CN114543674A - Detection method and system based on image recognition - Google Patents
Detection method and system based on image recognition Download PDFInfo
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- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
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Abstract
The invention relates to the technical field of monitoring management, in particular to a detection method and a detection system based on image recognition, wherein the detection method based on image recognition comprises the steps of acquiring image information matched with a digital space in a digital space forming state, and sequencing the image information to form a standard image set; reading first characteristic information, second characteristic information and third characteristic information in each image information according to the standard image set; verifying the first characteristic information, the second characteristic information and the third characteristic information to form a first verification result; and forming a verification data output according to the first verification result and/or the second verification result.
Description
Technical Field
The invention relates to the technical field of monitoring management, in particular to a detection method and a detection system based on image recognition.
Background
At present, the most adopted breeding mode is big-fence pig breeding, the change of the pig breeding industry from a scattered breeding mode to a large-scale intensive mode is realized, and the breeding mode has the characteristics of large density and large quantity of pigs, has the advantages of saving occupied area, increasing the number of breeding heads in a unit and is suitable for intensive breeding. In a feeding mode of raising pigs in a large fence, the number of pigs is usually checked in an image processing mode, a user shoots images of the pigs in the fence, and the number of the pigs in a farm is determined by checking the pigs in the images. However, if the images are uploaded wrongly, the accurate number of pigs cannot be obtained.
Disclosure of Invention
In view of the above-mentioned drawbacks, the present invention provides a detection method, system, computer-readable storage medium and electronic device based on image recognition, specifically:
in one aspect, the present invention provides a detection method based on image recognition, wherein the detection method comprises:
under the state of digital space formation, acquiring image information matched with the digital space, and sequencing the image information to form a standard image set;
reading first characteristic information, second characteristic information and third characteristic information in each image information according to the standard image set; verifying the first characteristic information, the second characteristic information and the third characteristic information to form a first verification result;
and forming a verification data output according to the first verification result and/or the second verification result.
Preferably, before forming a verification data output according to the first verification result and/or the second verification result, the method for detecting based on image recognition further includes:
under the state of acquiring fourth characteristic information, fifth characteristic information and sixth basic information;
and verifying the fourth characteristic information, the fifth characteristic information and the sixth basic information to form a second verification result.
Preferably, the above detection method based on image recognition, wherein the performing verification processing on the first feature information, the second feature information, and the third feature information to form a first verification result specifically includes:
calculating and forming a first distance difference according to the second characteristic information;
calculating and forming a second distance difference according to the first characteristic information;
and forming a first verification result under the condition that the first distance difference is matched with the first preset distance, the second distance difference is matched with the second preset distance, and the third characteristic information is matched with the preset time information.
Preferably, in the detection method based on image recognition, in a state where the fourth feature information, the fifth feature information, and the sixth basic information are acquired; the verifying the fourth feature information, the fifth feature information, and the sixth basic information to form a second verification result specifically includes:
determining that the fourth feature information matches the sixth basic information in a state where an error value between the fourth feature information and the sixth basic information is less than 10 °;
and forming the second verification result in the state that the fourth feature information matches the sixth basic information and the fourth feature information matches the fifth feature information.
In another aspect, the present invention further provides a detection system based on image recognition, including:
the acquisition unit acquires image information matched with the digital space in a digital space forming state, and performs sequencing processing on the image information to form a standard image set;
the first verification unit reads first characteristic information, second characteristic information and third characteristic information in each image information according to the standard image set; verifying the first characteristic information, the second characteristic information and the third characteristic information to form a first verification result;
and the output unit forms verification data output according to the first verification result and/or the second verification result.
Preferably, the above detection system based on image recognition further includes:
the second verification unit is used for acquiring the fourth characteristic information, the fifth characteristic information and the sixth basic information; and verifying the fourth characteristic information, the fifth characteristic information and the sixth basic information to form a second verification result.
Preferably, the detection system based on image recognition is described above, wherein the first verification unit includes:
a first calculator for calculating and forming a first distance difference according to the second characteristic information;
a second calculator for calculating a second distance difference according to the first characteristic information;
and the third verifier forms a first verification result under the condition that the first distance difference matches the first preset distance, the second distance difference matches the second preset distance, and the third characteristic information matches the preset time information.
Preferably, the image recognition-based detection system as described above, wherein the second verification unit includes,
a fourth calculator that determines that the fourth feature information matches sixth basic information in a state where an error value between the fourth feature information and the sixth basic information is less than 10 °;
and the fifth verifier forms the second verification result in the state that the fourth feature information matches the sixth basic information and the fourth feature information matches the fifth feature information.
In another aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, implements an image recognition-based detection method as described in any one of the above.
