CN113834814B - Glove surface defect detection device - Google Patents
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Abstract
The invention relates to a device for detecting surface defects of gloves, which comprises: image acquisition module, defect detection module and hardware control module, wherein: the image acquisition module is used for acquiring an image of the glove to be detected and storing the image into an image folder; the defect detection module is used for detecting the image folder in real time and reading the file content when the image folder contains a newly added file; processing the obtained image file to generate image data; based on a target detection algorithm, carrying out defect detection on the acquired image to be detected to obtain the glove classification information and the glove position information in the image, and storing the glove classification information and the glove position information in a result folder; the hardware control module is used for reading the file, analyzing the result file and judging the subsequent processing of the glove when a new file is added in the result folder; when the length of the picking machine is shorter than the length capable of picking by blowing, the picking machine picks the product, and when the length of the picking machine is longer than the length capable of picking by blowing, the picking machine picks the product if the length of the picking machine is judged to be a defective product.
Description
Technical Field
The invention relates to a glove surface defect detection technology, in particular to a device for detecting glove surface defects.
Background
Gloves, such as butyronitrile gloves, are made of butadiene and acrylonitrile by emulsion polymerization, and the products have excellent oil resistance, higher wear resistance and better heat resistance. The high-quality nitrile rubber is matched with other additives and is refined and processed; it has no protein, no allergic reaction to human skin, no toxicity, no harm, high durability and high adhesion.
In the production process of the butyronitrile gloves, the gloves are subjected to a demoulding process on a hand mould after being formed, and defective products with surface defects such as stains, damages, pinholes and the like can appear in the production of the gloves at a certain probability due to the defects of a production process and production equipment. Different countries and regions have standards to limit the rate of defective products, and therefore, defective gloves need to be manually stripped from the hand mold before demolding. The manual detection not only increases the labor cost of enterprise production, and has high labor intensity, but also has lower detection accuracy.
Disclosure of Invention
The invention aims to solve the technical problems in the existing butyronitrile glove production process.
In order to achieve the above object, the present invention provides a glove surface defect detecting apparatus, comprising: image acquisition module, defect detection module and hardware control module, wherein:
the image acquisition module is used for acquiring an image of the glove to be detected and storing the image into an image folder;
the defect detection module is used for detecting the image folder in real time and reading the file content when the image folder contains the newly added file; processing the obtained image file to generate image data; based on a target detection algorithm, carrying out defect detection on the acquired image to be detected to obtain classification information and position information of gloves in the image, and storing the classification information and the position information into a result folder;
the hardware control module is used for reading the file, analyzing the result file and judging the subsequent processing of the glove when the result folder contains a new file; when the length of the product is less than the length capable of being removed by the removal machine, the product is removed by blowing, and when the product is determined to be a defective product after reaching the length, the product is removed.
The glove to be detected is inverted to generate image data of the front side and the back side; then the image data generated twice are corresponded; then inputting the data into a defect target detection module, and obtaining classification information of two image data to be detected by a detection algorithm; then, the two classified information is subjected to logic processing, and a generated result signal is sent to a removal module and an alarm module; the information of two sides of the glove to be detected is ensured to be collected; the completeness of the data information of the surface of the glove to be detected is ensured.
Drawings
FIG. 1 is a schematic structural diagram of a glove surface defect detecting apparatus according to an embodiment of the present invention;
fig. 2 is a schematic view of an application scenario of the apparatus shown in fig. 1.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Fig. 1 is a schematic structural diagram of a device for detecting surface defects of gloves according to an embodiment of the present invention. As shown in fig. 1 and 2, the apparatus includes an image acquisition module 11, a defect detection module 12, a hardware control module 13, an alarm module 14, and a display module 15.
The image acquisition module 11 is used for acquiring an image of the glove to be detected and storing the image into an image folder; the image acquisition module 11 includes a light source, an industrial camera, a photoelectric sensor, a strobe controller, and a flip device. The photoelectric sensor is arranged on one side of a conveying belt of the production line and used for capturing whether the gloves reach a shooting position or not and counting the gloves; the stroboscopic controller is a device which sends control signals to the industrial camera and the light source by receiving signals of the photoelectric sensor; the industrial camera and the light source are distributed on the same side, and the light source is an LED white parallel light source; receive the space restriction, can not place image acquisition device between two production lines, in order to gather the image of gloves tow sides, set up turning device between two industrial cameras, shoot after the upset gloves are stable.
The working process of the image acquisition module 11 comprises the following steps:
firstly, conveying gloves to be detected through a conveying belt of a production line, and when the gloves pass through a photoelectric sensor sensing area, detecting that an object is shielded by a sensor to generate a high-level signal;
a stroboscopic controller receives a high-level signal of a photoelectric sensor to generate a light source and an industrial camera trigger signal, and the light source emits light and the camera shoots;
step three, storing the image information acquired by the industrial camera into a direct image folder through a serial port;
step four, the gloves to be detected are continuously conveyed through the production line and pass through the turnover device, and the gloves are turned over for 180 degrees;
and fifthly, continuously transmitting the glove through a production line after overturning, and collecting an image on the other side of the glove after the glove is stabilized through another set of photoelectric sensor, an industrial camera, a light source and a stroboscopic controller device. When passing through the photoelectric sensor, the device has a counting function besides triggering the industrial cameras and the light source, and images obtained by the two cameras can be corresponded by knowing the number and the count of gloves between the two industrial cameras. And the shot image is also stored in the image folder through the serial port.
