CN112967467B - Cultural relic anti-theft method, system, mobile terminal and storage medium - Google Patents
Cultural relic anti-theft method, system, mobile terminal and storage medium Download PDFInfo
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- CN112967467B CN112967467B CN202110208415.8A CN202110208415A CN112967467B CN 112967467 B CN112967467 B CN 112967467B CN 202110208415 A CN202110208415 A CN 202110208415A CN 112967467 B CN112967467 B CN 112967467B
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- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
- G08B13/19613—Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
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Abstract
The invention provides a cultural relic anti-theft method, a system, a mobile terminal and a storage medium, wherein the method comprises the following steps: acquiring a shot image of a target cultural relic and illumination information of a current environment; inquiring an image detection rule according to the illumination information, and inquiring target image information according to the image detection rule and the cultural relic identification of the target cultural relic; carrying out image detection on the shot image according to an image detection rule to obtain image detection information, and carrying out information comparison on the image detection information and target image information; and if the information comparison is not qualified, sending an anti-theft prompt aiming at the target cultural relic. According to the invention, the anti-theft detection of the cultural relics is carried out by adopting an information comparison mode so as to detect whether the target cultural relics in the shot image are changed, namely, when the information comparison between the image detection information and the target image information is unqualified, the change of the target cultural relics in the shot image is judged, and the anti-theft prompt is sent aiming at the target cultural relics so as to prompt the staff to carry out manual check.
Description
Technical Field
The invention relates to the technical field of cultural relic anti-theft, in particular to a cultural relic anti-theft method, a cultural relic anti-theft system, a mobile terminal and a storage medium.
Background
The existing cultural relic anti-theft method adopts an infrared ray mode for detection, but the accuracy of the infrared ray detection mode is low, so that the cultural relic anti-theft effect is poor, and the security of the cultural relic anti-theft is reduced.
Disclosure of Invention
The embodiment of the invention aims to provide a cultural relic anti-theft method, a cultural relic anti-theft system, a mobile terminal and a storage medium, and aims to solve the problem of low cultural relic anti-theft safety caused by infrared detection in the existing cultural relic anti-theft process.
The embodiment of the invention is realized in such a way that a cultural relic anti-theft method comprises the following steps:
acquiring a shot image of a target cultural relic, and acquiring illumination information of the current environment of the target cultural relic;
inquiring an image detection rule according to the illumination information, and inquiring target image information according to the image detection rule and the cultural relic identification of the target cultural relic;
performing image detection on the shot image according to the image detection rule to obtain image detection information, and performing information comparison on the image detection information and the target image information;
and if the information comparison between the image detection information and the target image information is unqualified, sending an anti-theft prompt aiming at the target cultural relic.
Further, the step of acquiring the illumination information of the current environment where the target cultural relic is located includes:
acquiring a cultural relic identifier of the target cultural relic, and determining an environment identifier of the current environment according to the cultural relic identifier;
and acquiring current time, and inquiring information according to the current time and the environment identifier to obtain the illumination information corresponding to the current environment, wherein the illumination information comprises an illumination angle, illumination intensity and light source parameters.
Further, the step of performing image detection on the captured image according to the image detection rule includes:
extracting a cultural relic shadow image corresponding to the target cultural relic in the shot image, and carrying out image filtering on the cultural relic shadow image according to the filtering parameters stored in the image detection rule to obtain a cultural relic filtering image;
performing image overlapping processing on the historical relic filtering image according to the image overlapping parameters stored in the image detection rule to obtain a historical relic overlapping image;
image cutting is carried out on the cultural relic overlapped image according to the cutting coordinates stored in the image detection rule, and a cultural relic cutting image is obtained;
And extracting the image contour in the cultural relic cutting image to obtain the image detection information.
Further, the step of comparing the image detection information with the target image information includes:
comparing the image contour stored in the image detection information with the image contour stored in the target image information to obtain contour similarity;
if the contour similarity is smaller than a similarity threshold value, judging that the information comparison between the image detection information and the target image information is unqualified;
and if the contour similarity is greater than or equal to the similarity threshold, judging that the information comparison between the image detection information and the target image information is qualified.
