CN111429647A - Beverage bottle recovery system and method - Google Patents
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- 235000013361 beverage Nutrition 0.000 title claims abstract description 115
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000011084 recovery Methods 0.000 title abstract description 8
- 238000012795 verification Methods 0.000 claims abstract description 14
- 238000004064 recycling Methods 0.000 claims description 27
- 238000006243 chemical reaction Methods 0.000 claims description 15
- 238000007781 pre-processing Methods 0.000 claims description 12
- 238000012545 processing Methods 0.000 claims description 10
- 239000011521 glass Substances 0.000 claims description 7
- 238000005303 weighing Methods 0.000 claims description 6
- 230000010339 dilation Effects 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
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- 238000013473 artificial intelligence Methods 0.000 description 1
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- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- G07F7/06—Mechanisms actuated by objects other than coins to free or to actuate vending, hiring, coin or paper currency dispensing or refunding apparatus by returnable containers, i.e. reverse vending systems in which a user is rewarded for returning a container that serves as a token of value, e.g. bottles
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Abstract
The invention relates to a beverage bottle recovery system and a method, which comprises the following steps: step 201, obtaining a login request instruction of a user, obtaining and verifying login information of the user, if the verification is successful, turning to step 202, and if the verification is failed, skipping to an initial interface; step 202, acquiring account information of a user in a cloud server; step 203, acquiring image information of the beverage bottle in the identification area and the weight M of the beverage bottle, and identifying the image information of the beverage bottle to obtain the type of the beverage bottle; and step 204, obtaining the exchange points according to the types of the beverage bottles and the weight M of the beverage bottles, and adding the exchange points into the points recorded by the cloud server of the user. The type of beverage bottle is confirmed through the mode that adopts intelligent recognition to weigh the beverage bottle, obtain user's exchange total mark and then obtain the reward amount of money according to the weight of beverage bottle and type, can promote the recovery of beverage bottle, and intelligent degree is high, and is very convenient.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a beverage bottle recovery system and method.
Background
At present, the garbage gratuitous classification or low-value classification has no return of benefit to garbage throwing people, and also has larger difficulty in garbage disposal. Such activities must be done according to market rules before they can develop continuously.
Aiming at pop-top cans, mineral water bottles and glass bottles which have relatively high recycling value and are easy to recycle and identify, corresponding treatment measures are not provided in the current market, so that most people can treat the cans in a mess and cannot recycle the cans, which is undoubtedly a loss.
The current market needs a system and a method which can enable people to voluntarily recycle beverage bottles, so that the beverage bottles with higher recycling value can be recycled, and a certain protection effect on the environment is achieved.
Disclosure of Invention
The invention aims to solve the defects of the prior art and provides a beverage bottle recovery system and a beverage bottle recovery method.
In order to achieve the purpose, the invention adopts the following technical scheme:
a beverage bottle recycling system is provided, comprising:
the login request instruction acquisition module is a mechanical button arranged on the recycling bin or a virtual button arranged on a human-computer interaction interface of the recycling bin and is used for login verification when triggered;
the cloud server is used for storing account information of the user, wherein the account information comprises the name of the user, a bound bank account, an identification number and the integral of the user, and the account information of the user is added, deleted, changed and checked when the cloud server is connected;
the login verification module is used for verifying login information of a user;
the beverage bottle type identification module is used for photographing the beverage bottle and identifying the type of the beverage bottle according to the image information obtained by photographing;
the weighing module is used for weighing the beverage bottle identified by the beverage bottle type identification module to obtain the weight M of the beverage bottle;
and the point conversion module is used for obtaining the exchange points according to the types of the beverage bottles and the weight M of the beverage bottles.
Also provides a beverage bottle recycling method, which comprises the following steps:
step 201, obtaining a login request instruction of a user, obtaining and verifying login information of the user, if the verification is successful, turning to step 202, and if the verification is failed, skipping to an initial interface;
202, acquiring account information of a user in a cloud server, wherein the account information comprises the name of the user, a bound bank account, an identification number and a score of the user, and the score can be converted into a bonus to be presented to the bound bank account according to a proportion;
step 203, acquiring image information of the beverage bottle in the identification area and the weight M of the beverage bottle, and identifying the image information of the beverage bottle to obtain the type of the beverage bottle;
and step 204, obtaining the exchange points according to the types of the beverage bottles and the weight M of the beverage bottles, adding the exchange points into the points recorded by the cloud server of the user, and controlling the recycling bin to swallow the beverage bottles.
