CN117523751A - A payment method that automatically identifies the payment amount - Google Patents

Abstract

The application discloses a payment method for automatically identifying payment amount, which comprises the following steps: the automatic money and coin collection device comprises a paper money and coin image acquisition module, a paper money and coin image data processing module, a paper money and coin image characteristic extraction module, a paper money and coin classification recognition module, a paper money breakage detection module and a price-counting and change-giving module, wherein technical means such as the paper money and coin image acquisition module are adopted, so that the technical problems in the prior art are effectively solved, and further, when actual money payment is carried out, the paper money and coins are automatically recognized, the price is counted, automatic change is given, the automatic money and coin collection device is suitable for being used in shops of automatic vending, the problem that personnel who cannot use intelligent payment means cannot purchase goods is avoided, and the practical effect of the device is improved.

Description

A payment method that automatically identifies the payment amount

Technical field

This application relates to the technical field of automatic identification of payment amounts, and more specifically, to a payment method for automatic identification of payment amounts.

Background technique

There are many payment methods that automatically identify the payment amount. Here are a few. In stores, restaurants or other consumption places, users only need to use their mobile phones to scan the QR code provided by the merchant to quickly complete the payment without manually entering the amount. This payment method mainly relies on mobile applications such as Alipay.

E-Wallet: An e-wallet is a virtual wallet that allows users to store payment instruments such as credit cards, debit cards, and cash. When shopping, users simply pay via their e-wallet without manually entering the amount.

Smart payment terminal: A smart payment terminal is a device with a touch screen and scanning function that can quickly scan and identify the amount of the product. Users only need to sign or enter a password on the device to complete the payment.

The prior art document with publication number CN115170128A provides a payment and settlement method, device and equipment. The device performs multiple security verifications such as face recognition, SMS verification, and iris recognition for user payment and settlement. After passing the verification, the corresponding amount on the user's account is automatically deducted, which improves the security of user payment and settlement and reduces the risk of users using QR code payment and other payment and settlement risks.

Although the above-mentioned prior art solution can realize payment and settlement through the structure of the prior art, it still has the following defects; when the device is used, it realizes the payment of virtual currency, but there are still many problems that cannot be solved in real life. For people who use smart payments, the device is inconvenient to automatically identify banknotes and coins, making it inconvenient to make payments between actual currencies, resulting in a limited scope of transactions.

In view of this, we propose a payment method that automatically identifies the payment amount.

Contents of the invention

1. Technical problems to be solved

The purpose of this application is to provide a payment method that automatically identifies the payment amount, solves the technical problems raised in the above-mentioned background technology, and achieves the technical effect of payment between actual currencies.

2.Technical solutions

The embodiment of the present application provides a payment method that automatically identifies the payment amount. The method is based on the following system, including a payment device, a coin payment change mechanism, a paper money payment detection mechanism, a money depositor and a paper money change mechanism. The payment device is connected to a fixed setting There is a coin payment change mechanism, a banknote payment detection mechanism is fixedly connected to the payment equipment, a plurality of money deposit holders are placed inside the payment equipment, a paper money change mechanism is fixedly connected to the inner wall of the payment equipment, and a monitor and a voice broadcasting device are installed on the payment equipment. , the coin payment and change mechanism includes a coin placement seat. A plurality of coin sorting tubes are connected and fixed on the inner wall of the coin placement seat. A plurality of electric push rods A are connected and fixed on the inner wall of the bottom end of the coin placement seat. The end of the electric push rod A is connected and fixed. There is a coin pushing plate, and the coin pushing plate and the inner wall of the coin placing seat are arranged in sliding fit. A camera device is installed in the coin placing seat. The banknote payment detection mechanism includes a banknote placing seat. The inner wall of the banknote placing seat is connected and fixed with a motor A, and the output of the motor A is The end connection is fixed with a worm, and both sides of the worm are meshed and driven with worm gears. The worm gear is connected and fixed with a money transfer rubber rod. The money transfer rubber rod is connected to the inner wall of the banknote placement seat in a rotational manner. The banknote placement seat is provided with a money return slide through sliding fit. The money refund seat and the banknote placement seat are connected and fixedly provided with an electric push rod B. A camera device is installed in the banknote placement seat. The bottom of the money deposit seat is connected and fixed with a plug-in rod. The plug-in rod is movable and plugged into the inner wall of the payment device. There are 50, 20, 10, and 5 yuan bills placed in multiple money deposit seats. The banknote and banknote change mechanism includes a motor B. The motor B is connected and fixed with a turret. The turret is connected and fixed with an electric push rod C. The other end of the electric push rod C is connected and fixed with a plurality of electric suction cups;