Further, after the step of obtaining the shot image of the target cultural relic, the method further comprises the following steps:
detecting foreign matters in the shot image;
and if the foreign object is detected to exist in the shot image, performing type identification on the foreign object to obtain a foreign object type, and sending a foreign object prompt according to the foreign object type.
Further, the step of detecting the foreign matter in the captured image includes:
Carrying out corrosion treatment on the shot image to obtain a corrosion image, and extracting an image outline in the corrosion image;
carrying out contour screening on the extracted image contour, and carrying out contour comparison on a preset contour image and the screened image contour;
and if the image similarity between the screened image contour and the preset contour image is greater than the preset similarity, judging that the foreign object exists in the shot image.
Another object of an embodiment of the present invention is to provide a system for preventing theft of cultural relics, the system including:
the illumination information acquisition module is used for acquiring a shot image of the target cultural relic and acquiring illumination information of the current environment of the target cultural relic;
the image information query module is used for querying an image detection rule according to the illumination information and querying target image information according to the image detection rule and the cultural relic identification of the target cultural relic;
the image detection module is used for carrying out image detection on the shot image according to the image detection rule to obtain image detection information and carrying out information comparison on the image detection information and the target image information;
and the anti-theft prompting module is used for sending an anti-theft prompt aiming at the target cultural relic if the information comparison between the image detection information and the target image information is unqualified.
Further, the illumination information obtaining module is further configured to:
acquiring a cultural relic identifier of the target cultural relic, and determining an environment identifier of the current environment according to the cultural relic identifier;
and acquiring current time, and inquiring information according to the current time and the environment identifier to obtain the illumination information corresponding to the current environment, wherein the illumination information comprises an illumination angle, illumination intensity and light source parameters.
Another object of an embodiment of the present invention is to provide a storage medium, which stores a computer program used in the mobile terminal, wherein the computer program, when executed by a processor, implements the steps of the above-mentioned cultural relic anti-theft method.
The embodiment of the invention effectively improves the accuracy of inquiring the image detection rule by obtaining the illumination information of the current environment of the target cultural relic, can effectively detect the image of the shot image by the image detection rule to obtain the image detection information corresponding to the shot image, and effectively improves the accuracy of information comparison between the image detection information and the target image information by inquiring the target image information according to the image detection rule and the cultural relic identification of the target cultural relic. The anti-theft alarm is used for prompting workers to manually check, so that the anti-theft accuracy of cultural relics is improved.
Drawings
Fig. 1 is a flow chart of a cultural relic anti-theft method provided by a first embodiment of the invention;
FIG. 2 is a flow chart of a cultural relic anti-theft method provided by a second embodiment of the invention;
fig. 3 is a schematic structural diagram of a cultural relic anti-theft system provided by a third embodiment of the invention;
fig. 4 is a schematic structural diagram of a mobile terminal according to a fourth embodiment of the present invention;
the following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Example one
Referring to fig. 1, a flowchart of a cultural relic anti-theft method according to a first embodiment of the present invention is shown, which includes the following steps:
step S10, acquiring a shot image of a target cultural relic, and acquiring illumination information of the current environment of the target cultural relic;
the shooting device is used for shooting the target cultural relics to obtain shot images corresponding to the target cultural relics, and the shooting device can be a camera or any device with a shooting function.
In the step, the accuracy of follow-up image detection rule query is effectively improved by acquiring the illumination information of the current environment of the target cultural relic.
Specifically, in this step, the step of obtaining the illumination information of the current environment where the target cultural relic is located includes:
acquiring a cultural relic identifier of the target cultural relic, and determining an environment identifier of the current environment according to the cultural relic identifier;
acquiring current time, and inquiring information according to the current time and the environment identifier to obtain the illumination information corresponding to the current environment;
the cultural relic identification can be used for indicating information such as a storage address or a placement position of the target cultural relic.
In this step, the illumination information includes an illumination angle, an illumination intensity, and a light source parameter, the light source parameter is information of a light source corresponding to the target cultural relic, the light source is used for performing light irradiation on the target cultural relic, the illumination angle is an angle at which the light source irradiates the target cultural relic at the current time, and the illumination intensity is a strength of light at which the light source irradiates the target cultural relic at the current time.
