TWM581726U - Production tracing system using cloud agricultural product image feature - Google Patents

Abstract

The utility model relates to a cloud agricultural product image feature production traceability system, which is suitable for tracking an agricultural product, comprising a standing establishment unit, a standing storage unit, and a standing confirmation unit. The identity establishing unit includes a first image capturing module for capturing an image of the agricultural product and forming a first image information. The identity storage unit includes a feature recognition module and a feature comparison module. The feature recognition module analyzes the first image information and forms a first feature information. The identity confirmation unit includes a second image capture module for capturing the image of the agricultural product and forming a second image information. The feature recognition module analyzes the second image information and forms a second feature information. The feature comparison module determines whether the first feature information and the second feature information are the same.

Description

Cloud agricultural product image feature production traceability system

The present invention relates to a traceability system, and in particular to a cloud product traceability production traceability system for agricultural products.

The current production and sales history of agricultural products can provide basic information on agricultural products, such as planting farms, planting fruit farmers, and consumers often get QR Code to quickly use the Internet to obtain capital information on agricultural products. The QR Code is usually indicated on the outer casing of the agricultural product, and may also be placed on the skin of the agricultural product to provide consumer use. However, the QR Code provided on agricultural products may be forged. The unscrupulous merchants will affix the fake QR Code to the agricultural products obtained elsewhere, so that consumers can take it seriously and buy the ideal agricultural products.

Referring to FIG. 1, a Republic of China patent M471641, an agricultural product marketing system and a package 10 having agricultural product information, includes a package 101, a sticker 102, and a server 11. The package 101 is used to package an agricultural product. The sticker 102 is attached to the package 101. A two-dimensional barcode 103 is disposed at a visually viewable position by the user 104. The hidden information of the two-dimensional barcode 103 is a web address. The server 11 stores a plurality of agricultural product production and sales history. When the user 104 scans the two-dimensional barcode 103 through the Internet-enabled scanning device 105, the Internet-based scanning device 105 connects to the corresponding position of the server 11 through the Internet site URL, so that the Internet-enabled scanning device 105 is enabled. The production process corresponding to the agricultural product can be retrieved by the server 11.

Although the prior art discloses an agricultural marketing system, it still has the following disadvantages in practical use:

First, the agricultural products are dropped:

Consumers can't confirm the agricultural products, can't understand whether the agricultural products are dropped, and the merchants can easily remove the agricultural products.

Second, the link URL is easy to fake:

Merchants will buy cheap produce, and then put the URL of the well-known farm link into the QR Code, which is difficult for consumers to detect.

Third, the quality of agricultural products cannot be confirmed:

Although the basic information of agricultural products is well-known, agricultural products will have different maturity. Different degrees of flexibility have different tastes. When boxes are placed in agricultural products with poor maturity, consumers can only accept that they cannot complain.

Therefore, how to confirm the same as the agricultural products shipped and delivered, and provide information related to the maturity of agricultural products, to avoid consumers being deceived, is the goal of relevant technical personnel.

In view of this, the purpose of the present invention is to provide a cloud agricultural product image feature production traceability system, which is suitable for tracking an agricultural product. The cloud agricultural product image feature production traceability system includes an identity establishment unit, a identity storage unit, and a standing confirmation. unit.

The identity building unit includes a first image capturing module, and the image capturing module is configured to capture an image of the agricultural product and form a first image information.

The identity storage unit is connected to the identity establishing unit, and includes a feature recognition module, a feature comparison module, and a data storage module. The feature recognition module is configured to analyze the first image information and form a first The feature storage device is configured to store the first image information and the first feature information.

The identity confirmation unit is coupled to the identity storage unit, and includes a second image capture module. The second image capture module is configured to capture an image of the agricultural product and form a second image information. The group is configured to analyze the second image information and form a second feature information, and the feature comparison module is configured to determine whether the first feature information and the second feature information are the same.

A further technical means of the present invention is that the identity establishing unit further comprises a data establishing module, wherein the data establishing module is configured to establish the identity of the agricultural product and form an identity information, and the data storage module is configured to store The identity information.

Another technical means of the present invention is that the identity establishing unit further includes a maturity detecting module, wherein the maturity detecting module is configured to identify the maturity of the agricultural product and form a maturity information. The storage module is configured to store the familiarity information.

A further technical method of the present invention is that the identity establishing unit further includes a fragility detecting module for detecting the brittleness of the agricultural product and forming a brittleness information. The data storage module is configured to store the crispness information.

Another technical means of the present invention is that the identity establishing unit further includes a weight detecting module for detecting the weight of the agricultural product and forming a weight information. The data storage module Used to store this weight information.

Another technical means of the present invention is that the maturity detecting module is a near-infrared spectrometer, and the fragility detecting module is an ultrasonic detector, and the weight detecting module is a strain gauge. .