Among them, the coin payment change mechanism and the paper money payment detection mechanism identify and price the paid currency, calculate the value of the change based on the price of the product, control the paper money change mechanism to absorb the banknotes, and at the same time push the coins through the coin pushing plate to change the money and refund the money. The base detects the defects of the banknotes through the model. When the defects are too large, the electric push rod B will drive the refund seat to move, push out the incomplete banknotes, and give voice prompts for replacement;

S1. Banknote and coin image acquisition module: The banknote and coin image acquisition module uses equipment such as cameras or scanners to collect coin and banknote image data;

S2. Banknote and coin image data processing module: The banknote and coin image data processing module preprocesses the collected coins and banknote images, including image denoising, image enhancement, image smoothing and other processing;

S3. Banknote and coin image feature extraction module: The banknote and coin image feature extraction module extracts features of coins and banknote images, including color features, texture features, shape features and other data;

S4. Banknote and coin classification and identification module: The banknote and coin classification and identification module uses machine learning or deep learning algorithms to train a classification model to classify and identify coins and banknotes;

S5. Banknote damage detection module: The banknote damage detection module detects the damage of banknotes, including torn, damaged, missing corners, etc.;

S6. Price change module: The price calculation module calculates the total price of a given commodity based on the recognized coin and banknote information, and automatically calculates the change amount based on the amount paid by the user.

As an optional solution to the technical solution of this application document, the banknote and coin image acquisition module uses a camera or scanner to collect images of coins and banknotes, and can collect images of the front, back and various angles to obtain comprehensive information data .

As an optional solution to the technical solution of this application document, the banknote and coin image data processing module performs preprocessing on the collected coin and banknote images, including image denoising, image enhancement, and image smoothing. The image denoising : Random noise in the image can be eliminated through median filtering, making the image clearer;

Described image enhancement: image enhancement methods include contrast enhancement, brightness adjustment, color balance, etc., to perform image enhancement processing to better identify and detect images of coins and banknotes;

The image smoothing: through the smoothing method of mean filtering, details and noise in the image are eliminated, which can reduce the details and noise in the image and improve the accuracy of recognition.

As an optional solution to the technical solution of this application document, the banknote and coin image feature extraction module extracts features of coins and banknote images, including color features, texture features, shape features and other data;

For coins: diameter feature: can use image processing technology, such as binarization technology, to detect the diameter of the coin, and use this as one of the features; edge feature: can use edge detection algorithms, such as Sobel, to extract the edge information of the coin as a characteristic;

For banknotes: Face value features: The face value of banknotes is an important feature that can be used to identify and extract face value information through image processing technology. Watermark features: Banknotes usually have watermarks, and the location, size, color and other information of the watermark can be detected through image processing technology. ;

As an optional solution to the technical solution of this application document, the banknote and coin classification and recognition module chooses to use a convolutional neural network (CNN) to train the model. According to the actual situation, the structure and parameters of the model can be adjusted to improve accuracy. Evaluate the performance of the model by using the validation set, and understand the accuracy of the model by calculating the precision, recall, F1 score and other indicators of the model.

As an optional solution to the technical solution of this application document, the banknote damage detection module detects the damage of banknotes, including torn, damaged, missing corners, etc., and uses image segmentation technology to detect the damaged area of the banknote image. Through calculation Features such as edges and textures on banknote images can detect tearing, damage, missing corners and other damage conditions, and extract relevant features from the damaged area, such as damaged shape, size, location and other information. These features can be used for training Damage detection model, performs damage detection and damage degree analysis on banknotes.

3. Beneficial effects

One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

1. This application adopts technical means such as banknote and coin image acquisition modules, so it effectively solves the technical problems in the existing technology, and then realizes the automatic identification of banknotes and coins when making actual currency payments, and performs It can calculate prices and automatically change money, and is suitable for use in automatic vending stores. It avoids the problem of people who do not know how to use smart payment methods being unable to purchase goods, and improves the practicality of the device.