Specifically, the environment identifier of the current environment is obtained by matching the cultural relic identifier of the target cultural relic with a pre-stored identifier lookup table, where the corresponding relationship between different cultural relic identifiers and corresponding environment identifiers is stored in the pre-stored identifier lookup table.
Step S20, inquiring an image detection rule according to the illumination information, and inquiring target image information according to the image detection rule and the cultural relic identification of the target cultural relic;
and performing information query according to the image detection rule and the cultural relic identification of the target cultural relic to obtain target image information corresponding to the target cultural relic under the current time and the illumination information.
Specifically, in this step, the target image information stores a shadow image and/or a contour image of the target cultural relic corresponding to the current time and the illumination information.
Step S30, carrying out image detection on the shot image according to the image detection rule to obtain image detection information, and carrying out information comparison on the image detection information and the target image information;
the image detection rule can effectively perform image detection on the shot image to obtain image detection information corresponding to the shot image, and the image detection information is compared with the target image information to perform the detection of the theft prevention of the cultural relic in an information comparison mode so as to detect whether the target cultural relic in the shot image changes.
In the step, if the information comparison between the image detection information and the target image information is qualified, it is determined that the target cultural relic in the shot image is not changed, that is, the target cultural relic is not unknown or changed in form, and an anti-theft prompt is not required.
Step S40, if the information comparison between the image detection information and the target image information is not qualified, sending an anti-theft prompt aiming at the target cultural relic;
if the information comparison between the image detection information and the target image information is unqualified, the target cultural relic in the shot image is judged to have changed, and the anti-theft prompt is sent to the target cultural relic to prompt a worker to manually check, so that the accuracy of the anti-theft of the cultural relic is improved.
Optionally, in this embodiment, after the step of obtaining the captured image of the target cultural relic, the method further includes:
performing foreign object detection on the shot image, wherein the foreign object detection is used for detecting whether a foreign object exists in the shot image;
if the foreign object is detected to exist in the shot image, performing type recognition on the foreign object to obtain a foreign object type, and sending a foreign object prompt according to the foreign object type;
If the foreign body object is detected to exist in the shot image, the type of the foreign body object is identified to obtain the foreign body type corresponding to the foreign body object, and the foreign body prompt is sent according to the foreign body type to achieve the effect of sending the corresponding prompt according to different foreign body types.
Preferably, the foreign matter prompt can be prompted in a voice mode, a character mode or an image mode, the foreign matter prompts corresponding to different foreign matter types are different, when the foreign matter prompt is performed in the voice mode, the foreign matter prompt is prompt voice corresponding to the foreign matter type, when the foreign matter prompt is performed in the character mode, the foreign matter prompt is prompt characters corresponding to the foreign matter type, and when the foreign matter prompt is performed in the image mode, the foreign matter prompt is prompt images corresponding to the foreign matter type.
Specifically, the step of detecting the foreign object in the captured image includes:
corroding the shot image to obtain a corroded image, and extracting an image outline in the corroded image, wherein the corroded image corresponding to the shot image is obtained by corroding the shot image;
carrying out contour screening on the extracted image contour, and carrying out contour comparison on a preset contour image and the screened image contour;
If the image similarity between the screened image contour and the preset contour image is greater than a preset similarity, judging that the foreign object exists in the shot image;
the extracted image contour can be screened according to the preset contour width to remove an error contour in the image contour, and the image similarity between the screened image contour and the preset contour image can be obtained by comparing the preset contour image with the screened image contour.
Specifically, in this step, the preset similarity may be set as required, if the image similarity between the screened image contour and the preset contour image is greater than the preset similarity, it is determined that a foreign object exists in the captured image, and if the image similarity between the screened image contour and the preset contour image is less than or equal to the preset similarity, it is determined that a foreign object does not exist in the captured image.
In the embodiment, the accuracy of inquiring the image detection rule is effectively improved by acquiring the illumination information of the current environment of the target cultural relic, the image detection of the shot image can be effectively carried out by the image detection rule to obtain the image detection information corresponding to the shot image, and the accuracy of information comparison between the image detection information and the target image information is effectively improved by inquiring the target image information according to the image detection rule and the cultural relic identification of the target cultural relic. Thereby improving the accuracy of the theft prevention of the cultural relics.