Further, the manner of obtaining and verifying the login information of the user in step 201 is as follows: the user selects any one of the modes of face recognition, fingerprint recognition, window account password recognition, payment treasure and WeChat scanning two-dimensional code recognition login for recognition.
Further, the image recognition method for the beverage bottle in step 203 specifically includes the following steps:
step 401, performing a first preprocessing operation on the image information of the beverage bottle to obtain a first image;
step 402, performing a second preprocessing operation on the first image to obtain a second image;
step 403, extracting the contour of the second image, screening the contour which does not meet the requirement, eliminating the interference of a disordered contour region on classification identification, and obtaining a third image;
step 404, respectively calculating the hash similarity between the third image and a template image, wherein the template image is the image of each type of beverage bottle obtained through the processing from the step 401 to the step 403;
and step 405, taking the bottle type corresponding to the highest hash similarity as an identification result.
Further, the first preprocessing operation in step 401 is specifically to remove an unnecessary background area of the image information of the beverage bottle to obtain a removed three-channel original image, i.e., a first image.
Further, the second preprocessing operation in the step 402 specifically includes the following steps:
601, carrying out gray processing on the first image to obtain a fourth image;
step 602, performing smooth filtering and denoising on the fourth image to obtain a fifth image;
603, performing binarization threshold processing on the fifth image through an Otsu algorithm to obtain a sixth image which is a main area range image of the beverage bottle;
and step 604, performing an opening operation with the structural element of 9 × 9 and performing dilation operations with the structural elements of 11 × 11 and 5 × 5 to the sixth image to obtain a second image.
Further, the operation of performing contour extraction on the second image in step 403 specifically includes: the beverage bottle contour in the second image is found through a contour lookup function findContours in an OpenCV library, and the contour size is limited to be larger than 100.
Further, the obtaining of the redemption score according to the type of the beverage bottle and the weight M of the beverage bottle in the step 204 specifically includes:
the beverage bottles are divided into 3 major categories, namely glass bottles, plastic bottles and pop cans, the integral conversion coefficient per gram of the glass bottles is set to be a, the integral conversion coefficient per gram of the plastic bottles is set to be b, the integral conversion coefficient per gram of the pop cans is set to be c, and then the conversion integral can be obtained by multiplying the type of the beverage bottles corresponding to the weight M by the coefficient.
The invention can obtain the following beneficial effects when adopting the system and the method:
the method and the device can determine the type of the beverage bottle by adopting an intelligent identification mode, weigh the beverage bottle, obtain the exchange point of a user according to the weight and the type of the beverage bottle so as to obtain the reward amount, can promote the recovery of the beverage bottle, and have high intelligent degree and great convenience.
Drawings
Fig. 1 is a flow chart of a beverage bottle recycling method according to the present invention.
Detailed Description
The conception, the specific structure and the technical effects of the present invention will be clearly and completely described in conjunction with the embodiments and the accompanying drawings to fully understand the objects, the schemes and the effects of the present invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The same reference numbers will be used throughout the drawings to refer to the same or like parts.
Referring to fig. 1, the present invention provides a beverage bottle recycling system, comprising:
the login request instruction acquisition module is a mechanical button arranged on the recycling bin or a virtual button arranged on a human-computer interaction interface of the recycling bin and is used for login verification when triggered;
the cloud server is used for storing account information of the user, wherein the account information comprises the name of the user, a bound bank account, an identification number and the integral of the user, and the account information of the user is added, deleted, changed and checked when the cloud server is connected;
the login verification module is used for verifying login information of a user;
the beverage bottle type identification module is used for photographing the beverage bottle and identifying the type of the beverage bottle according to the image information obtained by photographing;
the weighing module is used for weighing the beverage bottle identified by the beverage bottle type identification module to obtain the weight M of the beverage bottle;
and the point conversion module is used for obtaining the exchange points according to the types of the beverage bottles and the weight M of the beverage bottles.
Also provides a beverage bottle recycling method, which comprises the following steps:
step 201, obtaining a login request instruction of a user, obtaining and verifying login information of the user, if the verification is successful, turning to step 202, and if the verification is failed, skipping to an initial interface;
202, acquiring account information of a user in a cloud server, wherein the account information comprises the name of the user, a bound bank account, an identification number and a score of the user, and the score can be converted into a bonus to be presented to the bound bank account according to a proportion;
step 203, acquiring image information of the beverage bottle in the identification area and the weight M of the beverage bottle, and identifying the image information of the beverage bottle to obtain the type of the beverage bottle;
and step 204, obtaining the exchange points according to the types of the beverage bottles and the weight M of the beverage bottles, adding the exchange points into the points recorded by the cloud server of the user, and controlling the recycling bin to swallow the beverage bottles.