A further technical means of the present invention is that the identity establishing unit further includes a quality classification module for classifying the agricultural products.

A further technical means of the present invention is that the identity establishing unit further comprises a label generating module, wherein the label generating module is configured to generate a pointing label information, wherein the pointing label information is set on the agricultural product and pointed The address of the data storage module.

Another aspect of the present invention is that the identity verification unit further includes a data download module for downloading data stored in the data storage module.

A further technical means of the present invention is that the identity confirmation unit further includes a data display module for displaying the data downloaded by the data download module.

The beneficial effect of the novel is that the feature comparison module can compare the first image information and the second image information, and can confirm that the agricultural product sent by the merchant is the same agricultural product as the agricultural product received by the consumer, and can avoid sending The agricultural products sent were replaced.

The details of the related patents and the technical contents of the present invention will be clearly shown in the following detailed description of a preferred embodiment with reference to the drawings.

Referring to Figures 2 and 3, a first preferred embodiment of a cloud agricultural product image feature production traceability system is disclosed. The cloud agricultural product image feature production traceability system is suitable for tracking an agricultural product 31. The cloud agricultural product image feature production traceability system The utility model comprises an identity establishing unit 32, a standing storage unit 33, and an identity confirming unit 34.

The identity establishing unit 32 includes a first image capturing module 321 , a data creating module 322 , a maturity detecting module 323 , a fragility detecting module 324 , a weight detecting module 325 , and a The quality classification module 326 and a label generation module 327.

The identity storage unit 33 is connected to the identity establishing unit 32. The identity storage unit 33 includes a feature recognition module 331 , a feature comparison module 332 , and a data storage module 333 .

The identity confirmation unit 34 is connected to the identity storage unit 33. The identity verification unit 34 includes a second image capture module 341, a data download module 342, and a data display module 343.

In the preferred embodiment, the agricultural product 31 is a watermelon, and the agricultural product 31 is distributed by using a stream 311. In actual implementation, the agricultural product 31 may be guava, lotus, cantaloupe, pineapple, peach, apple, and the like. Agricultural products 31 should not be limited to this.

The first image capturing module 321 is a mobile communication device having a shooting function, such as a mobile phone, and can capture an appearance image of the agricultural product 31. Preferably, the first image capturing module 321 is to photograph the agricultural product 31. The first image capturing module 321 forms a first image information, and the first image capturing module 321 transmits the first image information to the identity storage unit 33.

The identity storage unit 33 obtains the first image information, and the feature recognition module 331 can analyze the first image information and form a first feature information. The same type of agricultural products 31 have different appearance colors, for example, Although the watermelons are all similar, the surface texture is different. Although the appearance of the guava is very similar, the position of the surface of the cavity is different. Even if the same agricultural product 31, its appearance will have different characteristics. The feature recognition module 331 can analyze the appearance features.

In the preferred embodiment, the feature recognition module 331 uses an image recognition algorithm ORB (Oriented fast and rotated brief), which is a fast feature point extraction and description algorithm. The ORB algorithm is divided into two parts, which are respectively features. Point extraction and feature point description. Feature extraction is developed by the FAST (Features from Accelerated Segment Test) algorithm. The feature point description is improved according to the BRIEF (Binary Robust Independent Elementary Features) feature description algorithm. The ORB feature combines the detection method of FAST feature points with the BRIEF descriptors and improves and optimizes them based on their originals.

The feature recognition module 331 can further utilize the image recognition technology to identify the appearance of the agricultural product 31 by using the image recognition technology, and use an ORB (Oriented fast and rotated brief) algorithm to capture the feature points of the first image information. The ORB algorithm has two characteristics: scale space invariance and rotation invariance, which is suitable for the purpose of the first image information identification. The feature information of the first image information can be obtained by the feature recognition module 331 to obtain the feature information of the agricultural product 31 and form the first feature information. The data storage module 333 of the identity storage unit 33 can store the first feature information. The identity storage unit 33 is a network server.

The data creation module 322 is a computer device. In actual implementation, the data creation module 322 can also be the same mobile communication device as the feature recognition module 331. The data creation module 322 can input the agricultural product 31. The date of receipt, the date of packing, the date of delivery, the place of delivery, and other basic information about the agricultural product. The identity information is stored in the data storage module 333 of the identity storage unit 33.

The maturity detecting module 323 is configured to identify the maturity of the agricultural product 31 and form a maturity information. The maturity detecting module 323 transmits the familiarity information to the identity storage unit 33 and stores the information. In the data storage module 333. Preferably, the maturity detecting module 323 is a near-infrared spectrometer, and the maturity detecting module 323 can classify the maturity of the agricultural product 31, and the maturity detecting module 323 can perform compound analysis. Technology, near-infrared spectrometer is a non-destructive analysis method. When the agricultural product 31 passes through the apparatus of the maturity detecting module 323, the light source is incident on the tissue of the agricultural product 31 by a specific position, and the maturity detection The measurement module 323 collects the reflected spectrum and detects the maturity of the agricultural product 31 through the learned neural network.

