Radiation detection method, device and equipment based on camera device acquisition and medium

Abstract

The invention provides a radiation detection method, device and equipment based on camera device acquisition and a medium. Comprising the following steps: performing video acquisition on to-be-detected objects on a conveyor belt through a camera device, analyzing the acquired video to obtain a plurality of differential images, and determining a target detection object with radiation in all the to-be-detected objects and first radiation information; dividing the target detection objects into a first type of detection objects and a second type of detection objects, and respectively transmitting the first type of detection objects and the second type of detection objects to different detection spaces; and performing radiation detection on the target detection object based on the radiation detection device, determining second radiation information of the first type of detection object and the second type of detection object, optimizing the first radiation information to obtain radiation information of the target detection object, determining a risk level, and sending alarm information based on the risk level. The first radiation information and the second radiation information of the target detection object are obtained in different modes, the radiation information is obtained, and the accuracy of the radiation information is ensured.

Description

Technical Field

[0001] The present invention relates to the field of radiation detection technology, and in particular to a radiation detection method, device, equipment and medium based on image acquisition by a camera. Background Art

[0002] The impact of nuclear radiation on human health is related to radiation information such as radiation dose and type. Therefore, in the process of radiation detection, it is necessary to obtain specific information such as radiation dose and radiation type to determine whether an object will have an impact on human health.

[0003] However, most of the existing radiation detection technologies are based on the existing security checks, and the detection results are not accurate enough. Therefore, it is impossible to accurately judge whether it will cause harm to the human body and the extent of the harm to the human body. Summary of the invention

[0004] The present invention provides a radiation detection method, device, electronic equipment and storage medium based on image acquisition by a camera device, so as to solve the problem that the detection results of the existing radiation detection device are not accurate enough.

[0005] In a first aspect, the present invention provides a radiation detection method based on acquisition by a camera device, comprising:

[0006] Placing the objects to be detected on a conveyor belt, using a camera device to collect moving videos of multiple objects to be detected on the conveyor belt, and processing the moving videos to obtain multiple differential images;

[0007] Determine a target detection object that has radiation among all the objects to be detected based on the multiple differential images, and determine first radiation information of the target detection object;

[0008] Classifying the target detection objects into first-category detection objects and second-category detection objects, and transmitting the first-category detection objects to a first detection space, and transmitting the second-category detection objects to a second detection space;

[0009] Performing radiation detection on the first type of detection objects and the second type of detection objects based on the radiation detection device, and determining second radiation information of the first type of detection objects and the second type of detection objects based on the detection results;

[0010] Optimizing the first radiation information based on the second radiation information to obtain radiation information of the target detection object;

[0011] A risk level is determined based on the radiation information, and an alarm message is issued based on the risk level.

[0012] In a possible implementation, the object to be detected is placed on a conveyor belt, a moving video of the object to be detected is captured by a camera device, and the moving video is processed to obtain a plurality of differential images, including:

[0013] Dividing the conveyor belt into regions and providing a camera device for each region;

[0014] The object to be detected is placed on a moving conveyor belt, and a sub-movement video of each area on the conveyor belt is collected based on the camera device, and all the sub-movement videos are spliced ​​to obtain a moving video of each object to be detected;

[0015] Frame processing is performed on each mobile video to obtain a plurality of differential images, and a differential image between each differential image and the next adjacent differential image is obtained.

[0016] In a possible implementation, determining a target detection object having radiation among all objects to be detected based on the multiple differential images, and determining first radiation information of the target detection object includes:

[0017] Based on each differential image, determining whether there is a radiation bright spot in the differential image;

[0018] If there are radiation bright spots in multiple consecutive differential images, the object to be detected on the conveyor belt in the corresponding moving video is taken as the target detection object;

[0019] The total number of frames per unit time, the number of pixels of each differential image, and the bright spot characteristics are acquired, and the first radiation information of the target detection object is determined based on the total number of frames, the number of pixels, and the bright spot characteristics.

[0020] In a possible implementation, the step of performing radiation detection on the first type of detection objects and the second type of detection objects based on the radiation detection device and determining the second radiation information of the first type of detection objects and the second type of detection objects based on the detection results includes:

[0021] Acquire the shortest distance between the camera device and the target detection object, take the shortest distance as a first distance, and take the orientation of the camera device relative to the target detection object as a first detection orientation when the distance between the camera device and the target detection object is the first distance;

[0022] If the target detection object is a first type of detection object, multiple radiation detection devices are arranged at different positions of the first type of detection object, and the shortest distance between each radiation detection device and the first type of detection object is a first distance;

[0023] Performing radiation detection on the first type of detection object based on each radiation detection device to obtain a plurality of second sub-radiation information, and obtaining second radiation information based on all the second sub-radiation information;

[0024] If the target detection object is a second type of detection object, a radiation detection device is arranged at a first detection orientation of the second type of detection object, and the shortest distance between the radiation detection device and the second type of detection object is a first distance;

[0025] Collecting second radiation information of the target detection object based on the radiation collection device;

[0026] The second radiation information corresponding to the first type of detection objects includes radiation factor, radiation intensity and radiation position, and the second radiation information corresponding to the second type of detection objects includes radiation factor and radiation intensity.