2. This application realizes the identification and pricing of the payment currency by setting up a coin payment change mechanism and a banknote payment detection mechanism, and calculates based on the price of the product to obtain the value of the change, and controls the paper currency change mechanism to achieve adsorption of banknotes. At the same time, through The coin pusher pushes out the coins to complete the money change step, thus completing the transaction.

3. This application sets up a refund seat and uses a model to detect the defects of banknotes. When the defect is too large, the electric push rod B will drive the refund seat to move, push out the incomplete banknotes, and give voice prompts for replacement.

Description of drawings

Figure 1 is a schematic diagram of the currency identification process of the overall structure of a payment method for automatically identifying payment amounts disclosed in a preferred embodiment of the present application;

Figure 2 is a schematic diagram of the overall structure of a payment method for automatically identifying payment amounts disclosed in a preferred embodiment of the present application;

Figure 3 is a partial cross-sectional schematic diagram of the overall structure of a payment method for automatically identifying payment amounts disclosed in a preferred embodiment of the present application;

Figure 4 is a schematic cross-sectional view of the structure of the coin payment change mechanism of the payment method for automatically identifying the payment amount disclosed in a preferred embodiment of the present application;

Figure 5 is a schematic cross-sectional view of the structure of the banknote payment detection mechanism of the payment method for automatically identifying the payment amount disclosed in a preferred embodiment of the present application;

Figure 6 is a schematic cross-sectional view of a partial structure of a payment method for automatically identifying payment amounts disclosed in a preferred embodiment of the present application;

Description of the numbers in the figure: 1. Payment equipment; 2. Coin payment change mechanism; 3. Paper money payment detection mechanism; 4. Money deposit holder; 5. Paper money change mechanism; 201. Coin placement seat; 202. Coin sorting tube; 203. Electric push rod A; 204, coin pushing plate; 301, banknote placement seat; 302, motor A; 303, worm; 304, worm wheel; 305, money transfer rubber rod; 306, money return seat; 307, electric push rod B; 401. Plug rod; 501. Motor B; 502. Turret; 503. Electric push rod C; 504. Electric suction cup.

Detailed ways

The present application will be further described in detail below with reference to the accompanying drawings.

Referring to Figure 1, a payment method for automatically identifying the payment amount includes the following steps:

S1. Banknote and coin image acquisition module: The banknote and coin image acquisition module uses cameras or scanners and other equipment to collect coin and banknote image data;

S2. Banknote and coin image data processing module: The banknote and coin image data processing module preprocesses the collected coins and banknote images, including image denoising, image enhancement, image smoothing, etc.;

S3. Banknote and coin image feature extraction module: The banknote and coin image feature extraction module extracts the features of coins and banknote images, including color features, texture features, shape features and other data;

S4. Paper money and coin classification and identification module: The paper money and coin classification and identification module uses machine learning or deep learning algorithms to train the classification model to classify and identify coins and paper money;

S5. Banknote damage detection module: The banknote damage detection module detects the damage of banknotes, including torn, damaged, missing corners, etc.;

S6. Price change module: The price change module calculates the total price of a given commodity based on the recognized coin and banknote information, and automatically calculates the change amount based on the amount paid by the user.

Among them, the coin payment change mechanism and the paper money payment detection mechanism identify and price the paid currency, calculate the value of the change based on the price of the product, control the paper money change mechanism to absorb the banknotes, and at the same time push the coins through the coin pushing plate to change the money and refund the money. The holder detects the defects of the banknotes through the model. When the defects are too large, the electric push rod B will drive the refund holder to move, push out the incomplete banknotes, and give voice prompts for replacement.

The banknote and coin image acquisition module uses a camera or scanner to collect images of coins and banknotes. It can collect images of the front, back and various angles to obtain comprehensive information data.

The banknote and coin image data processing module preprocesses the collected coin and banknote images, including image denoising, image enhancement, image smoothing, and image denoising: median filtering can eliminate random noise in the image and make the image clearer. ;

Image enhancement: Image enhancement methods include contrast enhancement, brightness adjustment, color balance, etc., to perform image enhancement processing to better identify and detect images of coins and banknotes;

Image smoothing: The smoothing method of mean filtering is used to eliminate details and noise in the image, which can reduce the details and noise in the image and improve the accuracy of recognition.