The brittleness detection module 324 is configured to detect the brittleness of the agricultural product 31 and form a brittleness information. The brittleness detection module 324 transmits the brittleness information to the identity storage unit 33 and stores the information. The data storage module 333 is included. Preferably, the fragility detecting module 324 is an ultrasonic detector, and the fragility detecting module 324 uses a pulse wave to send the object through the couplant (medium) when the agricultural product 31 passes the fragile In the instrument of the degree detecting module 324, the ultrasonic wave on the back side of the object is reflected back, and then received by the transducer of the fragility detecting module 324 to detect the brittleness or hardness of the agricultural product 31. .

The weight detecting module 325 is configured to detect the weight of the agricultural product 31 and form a weight information. The weight detecting module 325 transmits the weight information to the identity storage unit 33 and stores the data in the data storage module. 333. Preferably, the weight detecting module 325 is a strain gauge, and the weight detecting module 325 can measure the weight of the agricultural product 31, wherein the weight of the Wheatstone bridge is used to generate a micro voltage. The output is then processed by the amplifier module to process the signal to the required voltage, and then the voltage is converted into weight, and finally the weight of the fruit can be known.

The quality classification module 326 can classify the agricultural product 31. Preferably, the OpenCV image recognition in the first image capturing module 321 can be used to capture the upper and lower limits of the color of the agricultural product 31, and then perform color. Tracking the quality results, through the above functions to detect whether the agricultural product 31 has insects or damage to the surface, some agricultural products 31 will cause black spots due to factors such as insects or damage, and can be classified by the quality when a problem is detected. The module 326 performs a recycling process.

The data storage module 333 can store the first feature information, the identity information, the familiarity information, the crispness information, and the weight information. The label generation module 327 is a labeling machine that generates a QR Code. A pointing information of the data storage module 333 of the identity storage unit 33, the pointing label information is the link URL of the data storage module 333, stored in the QR Code, and then printed on the QR Code, and then the sticker It is disposed on the surface of the agricultural product 31 or on the box.

When the agricultural product 31 is sent to the consumer, the consumer can use the second image capturing module 341 to capture the image of the agricultural product 31. The identity confirmation unit 34 is a mobile communication device with a photographic function, which can be used for shooting. The image is formed into a second image information, and the second image information is transmitted to the identity storage unit 33 by using a label having a QR Code. The feature recognition module 331 of the identity storage unit 33 can analyze the second image information and form a second image information. The second feature information, the feature comparison module 332 of the identity storage unit 33 compares the first feature information with the second feature information to determine the agricultural product 31 of the first feature information and the agricultural product 31 of the second feature information. Whether it is the same or not, it is possible to prevent the agricultural product 31 from being dropped during transportation.

When the feature comparison module 332 of the identity storage unit 33 determines that the agricultural product 31 is different from the agricultural product 31 originally sent, the consumer can protest to the merchant, the farm, or the farmer, and discuss which link has a problem.

When the feature comparison module 332 of the identity storage unit 33 determines that the agricultural product 31 is the same as the agricultural product 31 that was originally sent, the data download module 342 of the identity confirmation unit 34 can be downloaded and stored in the data storage module 333. The data is displayed on the data display module 343 of the identity confirmation unit 34. Preferably, the data download module 342 is an application (APP) installed in the mobile communication device, and the data display module 343 is a display screen of the mobile communication device.

It can be seen from the above description that the novel traceability system for image quality of cloud agricultural products does have the following effects:

First, find out whether the agricultural products have been dropped:

Some agricultural products 31 have a higher unit price, and the agricultural product 31 reserved by the consumer is highly likely to be dropped. The identity storage unit 33 can analyze and store the characteristics of the agricultural product 31 of the merchant, and then carry out the characteristics of the agricultural product 31 received by the consumer. In comparison, it can be judged whether the received agricultural product 31 is the same as the predetermined agricultural product 31.

Second, the basic information of agricultural products can be obtained quickly:

The identity confirmation unit 34 held by the consumer can quickly compare the agricultural products 31 by the pointing label information, and obtain basic information of the agricultural product 31.

Third, you can understand the basic information:

The merchant, the farm, or the farmer can learn the basic information of the agricultural product 31 by the maturity detecting module 323, the fragility detecting module 324, and the weight detecting module 325.