Example two
Please refer to fig. 2, which is a flowchart of a cultural relic anti-theft method according to a second embodiment of the present invention, for further detailing the step S30 in the first embodiment, the method includes the steps of:
step S31, extracting a cultural relic shadow image corresponding to the target cultural relic in the shot image, and performing image filtering on the cultural relic shadow image according to the filtering parameters stored in the image detection rule to obtain a cultural relic filtering image;
the method comprises the steps of obtaining a cultural relic shadow image corresponding to a target cultural relic by extracting a shadow area corresponding to the target cultural relic in a shot image under the irradiation of a light source, and removing image magazines in the cultural relic shadow image by performing image filtering on the cultural relic shadow image according to filtering parameters stored in an image detection rule to obtain the cultural relic filtering image.
Specifically, in this step, the image filtering may be performed on the shadow image of the cultural relic by using a filter, the filter is subjected to parameter setting by using the filtering parameter, and the shadow image of the cultural relic is input into the filter after the parameter setting, so as to obtain the filtered image of the cultural relic.
Step S32, carrying out image overlapping processing on the historical relic filtering image according to the image overlapping parameters stored in the image detection rule to obtain a historical relic overlapping image;
The image overlapping parameter comprises coordinates of an overlapping axis, and the overlapping axis is used for performing image overlapping on the historical relic filtering image to obtain a historical relic overlapping image corresponding to the target historical relic.
Step S33, cutting the image of the cultural relic overlapping image according to the cutting coordinate stored in the image detection rule to obtain a cultural relic cutting image;
and performing image cropping on the cultural relic overlapped image according to the cropping coordinates stored in the image detection rule to obtain a cultural relic cropping image corresponding to the target cultural relic.
Step S34, extracting the image contour in the cultural relic cutting image to obtain the image detection information;
specifically, in this embodiment, the step of performing information comparison between the image detection information and the target image information includes:
comparing the image contour stored in the image detection information with the image contour stored in the target image information to obtain contour similarity, wherein the contour similarity between the image detection information and the target image information is obtained by comparing the image contour in the image detection information with the image contour in the target image information;
If the contour similarity is smaller than a similarity threshold value, judging that the information comparison between the image detection information and the target image information is unqualified;
if the contour similarity is larger than or equal to the similarity threshold, judging that the information comparison between the image detection information and the target image information is qualified;
the similarity threshold value can be set according to requirements, if the contour similarity is smaller than the similarity threshold value, the information comparison between the image detection information and the target image information is judged to be unqualified, and the target cultural relic in the shot image is changed.
In this embodiment, a shadow area corresponding to a target cultural relic in a shot image under the irradiation of a light source is extracted to obtain a cultural relic shadow image corresponding to the target cultural relic, image filtering is performed on the cultural relic shadow image according to a filtering parameter stored in an image detection rule to remove image magazines in the cultural relic shadow image to obtain a cultural relic filtering image, image cropping is performed on the cultural relic overlapping image according to a cropping coordinate stored in the image detection rule to obtain a cultural relic cropping image corresponding to the target cultural relic, and image contour in the cultural relic cropping image is extracted to obtain image detection information corresponding to the target cultural relic.
EXAMPLE III
Referring to fig. 3, a schematic structural diagram of a cultural relic anti-theft system 100 according to a third embodiment of the present invention is shown, which includes: illumination information acquisition module 10, image information inquiry module 11, image detection module 12 and theftproof suggestion module 13, wherein:
the illumination information acquisition module 10 is configured to acquire a captured image of a target cultural relic and acquire illumination information of an environment where the target cultural relic is currently located.
Wherein, the illumination information obtaining module 10 is further configured to: acquiring a cultural relic identifier of the target cultural relic, and determining an environment identifier of the current environment according to the cultural relic identifier;
and acquiring current time, and inquiring information according to the current time and the environment identifier to obtain the illumination information corresponding to the current environment, wherein the illumination information comprises an illumination angle, illumination intensity and light source parameters.