The banknote and coin image feature extraction module extracts the features of coins and banknote images, including color features, texture features, shape features and other data;

For coins: diameter feature: can use image processing technology, such as binarization technology, to detect the diameter of the coin, and use it as one of the features; edge feature: can use edge detection algorithms, such as Sobel, to extract the edge information of the coin as a characteristic;

For banknotes: Face value features: The face value of banknotes is an important feature that can be used to identify and extract face value information through image processing technology. Watermark features: Banknotes usually have watermarks, and the location, size, color and other information of the watermark can be detected through image processing technology. .

The banknote and coin classification and recognition module chooses to use the convolutional neural network CNN to train the model. According to the actual situation, the structure and parameters of the model can be adjusted to improve accuracy. The performance of the model is evaluated by using the verification set. By calculating the accuracy of the model, Recall rate, F1 score and other indicators to understand the accuracy of the model.

The banknote damage detection module detects the damage of banknotes, including torn, damaged, missing corners, etc. It uses image segmentation technology to detect damaged areas of banknote images. By calculating the edges and textures on the banknote images, it can detect torn, damaged, and missing corners. Damage, missing corners and other damage conditions, extract relevant features from the damaged area, such as the shape, size, location and other information of the damage. These features can be used to train the damage detection model to perform damage detection and damage degree analysis on banknotes.

Referring to Figures 2 and 3, a payment method that automatically identifies the payment amount includes a payment device 1, a coin payment change mechanism 2, a paper money payment detection mechanism 3, a money depositor 4 and a paper money change mechanism 5.

A coin payment change mechanism 2 is connected and fixed to the payment device 1, a banknote payment detection mechanism 3 is connected and fixed to the payment device 1, a plurality of deposit holders 4 are placed inside the payment device 1, and banknotes are connected and fixed to the inner wall of the payment device 1. Money change agency 5.

The payment device 1 is equipped with a display and a voice broadcast device.

Referring to Figure 4, the coin payment change mechanism 2 includes a coin placement seat 201. A plurality of coin sorting tubes 202 are connected and fixed on the inner wall of the coin placement seat 201. A plurality of electric push rods A203 are connected and fixed on the inner wall of the bottom end of the coin placement seat 201. The end of the push rod A203 is connected and fixedly provided with a coin push plate 204. The coin push plate 204 and the inner wall of the coin placement seat 201 are provided in sliding fit, and a camera device is installed in the coin placement seat 201.

Referring to Figure 5, the banknote payment detection mechanism 3 includes a banknote placement seat 301. A motor A302 is connected and fixed to the inner wall of the banknote placement seat 301. A worm 303 is connected and fixed to the output end of the motor A302. A worm gear 304 is provided for meshing transmission on both sides of the worm 303. The worm gear is 304 is connected and fixedly provided with a money transfer rubber rod 305, and the money transfer rubber rod 305 is rotatably connected to the inner wall of the banknote placement seat 301.

The banknote placement seat 301 is provided with a money return seat 306 with a sliding fit therethrough, and an electric push rod B307 is connected and fixed between the money return seat 306 and the banknote placement seat 301 . Camera equipment is installed in the banknote placement seat 301.

Referring to Figure 6, the bottom end of the money deposit holder 4 is connected and fixed with a plug-in rod 401. The plug-in rod 401 is movable and plugged into the inner wall of the payment device 1. There are 50, 20, 10, and 5 yuan in the plurality of money holders 4 respectively. banknotes.

The banknote change mechanism 5 includes a motor B501. The motor B501 is connected and fixed with a turret 502. The turret 502 is connected and fixed with an electric push rod C503. The other end of the electric push rod C503 is connected and fixed with a plurality of electric suction cups 504.

The implementation principle of a payment method that automatically identifies the payment amount in the embodiment of this application is: when making an actual currency payment, the purchaser will be prompted with the price of the product through voice and display, and then the purchaser will place the banknotes or coins into the banknote payment detection mechanism respectively. 3 and in the coin payment change mechanism 2. At this time, the motor A302 will drive the worm 303 to rotate, so that the worm 303 will drive the money transfer rubber rod 305 connected to the worm gear 304 to rotate, thereby driving the banknotes to move down at a constant speed. At this time, the camera equipment will monitor Currency image collection;

Then, the collected coin and banknote images are preprocessed through the banknote and coin image data processing module, including image denoising, image enhancement, image smoothing, and image denoising: random noise in the image can be eliminated through median filtering, making the image Clearer;