[0027] In a possible implementation manner, the optimizing the first radiation information based on the second radiation information to obtain the radiation information of the target detection object includes:

[0028] If the target detection object is a first type of detection object, obtaining second sub-radiation information collected by each radiation collection device in the second radiation information, and comparing each second sub-radiation information with the first radiation information;

[0029] Determine a plurality of radiation factor errors and a plurality of radiation intensity errors based on the plurality of comparison results, and optimize the first radiation information of the target detection object based on the plurality of radiation factor errors and the plurality of radiation intensity errors to obtain the radiation information of the target detection object;

[0030] If the target detection object is a second type of detection object, comparing the second radiation information collected by the radiation collection device with the first radiation information;

[0031] A radiation factor error and a radiation intensity error are determined based on the comparison result, and the first radiation information of the target detection object is optimized based on the radiation factor error and the radiation intensity error to obtain the radiation information of the target detection object.

[0032] In a possible implementation, if the target detection object is a first type of detection object, optimizing the first radiation information of the target detection object based on the multiple radiation factor errors and the multiple radiation intensity errors to obtain the radiation information of the target detection object includes:

[0033] If there is no radiation factor error, taking the radiation factor in the first radiation information as the radiation factor of the target detection object;

[0034] If there is a radiation factor error, every two pieces of second sub-radiation information are compared to determine the sub-radiation factor error;

[0035] If there is no sub-radiation factor error, taking the radiation factor in the second radiation information as the radiation factor of the target detection object;

[0036] If there is a sub-radiation factor error, the number of occurrences of each radiation factor is obtained, and the radiation factor whose number of occurrences exceeds the preset number is used as the radiation factor of the target detection object;

[0037] For each second sub-radiation information, obtaining the radiation intensity of each radiation factor in the second sub-radiation information;

[0038] For each radiation factor, the radiation position and the corresponding radiation intensity of the radiation factor are determined based on the radiation intensity of the radiation factor and the corresponding radiation collection position in all the second sub-radiation information.

[0039] In a possible implementation, determining the risk level based on the radiation information and issuing warning information based on the risk level includes:

[0040] Acquire the radiation intensity, radiation factor and radiation position of the target detection object based on the radiation information, and obtain the radiation level of the target detection object based on the radiation intensity, radiation factor and radiation position;

[0041] If the radiation level is less than the first threshold, no warning information is issued;

[0042] If the radiation level is between the first threshold and the second threshold, an alarm message is issued and a staff member is notified to conduct manual verification;

[0043] If the radiation level is greater than the second threshold, a serious alarm message is issued, the target detection object is isolated, and a professional is notified for verification;

[0044] The first threshold is smaller than the second threshold.

[0045] In a second aspect, the present invention provides a radiation detection device based on image acquisition by a camera, comprising:

[0046] A processing module, used for placing the objects to be detected on a conveyor belt, collecting moving videos of a plurality of objects to be detected on the conveyor belt by using a camera device, and processing the moving videos to obtain a plurality of differential images;

[0047] A determination module, configured to determine a target detection object that has radiation among all the objects to be detected based on the multiple differential images, and determine first radiation information of the target detection object;

[0048] A classification module, used to classify the target detection objects, divide the target detection objects into a first category of detection objects and a second category of detection objects, and transmit the first category of detection objects to a first detection space, and transmit the second category of detection objects to a second detection space;

[0049] A detection module, configured to perform radiation detection on a first type of detection object and a second type of detection object based on a radiation detection device, and determine second radiation information of the first type of detection object and the second type of detection object based on the detection result;

[0050] an optimization module, configured to optimize the first radiation information based on the second radiation information to obtain radiation information of the target detection object;

[0051] The alarm module is used to determine the risk level based on the radiation information and issue alarm information based on the risk level.

[0052] In a third aspect, the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the processor implements the steps of the method described in the first aspect or any possible implementation manner of the first aspect.

[0053] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method described in the first aspect or any possible implementation of the first aspect are implemented.