And the image information query module 11 is configured to query an image detection rule according to the illumination information, and query target image information according to the image detection rule and the cultural relic identifier of the target cultural relic.
And the image detection module 12 is configured to perform image detection on the captured image according to the image detection rule to obtain image detection information, and perform information comparison between the image detection information and the target image information.
Wherein, the image detection module 12 is further configured to: extracting a cultural relic shadow image corresponding to the target cultural relic in the shot image, and carrying out image filtering on the cultural relic shadow image according to the filtering parameters stored in the image detection rule to obtain a cultural relic filtering image;
performing image overlapping processing on the historical relic filtering image according to the image overlapping parameters stored in the image detection rule to obtain a historical relic overlapping image;
image cutting is carried out on the cultural relic overlapped image according to the cutting coordinates stored in the image detection rule, and a cultural relic cutting image is obtained;
and extracting the image contour in the cultural relic cutting image to obtain the image detection information.
Preferably, the image detection module 12 is further configured to: comparing the image contour stored in the image detection information with the image contour stored in the target image information to obtain contour similarity;
if the contour similarity is smaller than a similarity threshold value, judging that the information comparison between the image detection information and the target image information is unqualified;
and if the contour similarity is greater than or equal to the similarity threshold, judging that the information comparison between the image detection information and the target image information is qualified.
And the anti-theft prompting module 13 is configured to send an anti-theft prompt for the target cultural relic if the information comparison between the image detection information and the target image information is unqualified.
Preferably, the system 100 further comprises:
a foreign object detection module 14, configured to perform foreign object detection on the captured image;
and if the foreign object is detected to exist in the shot image, performing type identification on the foreign object to obtain a foreign object type, and sending a foreign object prompt according to the foreign object type.
Wherein the foreign object detection module 14 is further configured to: carrying out corrosion treatment on the shot image to obtain a corrosion image, and extracting an image outline in the corrosion image;
carrying out contour screening on the extracted image contour, and carrying out contour comparison on a preset contour image and the screened image contour;
and if the image similarity between the screened image contour and the preset contour image is greater than the preset similarity, judging that the foreign object exists in the shot image.
In the embodiment, the accuracy of inquiring the image detection rule is effectively improved by acquiring the illumination information of the current environment of the target cultural relic, the image detection of the shot image can be effectively carried out by the image detection rule to obtain the image detection information corresponding to the shot image, and the accuracy of information comparison between the image detection information and the target image information is effectively improved by inquiring the target image information according to the image detection rule and the cultural relic identification of the target cultural relic. Thereby improving the accuracy of the anti-theft of the cultural relics.
Example four
Referring to fig. 4, a mobile terminal 101 according to a fourth embodiment of the present invention includes a storage device and a processor, where the storage device is used to store a computer program, and the processor runs the computer program to make the mobile terminal 101 execute the above-mentioned method for preventing a cultural relic from being stolen.
The present embodiment also provides a storage medium on which a computer program used in the above-mentioned mobile terminal 101 is stored, which when executed, includes the steps of:
acquiring a shot image of a target cultural relic, and acquiring illumination information of the current environment of the target cultural relic;
inquiring an image detection rule according to the illumination information, and inquiring target image information according to the image detection rule and the cultural relic identification of the target cultural relic;
performing image detection on the shot image according to the image detection rule to obtain image detection information, and performing information comparison on the image detection information and the target image information;
and if the information comparison between the image detection information and the target image information is unqualified, sending an anti-theft prompt aiming at the target cultural relic. The storage medium, such as: ROM/RAM, magnetic disk, optical disk, etc.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is used as an example, in practical applications, the above-mentioned function distribution may be performed by different functional units or modules according to needs, that is, the internal structure of the storage device is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the present application.