Image enhancement: Image enhancement methods include contrast enhancement, brightness adjustment, color balance, etc., to perform image enhancement processing to better identify and detect images of coins and banknotes;

Image smoothing: The smoothing method of mean filtering is used to eliminate details and noise in the image, which can reduce the details and noise in the image and improve the accuracy of recognition;

By using the banknote and coin image feature extraction module to extract the features of coins and banknote images, including color features, texture features, shape features and other data;

For coins: diameter feature: can use image processing technology, such as binarization technology, to detect the diameter of the coin, and use this as one of the features; edge feature: can use edge detection algorithms, such as Sobel, to extract the edge information of the coin as a characteristic;

For banknotes: Face value features: The face value of banknotes is an important feature that can be used to identify and extract face value information through image processing technology. Watermark features: Banknotes usually have watermarks, and the location, size, color and other information of the watermark can be detected through image processing technology. ;

Then the banknote damage detection module is used to detect the damage of the banknotes, including tears, damage, missing corners, etc. Image segmentation technology is used to detect the damaged areas of the banknote images. By calculating the edges and textures on the banknote images, it can detect For damage conditions such as torn, damaged, missing corners, etc., relevant features are extracted from the damaged area, such as the shape, size, location and other information of the damage. These features can be used to train the damage detection model to perform damage detection and damage degree analysis on banknotes. ;

When the damage is normal or not damaged, the money refund seat 306 moves out, and the banknotes will fall into the banknote placement seat 301. When the damage is large, the banknotes will fall onto the money refund seat 306, and then the electric push rod B307 will drive the money back. The seat 306 is moved out and the banknotes are replaced;

Then after the price is calculated, according to the change value, the motor B501 is first used to drive the turret 502 to rotate, and then the electric push rod C503 is used to drive the electric suction cup 504 to move downward, adsorbing the banknotes with the corresponding value, and realizing the change of the banknote part;

Then, the electric push rod A203 is used to drive the coin pushing plate 204 to move, so that the corresponding coins in the coin sorting tube 202 are pushed out to realize the change of the coin part and complete the transaction.

In the above process, this application uses technical means such as banknote and coin image acquisition modules, and is equipped with a coin payment change mechanism, a banknote payment detection mechanism, and a money return seat to realize automatic identification of banknotes and coins when making actual currency payments. , and perform pricing and automatic change. It is suitable for use in automatic vending stores. It avoids the problem of people who do not know how to use smart payment methods being unable to purchase goods. It improves the practicality of the device by setting up a coin payment change mechanism and banknote payment. The detection mechanism realizes the identification and pricing of the payment currency, calculates based on the price of the commodity, and obtains the value of the change. It controls the paper currency change mechanism to absorb the banknotes, and at the same time pushes the coins through the coin pushing plate to realize the change step, thereby completing the transaction. , the money refund seat uses a model to detect the defects of banknotes. When the defect is too large, the electric push rod B will drive the money refund seat to move, push out the incomplete banknotes, and give voice prompts for replacement.

Claims (6)