In summary, the first image capturing module 321 of the identity establishing unit 32 can capture the image of the agricultural product 31 and form the first image information, and the second image capturing module 341 of the identity confirming unit 34 can capture the image. The image of the agricultural product 31 forms the second image information, and the feature comparison module 332 of the identity storage unit 33 compares the first feature information with the second feature information to determine the agricultural product 31 of the first feature information. Whether the agricultural product 31 of the second characteristic information is the same can prevent the agricultural product 31 from being dropped during the transportation process, and the maturity detecting module 323 can recognize the maturity of the agricultural product 31 and form the familiarity information, and the brittleness detection The module 324 can detect the brittleness of the agricultural product 31 and form the brittleness information. The weight detecting module 325 can detect the weight of the agricultural product 31 and form the weight information, and the quality classification module 326 can have the defect. The agricultural products 31 are eliminated, so the purpose of the novel can be achieved.

However, the above is only a preferred embodiment of the present invention, and the scope of the present invention cannot be limited thereto, that is, the simple equivalent change and modification of the novel patent application scope and the new description content. , are still within the scope of this new patent.

10‧‧‧Agricultural marketing system and packing box with agricultural product information  101‧‧‧Package  102‧‧‧ sticker  103‧‧‧Server  104‧‧‧Users  105‧‧‧Scanning device  31‧‧‧ Agricultural products  311‧‧‧ Logistics  32‧‧‧ Identity building unit  321‧‧‧First image capture module  322‧‧‧Data Creation Module  323‧‧‧ Maturity Detection Module  324‧‧‧Break detection module  325‧‧‧ Weight Detection Module  326‧‧‧Quality Classification Module  327‧‧‧Label generation module  33‧‧‧ Identity storage unit  331‧‧‧Character Identification Module  332‧‧‧Feature comparison module  333‧‧‧ Data Storage Module  34‧‧‧identification unit  341‧‧‧Second image capture module  342‧‧‧Data download module  343‧‧‧data display module  

1 is a schematic view of a device illustrating a Republic of China patent M471641, an agricultural product marketing system and a package with agricultural product information;  2 is a schematic view showing a preferred embodiment of the novel cloud agricultural product image feature production traceability system, an aspect of agricultural product distribution, and a mode of operation of the cloud agricultural product image feature production traceability system;  FIG. 3 is a schematic diagram of an apparatus for explaining the configuration of the cloud agricultural product image feature production traceability system in the preferred embodiment.  

Claims (10)

A cloud agricultural product image feature production traceability system, suitable for tracking an agricultural product, comprising:  An identity building unit includes a first image capturing module, wherein the image capturing module is configured to capture an image of the agricultural product and form a first image information;  The storage unit is connected to the identity establishing unit, and includes a feature recognition module, a feature comparison module, and a data storage module. The feature recognition module is configured to analyze the first image information and form a The first feature information, the data storage module is configured to store the first image information and the first feature information; and  A identity confirmation unit is coupled to the identity storage unit, and includes a second image capture module, wherein the second image capture module is configured to capture an image of the agricultural product and form a second image information. The module is configured to analyze the second image information and form a second feature information, and the feature comparison module is configured to determine whether the first feature information and the second feature information are the same.   The cloud agricultural product image feature production traceability system according to claim 1, wherein the identity establishment unit further comprises a data creation module, wherein the data establishment module is used to establish the identity of the agricultural product and form an identity information. The data storage module is used to store the identity information. According to the cloud product image feature production traceability system described in claim 1, wherein the identity establishment unit further comprises a maturity detection module, wherein the maturity detection module is used to identify the maturity of the agricultural product and form The information storage module is configured to store the familiarity information. According to the third aspect of the patent application, the cloud agricultural product image feature production traceability system, wherein the identity establishment unit further comprises a fragility detection module, wherein the fragility detection module is configured to detect the brittleness of the agricultural product and Forming a crispness information, the data storage module is configured to store the crispness information. According to the fourth aspect of the patent application, the cloud agricultural product image feature production traceability system further includes a weight detection module for detecting the weight of the agricultural product and forming a weight. Information, the data storage module is used to store the weight information. According to the fifth aspect of the patent application scope, the cloud agricultural product image feature production traceability system, wherein the maturity detection module is a near infrared spectrometer, and the brittleness detection module is an ultrasonic detector, the weight detection The test module is a strain gauge. The cloud agricultural product image feature production traceability system according to claim 1, wherein the identity establishment unit further comprises a quality classification module, and the quality classification module is configured to classify the agricultural products. According to the cloud product model production feature traceability system of claim 1, wherein the identity establishment unit further comprises a label generation module, wherein the label generation module generates a pointing label information, and the pointing label information is used for Set on the agricultural product and point to the address of the data storage module. According to the cloud product image feature production traceability system of claim 1, wherein the identity confirmation unit further comprises a data download module, wherein the data download module is configured to download the data stored in the data storage module. The image recognition module further includes a data display module, wherein the data display module is configured to display the data downloaded by the data download module.