Finally, the present application further provides an electronic device, which includes a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the image recognition-based detection method according to any one of the above aspects.
Compared with the prior art, the beneficial effect of this application lies in:
in the application, the corresponding APP is installed in the mobile terminal held by the user, the user can obtain corresponding image data through the handheld APP, and verification processing is performed according to the image data. The image is verified in a verification mode combining time and space so as to ensure the correctness of the image.
Drawings
Fig. 1 is a schematic flowchart of a detection method based on image recognition according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a detection method based on image recognition according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
The method can be applied to a server side and a client side, and is not limited herein. In order to implement an image processing method, the image processing method at least comprises an acquisition device, the acquisition device is connected with a server, the acquisition device can be formed by a mobile terminal, such as a handheld device of a manager or a mobile phone, and a corresponding application is configured or installed on the handheld device or the mobile phone, and the method specifically comprises,
as shown in fig. 1, in the state of forming the digital space, step S110, acquiring image information matched with the digital space, and performing sorting processing on the image information to form a standard image set; and the fifth characteristic information of each picture in the standard image set is matched with the preset threshold information.
When shooting the image information, the user needs to select the house and the column first and shoot the image information matched with the column.
The digital space may be a digital space matched with the physical space and set by the user, for example, the digital space has 10 columns distributed on two sides of the current space, 5 columns on each side, and a passageway for walking in the middle, and is a plan view or a perspective view of the passageway combined with the 10 columns. The number space is provided with a base direction of N-0 °.
The fifth characteristic information is the position indicated by the compass when the picture is taken. For example, when an image in which the direction N is 0 ° is taken as the base direction and the direction N is 0 ° is taken, the threshold value corresponding to the fifth feature information is-45 ° to 45 °, and when the fifth feature information does not match-45 ° to 45 °, this is judged to not match the digital space, and the image is discarded.
Step S120, reading first characteristic information, second characteristic information and third characteristic information in each image information according to the standard image set; verifying the first characteristic information, the second characteristic information and the third characteristic information to form a first verification result;
the images can be acquired by the acquisition device, the standard image set is formed by combining a plurality of images, for example, ten houses needing to be managed currently and ten columns in each house, so that the standard image set has at least one hundred images, and each column has one piece of image information.
The characteristic information may be objective environment or state information when the current image is acquired.
Acquiring first characteristic information matched with each image in the standard image set according to the image; illustratively, the first characteristic information may be house information, which may be acquired by GPS information of the mobile terminal or a gyroscope of the mobile terminal, for example, the user records location information of a shot image when shooting the image, and the house information is formed by the location information.
Acquiring second characteristic information matched with each image in the standard image set according to the image; illustratively, the second feature information may be field information in the stall, and the field information in the stall may be obtained by a gyroscope of the mobile terminal, for example, when the user takes an image, distance difference information between the taken image and the previous picture information is recorded, and the field information is formed by the position information. For example, when the first image information in the current house is shot, at this time, zeroing processing (automatic zeroing or manual zeroing) is performed on the gyroscope, and when the second image information is obtained, the change data recorded by the gyroscope between the first image information and the second image information is calculated and copied into the second image information, and so on, corresponding gyroscope data is recorded in each image information.
Each image in the standard image set acquires third characteristic information matched with the image; illustratively, the third characteristic information may be time information obtained by the mobile terminal, for example, the user records the time information of the shot image when shooting the image, and the third characteristic information is formed by the time information.
As shown in fig. 2, the first feature information, the second feature information, and the third feature information are subjected to verification processing; the method specifically comprises the following steps:
step S1201, calculating and forming a first distance difference according to the second characteristic information; schematically, calculating a first distance difference between two adjacent picture information according to second characteristic information, and forming a first alarm value under the condition that the first distance difference does not match a first preset distance difference; for example, in a state where the difference between the first distance difference result between the first image and the second image and the first distance difference result between the remaining adjacent images is large, the first distance difference is not considered to match the first predetermined distance difference.
The first predetermined distance may be a distance set by the user, or the first predetermined distance formed by most of the distance differences may be selected.
Step S1202, calculating and forming a second distance difference according to the first characteristic information; illustratively, under the condition that the first distance difference is matched with a first preset distance difference, calculating a second distance difference between adjacent buildings according to first characteristic information, and forming a second alarm value under the condition that the second distance difference is not matched with a second preset distance difference; similarly, the second predetermined distance may be a distance set by the user, or the second predetermined distance formed by most of the distance differences may be selected.