1. A payment method that automatically identifies the payment amount. This method is based on the following system, including a payment device, a coin payment change mechanism, a paper money payment detection mechanism, a money depositor and a paper money change mechanism. The payment device is connected and fixedly equipped with a coin payment change machine. Mechanism, a banknote payment detection mechanism is fixedly connected to the payment equipment, a plurality of money deposit holders are placed inside the payment equipment, a paper money change mechanism is fixedly connected to the inner wall of the payment equipment, a display and a voice broadcasting device are installed on the payment equipment, and the change for coin payment is The mechanism includes a coin placement seat, a plurality of coin sorting tubes are connected and fixed on the inner wall of the coin placement seat, a plurality of electric push rods A are connected and fixed on the inner wall of the bottom end of the coin placement seat, and a coin pushing plate is connected and fixed on the end of the electric push rod A. , the coin push plate and the inner wall of the coin placement seat are slidingly matched. A camera device is installed in the coin placement seat. The banknote payment detection mechanism includes a banknote placement seat. The inner wall of the banknote placement seat is connected and fixed with a motor A, and the output end of the motor A is connected and fixed. There is a worm, and a worm gear is provided for meshing transmission on both sides of the worm gear. A money transfer rubber rod is fixedly connected to the worm gear. The money transfer rubber rod is rotatably connected to the inner wall of the banknote placement seat. A money return seat is provided on the banknote placement seat for sliding fit. An electric push rod B is fixedly connected between the base and the banknote placement base. A camera device is installed in the banknote placement seat. The bottom of the money deposit seat is connected and fixed with a plug-in rod. The plug-in rod is movable and plugged into the inner wall of the payment device. There are 50, 20, 10, and 5 yuan bills placed in multiple money deposit seats. The banknote and banknote change mechanism includes a motor B. The motor B is connected and fixed with a turret. The turret is connected and fixed with an electric push rod C. The other end of the electric push rod C is connected and fixed with a plurality of electric suction cups; Among them, the coin payment change mechanism and the paper money payment detection mechanism identify and price the paid currency, calculate the value of the change based on the price of the product, control the paper money change mechanism to absorb the banknotes, and at the same time push the coins through the coin pushing plate to change the money and refund the money. The base detects the defects of the banknotes through the model. When the defects are too large, the electric push rod B will drive the refund seat to move, push out the incomplete banknotes, and give voice prompts for replacement; Also includes the following steps: S1. Banknote and coin image acquisition module: The banknote and coin image acquisition module uses equipment such as cameras or scanners to collect coin and banknote image data; S2. Banknote and coin image data processing module: The banknote and coin image data processing module preprocesses the collected coins and banknote images, including image denoising, image enhancement, image smoothing and other processing; S3. Banknote and coin image feature extraction module: The banknote and coin image feature extraction module extracts features of coins and banknote images, including color features, texture features, shape features and other data; S4. Banknote and coin classification and identification module: The banknote and coin classification and identification module uses machine learning or deep learning algorithms to train a classification model to classify and identify coins and banknotes; S5. Banknote damage detection module: The banknote damage detection module detects the damage of banknotes, including torn, damaged, missing corners, etc.; S6. Price change module: The price calculation module calculates the total price of a given commodity based on the recognized coin and banknote information, and automatically calculates the change amount based on the amount paid by the user. 2. The payment method for automatically identifying the payment amount according to claim 1, characterized in that: the banknote and coin image acquisition module uses a camera or scanner to collect coins and banknote images, and can collect front, back and various angles. images to obtain comprehensive information data. 3. The payment method for automatically identifying payment amount according to claim 1, characterized in that: the banknote and coin image data processing module pre-processes the collected coin and banknote images, including image denoising, image enhancement, Image smoothing, image denoising: random noise in the image can be eliminated through median filtering, making the image clearer; Described image enhancement: image enhancement methods include contrast enhancement, brightness adjustment, color balance, etc., to perform image enhancement processing to better identify and detect images of coins and banknotes; The image smoothing: through the smoothing method of mean filtering, details and noise in the image are eliminated, which can reduce the details and noise in the image and improve the accuracy of recognition. 4. The payment method for automatically identifying payment amounts according to claim 1, characterized in that: the banknote and coin image feature extraction module extracts features of coins and banknote images, including color features, texture features, shape features and other data; For coins: diameter feature: can use image processing technology, such as binarization technology, to detect the diameter of the coin, and use this as one of the features; edge feature: can use edge detection algorithms, such as Sobel, to extract the edge information of the coin as a characteristic; For banknotes: Face value features: The face value of banknotes is an important feature that can be used to identify and extract face value information through image processing technology. Watermark features: Banknotes usually have watermarks, and the location, size, color and other information of the watermark can be detected through image processing technology. . 5. The payment method for automatically identifying payment amount according to claim 1, characterized in that: the banknote and coin classification and recognition module selects to use a convolutional neural network to train the model, and can adjust the structure and parameters of the model according to the actual situation. To improve accuracy, evaluate the performance of the model by using the validation set, and understand the accuracy of the model by calculating the model's precision, recall, F1 score and other indicators. 6. The payment method for automatically identifying the payment amount according to claim 1, characterized in that: the banknote damage detection module detects the damage of banknotes, including torn, damaged, missing corners, etc., and uses image segmentation technology to detect banknote images. Detect damaged areas. By calculating features such as edges and textures on banknote images, it can detect torn, damaged, missing corners and other damaged conditions, and extract relevant features from the damaged areas, such as damaged shape, size, location, etc. Information, these features can be used to train damage detection models, perform damage detection and damage degree analysis on banknotes.