZigBee芯片、照明光源、工业相机和视觉分析模块,所述控制器的输入端电连接有电源切换模块,所述电源切换模块的输入端分别电连接有蓄电池和供电模块,所述自学习ZigBee芯片包括数据接收模块、数据处理模块和数据存储模块。本发明的视觉检测系统软件,除了标准分析功能,还带AI自学习功能,能根据检测合格目标后自动学习被检物品信息,简化调试难度,能根据检测出不良品原因进行统计分类,出具报表,并且利用视觉分析模块和视觉分析模块对物品外观进行检查是否合格,判断颜色、尺寸和形状。(The invention discloses a visual detection system which comprises a controller, wherein the output end of the controller is respectively and electrically connected with a printer, a memory, a mobile module, an infrared positioning module, a manipulator, a self-learning ZigBee chip, a lighting source, an industrial camera and a visual analysis module, the input end of the controller is electrically connected with a power supply switching module, the input end of the power supply switching module is respectively and electrically connected with a storage battery and a power supply module, and the self-learning ZigBee chip comprises a data receiving module, a data processing module and a data storage module. The vision detection system software of the invention has an AI self-learning function besides a standard analysis function, can automatically learn the information of the detected object after detecting a qualified target, simplifies the debugging difficulty, can carry out statistical classification according to the reason of the detected defective object, issues a report, and judges the color, the size and the shape by utilizing a vision analysis module and a vision analysis module to check whether the appearance of the object is qualified or not.)

1. A vision inspection system comprising a controller, characterized by: the output end of the controller is respectively and electrically connected with a printer, a storage, a mobile module, an infrared positioning module, a manipulator, a self-learning ZigBee chip, a lighting source, an industrial camera and a vision analysis module, the input end of the controller is electrically connected with a power supply switching module, the input end of the power supply switching module is respectively and electrically connected with a storage battery and a power supply module, the self-learning ZigBee chip comprises a data receiving module, a data processing module and a data storage module, and the vision analysis module comprises an image acquisition module, an image analysis module and an image storage module;

the controller is a core device of the whole visual detection system and is used for coordinating and controlling each system;

the printer is used for carrying out statistical classification according to the detected reasons of the defective products and issuing a report;

the memory is used for storing and backing up whether the appearance, color, size and shape of the detected article are qualified;

the moving module is used for adjusting the measuring distance and the measuring angle of the object, so that the imaging quality of the industrial camera is improved;

the infrared positioning module is used for positioning the adjusted position of the article and improving the detection precision of the article;

the manipulator is used for processing the appearance defects of the analyzed article;

the self-learning ZigBee chip can automatically learn the information of the detected object after detecting a qualified target, thereby simplifying the debugging difficulty;

the data receiving module is used for receiving qualified workpiece data, the data processing module is used for limiting the data value of the workpiece within a qualified range, and the data storage module is used for storing the data value of the workpiece within the qualified range;

the illumination light source is used for providing a stable light source for the visual analysis module;

the industrial camera is used for sending the geometric shape of a measured object into a part of the controller through an optical lens imaging, a camera photoelectric conversion and acquisition control circuit and the like;

the visual analysis module is used for processing the article image input into the controller and obtaining a detection result;

the image acquisition module is used for acquiring appearance data of the workpiece, the image analysis module is used for comparing the appearance data of the workpiece with a preset value, and the image storage module is used for storing the appearance numerical value of the workpiece.

2. A visual inspection system according to claim 1, wherein: the illumination light source can adjust the light intensity adaptively according to different measuring distances, measuring angles and the surface reflectivity of the measured object, and the imaging quality and the detection precision of the visual detection system are ensured.

3. A visual inspection system according to claim 1, wherein: the input end of the storage battery is electrically connected with a solar panel, and the solar panel is used for providing electric energy for the storage battery.

4. A visual inspection system according to claim 1, wherein: the output end of the controller is electrically connected with a display, and the display comprises a touch screen and an alarm.

Technical Field

The invention relates to the technical field of semi-finished product or finished product detection on a production line, wherein a visual analysis module and a light source are utilized to image a product, visual detection software is used to analyze the image, whether the appearance of an article is qualified or not is checked, and the color, the size, the shape and the like are judged, in particular to a visual detection system.

Background

With the development of modern science and technology, machine equipment in the fields of mechanical manufacturing, aerospace, household appliances, automobiles and the like all develop towards microminiature and high integration, the requirements for production and manufacturing of high-precision key parts are increasing day by day, higher requirements are provided for high-precision detection technology, the machine equipment is not manufactured without measurement, if the detection technology cannot obtain the required precision requirement, the manufacturing technology cannot obtain high manufacturing precision, because no means can be used for verifying whether the manufacturing precision has obtained the required precision, the photoelectric detector and the image processing technology are perfected day by day, so that a high-precision non-contact online visual detection system which is developed and developed aiming at various specific applications is widely applied, but because of the influences of factors such as environment, target feature and appearance, stray light and the like, the current detection system is difficult to meet the requirements for detection precision, therefore, the invention provides a high-precision non-contact detection system which effectively inhibits environmental interference, and has accurate length reference and accurate focusing.

Disclosure of Invention

The invention aims to provide a visual detection system, which has the advantage of convenience in use and solves the problem of inconvenience in visual detection.