In a preferred embodiment of the present invention, the method for obtaining and verifying the login information of the user in step 201 comprises: the user selects any one of the modes of face recognition, fingerprint recognition, window account password recognition, payment treasure and WeChat scanning two-dimensional code recognition login for recognition.
As a preferred embodiment of the present invention, the method for image recognition of the beverage bottle in the step 203 specifically includes the following steps:
step 401, performing a first preprocessing operation on the image information of the beverage bottle to obtain a first image;
step 402, performing a second preprocessing operation on the first image to obtain a second image;
step 403, extracting the contour of the second image, screening the contour which does not meet the requirement, eliminating the interference of a disordered contour region on classification identification, and obtaining a third image;
step 404, respectively calculating the hash similarity between the third image and a template image, wherein the template image is the image of each type of beverage bottle obtained through the processing from the step 401 to the step 403;
and step 405, taking the bottle type corresponding to the highest hash similarity as an identification result.
As a preferred embodiment of the present invention, the first preprocessing operation in step 401 is specifically to remove an unnecessary background region of the image information of the beverage bottle to obtain a three-channel original image after removal, that is, a first image.
As a preferred embodiment of the present invention, the second preprocessing operation in step 402 specifically includes the following steps:
601, carrying out gray processing on the first image to obtain a fourth image;
step 602, performing smooth filtering and denoising on the fourth image to obtain a fifth image;
603, performing binarization threshold processing on the fifth image through an Otsu algorithm to obtain a sixth image which is a main area range image of the beverage bottle;
and step 604, performing an opening operation with the structural element of 9 × 9 and performing dilation operations with the structural elements of 11 × 11 and 5 × 5 to the sixth image to obtain a second image.
As a preferred embodiment of the present invention, the operation of extracting the contour of the second image in step 403 is specifically: the beverage bottle contour in the second image is found through a contour lookup function findContours in an OpenCV library, and the contour size is limited to be larger than 100.
As a preferred embodiment of the present invention, the obtaining of the redemption score according to the type of the beverage bottle and the weight M of the beverage bottle in the step 204 is specifically:
the beverage bottles are divided into 3 major categories, namely glass bottles, plastic bottles and pop cans, the integral conversion coefficient per gram of the glass bottles is set to be a, the integral conversion coefficient per gram of the plastic bottles is set to be b, the integral conversion coefficient per gram of the pop cans is set to be c, then the conversion integral can be obtained by multiplying the type of the beverage bottles corresponding to the weight M by the coefficient, wherein a, b and c are constants which can be set manually.
When the beverage bottle recycling system is operated, firstly, a user is connected with a cloud server through one mode of password login, fingerprint login or face recognition login, a recycling box retrieves user information in the cloud server, then the user places a beverage bottle in a recognition area, the recycling box recognizes the beverage bottle to determine the type of the beverage bottle, the beverage bottle is weighed, the number of points exchanged at this time is obtained by combining the type and the weight of the beverage bottle according to a preset number of points exchange coefficient, and the obtained number of points is added to the cloud server to complete the recycling at this time.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium and can implement the steps of the above-described method embodiments when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, etc. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
While the present invention has been described in considerable detail and with particular reference to a few illustrative embodiments thereof, it is not intended to be limited to any such details or embodiments or any particular embodiments, but it is to be construed as effectively covering the intended scope of the invention by providing a broad, potential interpretation of such claims in view of the prior art with reference to the appended claims. Furthermore, the foregoing describes the invention in terms of embodiments foreseen by the inventor for which an enabling description was available, notwithstanding that insubstantial modifications of the invention, not presently foreseen, may nonetheless represent equivalent modifications thereto.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and the present invention shall fall within the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.
Claims (8)
1. A beverage bottle recycling system, comprising:
the login request instruction acquisition module is a mechanical button arranged on the recycling bin or a virtual button arranged on a human-computer interaction interface of the recycling bin and is used for login verification when triggered;
the cloud server is used for storing account information of the user, wherein the account information comprises the name of the user, a bound bank account, an identification number and the integral of the user, and the account information of the user is added, deleted, changed and checked when the cloud server is connected;
the login verification module is used for verifying login information of a user;
the beverage bottle type identification module is used for photographing the beverage bottle and identifying the type of the beverage bottle according to the image information obtained by photographing;
the weighing module is used for weighing the beverage bottle identified by the beverage bottle type identification module to obtain the weight M of the beverage bottle;
and the point conversion module is used for obtaining the exchange points according to the types of the beverage bottles and the weight M of the beverage bottles.