Step S1203, a first verification result is formed in a state where the first distance difference matches the first predetermined distance, the second distance difference matches the second predetermined distance, and the third feature information matches the predetermined time information. Illustratively, in a state where the second distance difference matches a second predetermined distance difference, it is determined that a time difference is formed between two adjacent pieces of picture information, and a third alarm value is formed in a state where the time difference does not match the predetermined time difference.
And judging that the images in the standard image set are verified for the first time in a state that the time difference is matched with a preset time difference.
Further, still include:
step S130, in the state of acquiring the fourth characteristic information, the fifth characteristic information and the sixth basic information; and verifying the fourth characteristic information, the fifth characteristic information and the sixth basic information to form a second verification result.
The fourth characteristic information is an inclination angle of the mobile terminal when the gyroscope acquires a shot image.
The sixth basic information is an image angle based on image formation, and a specific formation manner thereof is:
acquiring first type reference line information in a picture; the reference lines of the first type may be all straight lines having an intersection point.
Calculating the reference area of each reference region according to the first type of reference information, and taking the first type of reference information matched with the maximum value of the reference area as basic information; namely, under the state that an intersection point exists, at least two first-class reference lines form a closed area, and the area in the closed area is calculated. (note that the four frame lines of the image also serve as lines for calculating the closed region).
And acquiring an included angle between the basic information and the basic auxiliary line, and forming the sixth basic information by using the minimum included angle.
Under the state of acquiring fourth characteristic information, fifth characteristic information and sixth basic information; the verifying the fourth feature information, the fifth feature information, and the sixth basic information to form a second verification result specifically includes:
step 1301, determining that the fourth feature information matches the sixth basic information when an error value between the fourth feature information and the sixth basic information is less than 10 °;
step 1302, forming the second verification result in a state that the fourth feature information matches the fifth feature information.
And 140, forming a verification data output according to the first verification result and/or the second verification result. Namely, when the first verification result and the second verification result are both true, data which is verified to be true is formed, otherwise, the verification is not passed.
In the application, the corresponding APP is installed in the mobile terminal held by the user, the user can acquire corresponding image data through the handheld APP, and verification processing is performed according to the image data. And verifying the image in a time and space combined verification mode to ensure the correctness of the image.
Example two
In another aspect, the present invention further provides a detection system based on image recognition, including:
the acquisition unit acquires image information matched with the digital space in a digital space forming state, and performs sequencing processing on the image information to form a standard image set;
the first verification unit reads first characteristic information, second characteristic information and third characteristic information in each image information according to the standard image set; verifying the first characteristic information, the second characteristic information and the third characteristic information to form a first verification result;
and the output unit forms verification data output according to the first verification result and/or the second verification result.
As a further preferred embodiment, the above detection system based on image recognition further comprises:
the second verification unit is used for acquiring the fourth characteristic information, the fifth characteristic information and the sixth basic information; and verifying the fourth characteristic information, the fifth characteristic information and the sixth basic information to form a second verification result.
As a further preferred embodiment, the above-mentioned detection system based on image recognition, wherein the first verification unit includes:
a first calculator for calculating and forming a first distance difference according to the second characteristic information;
a second calculator for calculating a second distance difference according to the first characteristic information;
and the third verifier forms a first verification result under the condition that the first distance difference matches the first preset distance, the second distance difference matches the second preset distance, and the third characteristic information matches the preset time information.
As a further preferred embodiment, the above-mentioned image recognition-based detection system, wherein the second verification unit comprises,
a fourth calculator that determines that the fourth feature information matches sixth basic information in a state where an error value between the fourth feature information and the sixth basic information is less than 10 °;
and the fifth verifier forms the second verification result in the state that the fourth feature information matches the sixth basic information and the fourth feature information matches the fifth feature information.
The working principle of the above embodiment is the same as that provided in the first embodiment, and the obtained technical effects are the same, which are not described herein again.
EXAMPLE III
In still another aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, implements any one of the detection methods based on image recognition, specifically:
under the state of digital space formation, acquiring image information matched with the digital space, and sequencing the image information to form a standard image set;
reading first characteristic information, second characteristic information and third characteristic information in each image information according to the standard image set; verifying the first characteristic information, the second characteristic information and the third characteristic information to form a first verification result;
and forming a verification data output according to the first verification result and/or the second verification result.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the computer system in which the program is executed, or may be located in a different second computer system connected to the computer system through a network (such as the internet). The second computer system may provide the program instructions to the computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application contains computer-executable instructions, and the computer-executable instructions are not limited to the VR device image processing described above, and may also perform related operations in the image processing method provided in any embodiment of the present application.