In order to achieve the purpose, the invention provides the following technical scheme: a visual detection system comprises a controller, wherein the output end of the controller is respectively and electrically connected with a printer, a memory, a mobile module, an infrared positioning module, a manipulator, a self-learning ZigBee chip, a lighting source, an industrial camera and a visual analysis module, the input end of the controller is electrically connected with a power supply switching module, the input end of the power supply switching module is respectively and electrically connected with a storage battery and a power supply module, the self-learning ZigBee chip comprises a data receiving module, a data processing module and a data storage module, and the visual analysis module comprises an image acquisition module, an image analysis module and an image storage module;

the controller is a core device of the whole visual detection system and is used for coordinating and controlling each system;

the printer is used for carrying out statistical classification according to the detected reasons of the defective products and issuing a report;

the memory is used for storing and backing up whether the appearance, color, size and shape of the detected article are qualified;

the moving module is used for adjusting the measuring distance and the measuring angle of the object, so that the imaging quality of the industrial camera is improved;

the infrared positioning module is used for positioning the adjusted position of the article and improving the detection precision of the article;

the manipulator is used for processing the appearance defects of the analyzed article;

the self-learning ZigBee chip can automatically learn the information of the detected object after detecting a qualified target, thereby simplifying the debugging difficulty;

the data receiving module is used for receiving qualified workpiece data, the data processing module is used for limiting the data value of the workpiece within a qualified range, and the data storage module is used for storing the data value of the workpiece within the qualified range;

the illumination light source is used for providing a stable light source for the visual analysis module;

the industrial camera is used for sending the geometric shape of a measured object into a part of the controller through an optical lens imaging, a camera photoelectric conversion and acquisition control circuit and the like;

the visual analysis module is used for processing the article image input into the controller and obtaining a detection result;

the image acquisition module is used for acquiring appearance data of the workpiece, the image analysis module is used for comparing the appearance data of the workpiece with a preset value, and the image storage module is used for storing the appearance numerical value of the workpiece.

Preferably, the illumination light source can adaptively adjust the light intensity according to the measurement distance, the measurement angle and the surface reflectivity of the measured object, so as to ensure the imaging quality and the detection precision of the visual detection system.

Preferably, the input end of the storage battery is electrically connected with a solar panel, and the solar panel is used for providing electric energy for the storage battery.

Preferably, the output end of the controller is electrically connected with a display, and the display comprises a touch screen and an alarm.

Compared with the prior art, the invention has the following beneficial effects:

1. the vision detection system software of the invention has an AI self-learning function besides a standard analysis function.

2. The invention can automatically learn the information of the detected object after detecting the qualified target, and simplify the debugging difficulty.

3. The invention can carry out statistical classification according to the detected reasons of the defective products and issue a report.

4. The visual analysis module and the visual analysis module are used for checking whether the appearance of the article is qualified or not and judging the color, the size and the shape.

Drawings

FIG. 1 is a schematic diagram of the system of the present invention;

FIG. 2 is a schematic diagram of a visual analysis module system according to the present invention;

FIG. 3 is a schematic diagram of a self-learning ZigBee chip system of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1-3, a vision inspection system comprises a controller, an output end of the controller is electrically connected with a display, the display comprises a touch screen and an alarm, an output end of the controller is electrically connected with a printer, a memory, a mobile module, an infrared positioning module, a manipulator, a self-learning ZigBee chip, an illumination light source, an industrial camera and a vision analysis module, the illumination light source can adjust light intensity in a self-adaptive manner according to different measurement distances, measurement angles and surface reflectivity of an object to be inspected, imaging quality and detection precision of the vision inspection system are guaranteed, an input end of the controller is electrically connected with a power supply switching module, an input end of the power supply switching module is electrically connected with a storage battery and a power supply module, an input end of the storage battery is electrically connected with a solar cell panel, the solar cell panel is used for providing electric energy for the storage battery, and the self-learning chip comprises a data receiving module, a data receiving module and a data receiving module, The visual analysis module comprises an image acquisition module, an image analysis module and an image storage module;

the controller is a core device of the whole visual detection system and is used for coordinating and controlling each system;

the printer is used for carrying out statistical classification according to the detected reasons of the defective products and issuing a report;

the memory is used for storing and backing up whether the appearance, color, size and shape of the detected article are qualified;

the moving module is used for adjusting the measuring distance and the measuring angle of the object, so that the imaging quality of the industrial camera is improved;

the infrared positioning module is used for positioning the adjusted position of the article and improving the detection precision of the article;

the manipulator is used for processing the appearance defects of the analyzed article;

the self-learning ZigBee chip can automatically learn the information of the detected object after detecting a qualified target, thereby simplifying the debugging difficulty;

the data receiving module is used for receiving qualified workpiece data, the data processing module is used for limiting the data value of the workpiece in the qualified range, and the data storage module is used for storing the data value of the workpiece in the qualified range;

the illumination light source is used for providing a stable light source for the visual analysis module;

the industrial camera is used for sending the geometric shape of a measured object into a part of the controller through an optical lens imaging, a camera photoelectric conversion and acquisition control circuit and the like;

the visual analysis module is used for processing the article image input into the controller and obtaining a detection result;

the device comprises an image acquisition module, an image analysis module and an image storage module, wherein the image acquisition module is used for acquiring appearance data of the workpiece, the image analysis module is used for comparing the appearance data of the workpiece with a preset value, and the image storage module is used for storing the appearance numerical value of the workpiece.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.