2. A beverage bottle recycling method is characterized by comprising the following steps:
step 201, obtaining a login request instruction of a user, obtaining and verifying login information of the user, if the verification is successful, turning to step 202, and if the verification is failed, skipping to an initial interface;
202, acquiring account information of a user in a cloud server, wherein the account information comprises the name of the user, a bound bank account, an identification number and a score of the user, and the score can be converted into a bonus to be presented to the bound bank account according to a proportion;
step 203, acquiring image information of the beverage bottle in the identification area and the weight M of the beverage bottle, and identifying the image information of the beverage bottle to obtain the type of the beverage bottle;
and step 204, obtaining the exchange points according to the types of the beverage bottles and the weight M of the beverage bottles, adding the exchange points into the points recorded by the cloud server of the user, and controlling the recycling bin to swallow the beverage bottles.
3. The beverage bottle recycling method according to claim 2, wherein the login information obtained in the step 201 and verified by the user is obtained by: the user selects any one of the modes of face recognition, fingerprint recognition, window account password recognition, payment treasure and WeChat scanning two-dimensional code recognition login for recognition.
4. The beverage bottle recycling method according to claim 2, wherein the image recognition of the beverage bottle in the step 203 specifically comprises the following steps:
step 401, performing a first preprocessing operation on the image information of the beverage bottle to obtain a first image;
step 402, performing a second preprocessing operation on the first image to obtain a second image;
step 403, extracting the contour of the second image, screening the contour which does not meet the requirement, eliminating the interference of a disordered contour region on classification identification, and obtaining a third image;
step 404, respectively calculating the hash similarity between the third image and a template image, wherein the template image is the image of each type of beverage bottle obtained through the processing from the step 401 to the step 403;
and step 405, taking the bottle type corresponding to the highest hash similarity as an identification result.
5. The method as claimed in claim 4, wherein the first preprocessing operation in step 401 is to remove an unnecessary background region of the image information of the beverage bottle to obtain a removed three-channel original image, i.e. the first image.
6. The beverage bottle recycling method according to claim 4, wherein the second preprocessing operation in step 402 specifically comprises the following steps:
601, carrying out gray processing on the first image to obtain a fourth image;
step 602, performing smooth filtering and denoising on the fourth image to obtain a fifth image;
603, performing binarization threshold processing on the fifth image through an Otsu algorithm to obtain a sixth image which is a main area range image of the beverage bottle;
and step 604, performing an opening operation with the structural element of 9 × 9 and performing dilation operations with the structural elements of 11 × 11 and 5 × 5 to the sixth image to obtain a second image.
7. The beverage bottle recycling method according to claim 4, wherein the operation of performing contour extraction on the second image in the step 403 is specifically: the beverage bottle contour in the second image is found through a contour lookup function findContours in an OpenCV library, and the contour size is limited to be larger than 100.
8. The method for recycling beverage bottles of claim 2, wherein the obtaining of the redemption points according to the type of the beverage bottle and the weight M of the beverage bottle in the step 204 is specifically:
the beverage bottles are divided into 3 major categories, namely glass bottles, plastic bottles and pop cans, the integral conversion coefficient per gram of the glass bottles is set to be a, the integral conversion coefficient per gram of the plastic bottles is set to be b, the integral conversion coefficient per gram of the pop cans is set to be c, and then the conversion integral can be obtained by multiplying the type of the beverage bottles corresponding to the weight M by the coefficient.
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| CN202010138970.3A CN111429647A (en) | 2020-03-03 | 2020-03-03 | Beverage bottle recovery system and method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113642744A (en) * | 2021-07-12 | 2021-11-12 | 广东机电职业技术学院 | Data processing method, system, device and storage medium for bottle recycling |
| CN115090559A (en) * | 2022-08-26 | 2022-09-23 | 启东市云鹏玻璃机械有限公司 | Glass bottle recycling and impurity removing method and system based on image processing |
| TWI816125B (en) * | 2020-09-14 | 2023-09-21 | 大陸商陶朗環保技術（廈門）有限公司 | Anti-fraud method for beverage bottle recycling and beverage bottle recycling machine |
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| CN110852787A (en) * | 2019-10-16 | 2020-02-28 | 广东智购科技有限公司 | System and method for exchanging garbage into gift |
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| TWI816125B (en) * | 2020-09-14 | 2023-09-21 | 大陸商陶朗環保技術（廈門）有限公司 | Anti-fraud method for beverage bottle recycling and beverage bottle recycling machine |
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