Those skilled in the art will appreciate that the component structures shown in fig. 3 are not intended to be limiting of the present invention, and may include more or less components than those shown, or some components in combination, or a different arrangement of components, and that the method of deterring the theft of cultural relics in fig. 1-2 is also implemented using more or less components than those shown in fig. 3, or some components in combination, or a different arrangement of components. The units, modules, etc. referred to herein are a series of computer programs that can be executed by a processor (not shown) of the target cultural relic anti-theft system and that can perform specific functions, and all of them can be stored in a storage device (not shown) of the target cultural relic anti-theft system.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. A cultural relic anti-theft method is characterized by comprising the following steps:
acquiring a shot image of a target cultural relic, and acquiring illumination information of the current environment of the target cultural relic;
inquiring an image detection rule according to the illumination information, and inquiring target image information according to the image detection rule and the cultural relic identification of the target cultural relic;
performing image detection on the shot image according to the image detection rule to obtain image detection information, and performing information comparison on the image detection information and the target image information;
if the information comparison between the image detection information and the target image information is unqualified, sending an anti-theft prompt aiming at the target cultural relic;
the step of obtaining the illumination information of the current environment of the target cultural relic comprises the following steps:
acquiring a cultural relic identifier of the target cultural relic, and determining an environment identifier of the current environment according to the cultural relic identifier;
And acquiring current time, and inquiring information according to the current time and the environment identifier to obtain the illumination information corresponding to the current environment, wherein the illumination information comprises an illumination angle, illumination intensity and light source parameters.
2. The cultural relic anti-theft method according to claim 1, wherein the step of image-detecting the shot image according to the image detection rule comprises:
extracting a cultural relic shadow image corresponding to the target cultural relic in the shot image, and carrying out image filtering on the cultural relic shadow image according to the filtering parameters stored in the image detection rule to obtain a cultural relic filtering image;
performing image overlapping processing on the historical relic filtering image according to the image overlapping parameters stored in the image detection rule to obtain a historical relic overlapping image;
image cutting is carried out on the cultural relic overlapped image according to the cutting coordinates stored in the image detection rule, and a cultural relic cutting image is obtained;
and extracting the image contour in the cultural relic cutting image to obtain the image detection information.
3. The method of claim 2, wherein the step of comparing the image detection information with the target image information comprises:
Comparing the image contour stored in the image detection information with the image contour stored in the target image information to obtain contour similarity;
if the contour similarity is smaller than a similarity threshold value, judging that the information comparison between the image detection information and the target image information is unqualified;
and if the contour similarity is greater than or equal to the similarity threshold, judging that the information comparison between the image detection information and the target image information is qualified.
4. The cultural relic anti-theft method according to claim 1, wherein after the step of obtaining the shot image of the target cultural relic, the method further comprises:
detecting foreign matters in the shot image;
and if the foreign object is detected to exist in the shot image, performing type identification on the foreign object to obtain a foreign object type, and sending a foreign object prompt according to the foreign object type.
5. The cultural relic theft prevention method according to claim 4, wherein the step of performing foreign object detection on the shot image comprises:
carrying out corrosion treatment on the shot image to obtain a corrosion image, and extracting an image outline in the corrosion image;
Carrying out contour screening on the extracted image contour, and carrying out contour comparison on a preset contour image and the screened image contour;
and if the image similarity between the screened image contour and the preset contour image is greater than the preset similarity, judging that the foreign object exists in the shot image.
6. A cultural relic antitheft system, comprising:
the illumination information acquisition module is used for acquiring a shot image of the target cultural relic and acquiring illumination information of the current environment of the target cultural relic;
the image information query module is used for querying an image detection rule according to the illumination information and querying target image information according to the image detection rule and the cultural relic identification of the target cultural relic;
the image detection module is used for carrying out image detection on the shot image according to the image detection rule to obtain image detection information and carrying out information comparison on the image detection information and the target image information;
the anti-theft prompting module is used for sending an anti-theft prompt aiming at the target cultural relic if the information comparison between the image detection information and the target image information is unqualified;
The illumination information acquisition module is further configured to:
acquiring a cultural relic identifier of the target cultural relic, and determining an environment identifier of the current environment according to the cultural relic identifier;
and acquiring current time, and inquiring information according to the current time and the environment identifier to obtain the illumination information corresponding to the current environment, wherein the illumination information comprises an illumination angle, illumination intensity and light source parameters.