Example four
An embodiment of the present application provides an electronic device, and fig. 3 is a schematic structural diagram of an electronic device provided in a fourth embodiment of the present application. As shown in fig. 3, the present embodiment provides an electronic device 400, which includes: one or more processors 420; storage 410 to store one or more programs that, when executed by the one or more processors 420, cause the one or more processors 420 to implement:
under the state of digital space formation, acquiring image information matched with the digital space, and sequencing the image information to form a standard image set;
reading first characteristic information, second characteristic information and third characteristic information in each image information according to the standard image set; verifying the first characteristic information, the second characteristic information and the third characteristic information to form a first verification result;
and forming a verification data output according to the first verification result and/or the second verification result.
As shown in fig. 3, the electronic device 400 includes a processor 420, a storage device 410, an input device 430, and an output device 440; the number of the processors 420 in the electronic device may be one or more, and one processor 420 is taken as an example in fig. 3; the processor 420, the storage device 410, the input device 430, and the output device 440 in the electronic apparatus may be connected by a bus or other means, and are exemplified by a bus 450 in fig. 3.
The storage device 410 is a computer-readable storage medium, and can be used for storing software programs, computer executable programs, and module units, such as program instructions corresponding to the image processing method in the embodiment of the present application.
The storage device 410 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the storage 410 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, storage 410 may further include memory located remotely from processor 420, which may be connected via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 430 may be used to receive input numerals, character information, or voice information, and to generate key signal inputs related to user settings and function control of the electronic device. The output device 440 may include a display screen, speakers, etc.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A detection method based on image recognition is characterized by comprising the following steps:
under the state of digital space formation, acquiring image information matched with the digital space, and sequencing the image information to form a standard image set;
reading first characteristic information, second characteristic information and third characteristic information in each image information according to the standard image set; verifying the first characteristic information, the second characteristic information and the third characteristic information to form a first verification result;
and forming a verification data output according to the first verification result and/or the second verification result.
2. The image recognition-based detection method according to claim 1, wherein before forming a verification data output according to the first verification result and/or the second verification result, the method further comprises:
and under the state of acquiring the fourth characteristic information, the fifth characteristic information and the sixth basic information, verifying the fourth characteristic information, the fifth characteristic information and the sixth basic information to form a second verification result.
3. The image recognition-based detection method according to claim 1, wherein the verifying the first feature information, the second feature information, and the third feature information to form a first verification result specifically includes:
calculating and forming a first distance difference according to the second characteristic information;
calculating and forming a second distance difference according to the first characteristic information;
and forming a first verification result under the condition that the first distance difference is matched with the first preset distance, the second distance difference is matched with the second preset distance, and the third characteristic information is matched with the preset time information.
4. The image recognition-based detection method according to claim 3, wherein in a state where fourth feature information, fifth feature information, and sixth basic information are acquired; the verifying the fourth feature information, the fifth feature information, and the sixth basic information to form a second verification result specifically includes:
determining that the fourth feature information matches the sixth basic information in a state where an error value between the fourth feature information and the sixth basic information is less than 10 °;
and forming the second verification result in the state that the fourth feature information matches the sixth basic information and the fourth feature information matches the fifth feature information.
5. An image recognition-based detection system, comprising:
the acquisition unit acquires image information matched with the digital space in a digital space forming state, and performs sequencing processing on the image information to form a standard image set;
the first verification unit reads first characteristic information, second characteristic information and third characteristic information in each image information according to the standard image set; verifying the first characteristic information, the second characteristic information and the third characteristic information to form a first verification result;
and the output unit forms verification data output according to the first verification result and/or the second verification result.
6. The image recognition-based detection system according to claim 1, further comprising:
the second verification unit is used for acquiring the fourth characteristic information, the fifth characteristic information and the sixth basic information; and performing verification processing on the fourth feature information, the fifth feature information and the sixth basic information to form a second verification result.
7. The image recognition-based detection system according to claim 1, wherein the first verification unit comprises:
a first calculator for calculating and forming a first distance difference according to the second characteristic information;
a second calculator for calculating a second distance difference according to the first characteristic information;
and the third verifier forms a first verification result under the condition that the first distance difference matches the first preset distance, the second distance difference matches the second preset distance, and the third characteristic information matches the preset time information.
8. An image recognition-based detection system according to claim 6, wherein: the second authentication unit includes a second authentication unit including,
a fourth calculator that determines that the fourth feature information matches sixth basic information in a state where an error value between the fourth feature information and the sixth basic information is less than 10 °;
and the fifth verifier forms the second verification result in the state that the fourth feature information matches the sixth basic information and the fourth feature information matches the fifth feature information.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method of image recognition-based detection according to any one of claims 1 to 4.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements an image recognition based detection method according to any one of claims 1 to 4 when executing the computer program.
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