The defect detection module 12 is used for detecting the image folder in real time and reading the file content when the image folder contains the newly added file; processing the obtained image file to generate image data; and based on the yolov5 target detection algorithm, carrying out defect detection on the acquired image to be detected to obtain the glove classification information and the glove position information in the image, and storing the glove classification information and the glove position information in a result folder.
The working steps of the defect detection module 12 include:
step one, detecting an image folder in real time by an inference model (such as yolov5 inference model), and reading the content of a file when the image folder contains a newly added file;
processing the obtained image file to generate 8-bit gray level map BMP format image data;
step three, based on a yolov5 target detection algorithm, carrying out defect detection on the acquired image to be detected to obtain glove classification information and position information in the image; the method comprises the following specific steps:
performing data enhancement on an image to be detected to obtain enhanced image data;
inputting the enhanced image into a real-time detection network trained in advance for reasoning, starting TTA (TestTimeAugment) during reasoning, and setting a parameter flipr to be 1; if the requirement on the real-time detection precision is high, an auxiliary detection model is started, the identification accuracy is improved, and meanwhile the misjudgment rate is also improved; the auxiliary detection model is an image classification model, and the enhanced image data is input into the image classification model to obtain an image classification result.
Classification information L and position information x obtained from inference 0 、x 1 、y 0 And y 1 If the classification information L is judged to be the first defective item type, marking the removed variable as true; if the classification information L judges that the classification information L is a non-defective item type, cutting out new image data according to the position information and inputting the new image data into a real-time detection network trained in advance for reasoning, starting TTA during reasoning, and setting a parameter scale to be 1.2; if the requirement on the real-time detection precision is high, an auxiliary detection model is started, the identification accuracy is improved, and meanwhile the misjudgment rate is also improved;
obtaining the classification information L and the position information x according to reasoning 0 、x 1 、y 0 And y 1 And the inference result is stored in a result folder according to a TXT text mode.
The hardware control module 13 is used for reading the file, analyzing the result file and judging the subsequent processing of the glove when a new file is added in the result folder; when the length of the product is less than the length capable of being removed by the removal machine, the product is removed by blowing, and when the product is determined to be a defective product after reaching the length, the product is removed.
Specifically, the master control program monitors the result folder in real time, and when a new file is added in the result folder, the file is read, the result file is analyzed, and the subsequent processing of the glove is judged. The defective product is removed by a second removal device which has reached the length but is determined to be a defective product. Photoelectric sensors are arranged at the positions of the first removing device and the second removing device, and the photoelectric sensors judge that the detection result is consistent with the defective glove through counting.
As an improvement, the embodiment of the present invention further includes an alarm module 14, where the alarm module 14 obtains the processing information of the image acquisition module 11, and performs alarm analysis processing; the method comprises the following specific steps:
step one, receiving processing information transmitted from an image acquisition module 11;
marking the processing information, and classifying and marking the defective products as negative samples s 0 Normal class label as positive sample s 1 ；
Counting the proportion of negative samples in the total samples in each minute, and generating an alarm signal to alarm equipment when a set threshold value is reached, wherein the specific steps of calculating statistical information are as follows:
negative sample s is marked once 0 Statistical number of negative samples c 0 Increasing for one time; positive sample s at each labelling 1 Statistical number of positive samples c 1 Increasing for one time;
calculating the ratio of negative samples in the past period
Comparing the ratio P with a preset alarm threshold value, and if P is greater than or equal to the threshold value, generating an alarm signal; if P is less than threshold, then do not process;
the statistical number of negative samples c per integer minute of arrival 0 And the statistical number of positive samples c 1 Are all cleared to 0;
and the alarm equipment gives an alarm.
As an improvement, the embodiment of the invention further comprises a display module 15, and the display module 15 can display the variation trend of the defective rate in a past period of time in real time.
The embodiment of the invention generates image data of the front side and the back side by reversing the glove to be detected; then the image data generated twice are corresponded; then inputting the data into a defect target detection module, and obtaining classification information of two image data to be detected by a detection algorithm; then, the two classified information is subjected to logic processing, and a generated result signal is sent to a removal module and an alarm module; the information of two sides of the glove to be detected is ensured to be collected; the completeness of the data information of the surface of the glove to be detected is ensured. In addition, the embodiment of the invention displays the change trend of the defective rate in a past period of time in real time through the display module; production line workers can adjust production parameters of production equipment according to the change trend of defective products in a past period of time, and the generation of defective product gloves is reduced; the problem of low production yield of gloves in the production technology is solved; the effect of improving the qualified rate of the gloves in production is achieved.
It will be obvious that many variations of the invention described herein are possible without departing from the true spirit and scope of the invention. Accordingly, all changes which would be obvious to one skilled in the art are intended to be included within the scope of this invention as defined by the appended claims. The scope of the invention is only limited by the claims.