7. A mobile terminal, characterized by comprising a storage device for storing a computer program and a processor for executing the computer program to cause the mobile terminal to execute the cultural relic theft prevention method according to any one of claims 1 to 5.
8. A storage medium characterized by storing a computer program for use in the mobile terminal of claim 7, the computer program, when executed by a processor, implementing the steps of the cultural relic anti-theft method of any one of claims 1 to 5.
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|---|---|---|---|---|
| CN108717521A (en) * | 2018-04-17 | 2018-10-30 | 智慧互通科技有限公司 | A kind of parking lot order management method and system based on image |
| CN108986199A (en) * | 2018-06-14 | 2018-12-11 | 北京小米移动软件有限公司 | Dummy model processing method, device, electronic equipment and storage medium |
| CN109035658A (en) * | 2018-08-21 | 2018-12-18 | 北京深瞐科技有限公司 | A kind of historical relic safety protecting method and device |
| CN110160583A (en) * | 2019-05-05 | 2019-08-23 | 任志刚 | A kind of heritage monitor device, historical relic ambient condition monitoring system and storage box |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201146015A (en) * | 2010-06-14 | 2011-12-16 | Hon Hai Prec Ind Co Ltd | Monitoring system and method |
| CN102013147B (en) * | 2010-09-29 | 2016-01-27 | 北京航空航天大学 | High voltage power transmission tower intelligent anti-theft method for supervising and device |
| CN104796660B (en) * | 2014-01-20 | 2018-10-23 | 腾讯科技（深圳）有限公司 | A kind of method and device of anti-theft alarm |
| CN108664840A (en) * | 2017-03-27 | 2018-10-16 | 北京三星通信技术研究有限公司 | Image-recognizing method and device |
| CN109501724A (en) * | 2017-09-15 | 2019-03-22 | 南京志超汽车零部件有限公司 | While a kind of VATS Vehicle Anti-Theft System based on face recognition and iris recognition |
| CN108960344A (en) * | 2018-08-03 | 2018-12-07 | 敦煌研究院 | Difference detecting method, device and the terminal device of cultural relic images |
| CN109166261B (en) * | 2018-10-11 | 2022-06-07 | 平安科技（深圳）有限公司 | Image processing method, device and equipment based on image recognition and storage medium |
| CN209591020U (en) * | 2018-12-31 | 2019-11-05 | 上海深其深网络科技有限公司 | A kind of hidden open air electronic box anti-theft device suitable for complex illumination environment |
| CN110929591A (en) * | 2019-11-04 | 2020-03-27 | 广州供电局有限公司 | Transformer substation monitoring method and device, computer equipment and storage medium |
| CN111047558A (en) * | 2019-11-20 | 2020-04-21 | 深圳市康冠智能科技有限公司 | Image detection method, image detection device, computer equipment and storage medium |
| CN111091104A (en) * | 2019-12-23 | 2020-05-01 | 河北工业大学 | Target object protection detection method, device, equipment and storage medium |
| CN111460964A (en) * | 2020-03-27 | 2020-07-28 | 浙江广播电视集团 | Moving target detection method under low-illumination condition of radio and television transmission machine room |
| CN211531174U (en) * | 2020-03-30 | 2020-09-18 | 青海海川信息科技有限公司 | Visual monitoring device of family based on thing internet connection |
| CN111601011A (en) * | 2020-04-10 | 2020-08-28 | 全景智联(武汉)科技有限公司 | Automatic alarm method and system based on video stream image |
-
2021
- 2021-02-24 CN CN202110208415.8A patent/CN112967467B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108717521A (en) * | 2018-04-17 | 2018-10-30 | 智慧互通科技有限公司 | A kind of parking lot order management method and system based on image |
| CN108986199A (en) * | 2018-06-14 | 2018-12-11 | 北京小米移动软件有限公司 | Dummy model processing method, device, electronic equipment and storage medium |
| CN109035658A (en) * | 2018-08-21 | 2018-12-18 | 北京深瞐科技有限公司 | A kind of historical relic safety protecting method and device |
| CN110160583A (en) * | 2019-05-05 | 2019-08-23 | 任志刚 | A kind of heritage monitor device, historical relic ambient condition monitoring system and storage box |
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