Claims (5)
1. An apparatus for detecting surface defects of a glove, comprising: image acquisition module, defect detection module and hardware control module, wherein:
the image acquisition module is used for acquiring an image of the glove to be detected and storing the image into an image folder;
the defect detection module is used for detecting the image folder in real time and reading the file content when the image folder contains the newly added file; processing the obtained image file to generate image data; performing data enhancement on the image to obtain enhanced image data; inputting the enhanced image data into a real-time detection network trained in advance for reasoning, and if the requirement on real-time detection precision is high, starting an auxiliary detection model; obtaining the glove classification information L and the glove position information x in the image according to reasoning 0 、x 1 、y 0 And y 1 If the classification information L judges that the classification information is the first defective product type, marking the removal variable as true; if the classification information L is judged to be the non-defective goods type, new image data are cut out according to the position information and input to a real-time detection network trained in advance for reasoning; if the requirement on the real-time detection precision is high, starting an auxiliary detection model; obtaining the classification information L and the position information x of the glove according to reasoning 0 、x 1 、y 0 And y 1 The reasoning result is stored into a result folder according to a TXT text mode;
the hardware control module comprises an alarm, a first removing device and a second removing device, a main control program monitors a result folder in real time, and when an added file exists in the result folder, the file is read, the result file is analyzed, and the subsequent processing of the gloves is judged; the first picking device is used for blowing and picking the product with the length not reaching the length which can be picked by the picking machine, and the second picking device is used for picking the product with the length reaching but judged as a defective product; photoelectric sensors are arranged at the positions of the first removing device and the second removing device, and the photoelectric sensors judge that the detection result is consistent with the defective glove through counting;
the alarm module is used for acquiring the processing information of the image acquisition module and carrying out alarm analysis processing; the alarm module is specifically configured to:
receiving processing information transmitted from an image acquisition module;
labeling the processing information, and classifying and labeling the defective products as negative samples s 0 Normal class label as positive sample s 1 ；
Counting the proportion of negative samples in total samples in each minute, generating an alarm signal to alarm equipment when a set threshold value is reached, and calculating statistical information by the specific steps of:
negative sample s once per label 0 Statistical number of negative samples c 0 Increasing for one time; positive sample s at each labelling 1 Statistical number of positive samples c 1 Increasing for one time;
calculating the ratio of negative samples in the past period
Comparing the ratio P with a preset alarm threshold value, and if P is greater than or equal to the threshold value, generating an alarm signal; if P is less than threshold, then do not process;
the statistical number of negative samples c per integer minute of arrival 0 And the statistical number of positive samples c 1 Are all cleared to 0;
and the alarm equipment gives an alarm.
2. The apparatus of claim 1, wherein the image acquisition module comprises an upper channel image acquisition module and a lower channel image acquisition module, the upper channel image acquisition module and the lower channel image acquisition module respectively comprising a light source, an industrial camera, a photosensor, a strobe controller; the photoelectric sensor is arranged on one side of a conveying belt of the production line and used for capturing whether the gloves reach the shooting position or not and counting the gloves; the stroboscopic controller is a device which sends control signals to the industrial camera and the light source by receiving signals of the photoelectric sensor; the industrial camera and the light source are distributed on the same side, and the light source is an LED white parallel light source; set up turning device between two industrial cameras, shoot after the upset back gloves are stable.
3. The apparatus of claim 1, wherein the image acquisition module is specifically configured to:
the gloves to be detected are conveyed through a conveying belt of a production line, and when the gloves pass through a sensing area of a photoelectric sensor, the photoelectric sensor detects that an object is shielded and generates a high-level signal;
the stroboscopic controller receives a high-level signal of the photoelectric sensor to generate a light source and a camera trigger signal, and the light source emits light and the camera shoots at the same time;
image information acquired by the industrial camera is stored in an image folder through a serial port;
the gloves to be detected are continuously conveyed through the turnover device through the production line, and the gloves are turned over for 180 degrees;
after overturning, continuously transmitting the gloves through a production line, and after the gloves are stabilized, acquiring images of the other side of the gloves through another set of photoelectric sensor, an industrial camera, a light source and a stroboscopic controller device; when passing through the photoelectric sensor, the industrial camera and the light source are triggered, the counting function is realized, the images obtained by the two cameras can be corresponded through the known number and counting of gloves between the two cameras, and the shot images are stored in an image folder through a serial port.
4. The apparatus of claim 1, further comprising a display module for displaying in real time a trend of the rate of rejects over a period of time.
5. The device of claim 1, wherein the glove comprises a nitrile glove.
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| CN117635547B (en) * | 2023-11-15 | 2024-05-14 | 河北省科学院应用数学研究所 | Method and device for detecting appearance defects of medical gloves |
| CN117607166A (en) * | 2023-11-24 | 2024-02-27 | 长沙湘鸿仪器机械有限公司 | Online monitoring system for surface defects of enameled wire |
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| CN107490456B (en) * | 2017-07-31 | 2019-04-02 | 重庆市中定科技有限公司 | Surface defect detection device of industrial glove production line |
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