[0054] The present invention provides a radiation detection method, device, equipment and medium based on the acquisition of a camera device. The camera device is used to collect video of the object to be detected on the conveyor belt and the video is processed to obtain multiple differential images. The target detection object is determined by the differential image, and the first radiation information is determined. The target detection object is divided into a first type of detection object and a second type of detection object and transmitted to different detection spaces. Then, the radiation detection device is used to perform radiation detection to obtain the second radiation information of the target radiation object, and the first radiation information is optimized to obtain radiation information. Then, the risk level is determined by the radiation information and an alarm message is issued. The target detection object with radiation in the object to be detected is obtained by the camera device, the object to be detected is preliminarily excluded, and the first radiation information of the target detection object is determined. The target detection object is classified, and radiation detection is performed on different types of target detection objects to obtain the second radiation information, thereby ensuring the accuracy of the second radiation information. The first radiation information is optimized by the second radiation information to obtain radiation information, and a warning is issued based on the risk level determined by the radiation information, thereby ensuring the accuracy of the radiation information and the warning information. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0056] Figure 1 It is a flow chart of an implementation of a radiation detection method based on acquisition by a camera device provided by an embodiment of the present invention;

[0057] Figure 2 It is a structural schematic diagram of a radiation detection device based on image acquisition by a camera device provided in an embodiment of the present invention;

[0058] Figure 3 is a schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0059] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0060] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0061] Figure 1 is a flow chart of a radiation detection method based on image acquisition provided by an embodiment of the present invention, referring to Figure 1 , as detailed below:

[0062] S110, placing an object to be detected on a conveyor belt, using a camera device to collect moving videos of multiple objects to be detected on the conveyor belt, and processing the moving videos to obtain multiple differential images.

[0063] In an optional embodiment, the object to be detected is placed on a conveyor belt, a moving video of the object to be detected is captured by a camera device, and the moving video is processed to obtain a plurality of differential images, including:

[0064] Divide the conveyor belt into areas and set up a camera device for each area;

[0065] The object to be detected is placed on a moving conveyor belt, a sub-movement video of each area on the conveyor belt is collected based on a camera device, and all sub-movement videos are spliced ​​to obtain a moving video of each object to be detected;

[0066] Frame processing is performed on each mobile video to obtain a plurality of differential images, and a differential image between each differential image and the next adjacent differential image is obtained.

[0067] It should be noted that the video acquisition device is not an ordinary video acquisition device, but a modified radiation-resistant video acquisition device, so it can be used for radiation detection.

[0068] In this embodiment, multiple areas are obtained according to the acquisition range of the camera device and the length and width of the conveyor belt. The conveyor belt is divided into areas and a camera acquisition device is set in each area, which can ensure that all parts of the conveyor belt can be captured.

[0069] The sub-mobile video refers to the video captured by each camera capture device. When performing video stitching, it is necessary to consider the video capture time, area, and the adjacent relationship between each area.

[0070] S120, determining a target detection object that has radiation among all the objects to be detected based on the multiple differential images, and determining first radiation information of the target detection object.

[0071] In an optional embodiment, determining a target detection object having radiation among all objects to be detected based on a plurality of differential images, and determining first radiation information of the target detection object, includes:

[0072] Based on each differential image, determining whether there is a radiation bright spot in the corresponding differential image;

[0073] If there are radiation bright spots in multiple consecutive differential images, the object to be detected on the conveyor belt in the corresponding moving video is taken as the target detection object;

[0074] The total number of frames per unit time, the number of pixels of each differential image, and the bright spot characteristics are acquired, and the first radiation information of the target detection object is determined based on the total number of frames, the number of pixels, and the bright spot characteristics.

[0075] In this embodiment, the bright spots in the differential image can be divided into ordinary bright spots and radiation bright spots. Bright spots with brightness exceeding a threshold are radiation bright spots, and bright spots with brightness not exceeding the threshold are ordinary bright spots.

[0076] In this embodiment, multiple continuous differential images refer to differential images that are continuous in time. For example, a first differential image is obtained by a first frame image and a second frame image, and a second differential image is obtained by a second frame image and a third frame image. In this case, the first differential image and the second differential image are continuous differential images.

[0077] Among them, the object to be detected corresponding to the bright spot on the moving video is the target detection object.

[0078] Optionally, the total number of frames per unit time and the number of pixels in each differential image may affect the accuracy and sensitivity of the detected radiation, and the bright spot characteristics include the number, distribution, shape, size and brightness of the bright spots.

[0079] Optionally, the first radiation information includes radiation intensity and radiation factor.

[0080] S130, classifying the target detection objects into first-category detection objects and second-category detection objects, and transmitting the first-category detection objects to the first detection space and transmitting the second-category detection objects to the second detection space.

[0081] Among them, the first type of detection objects are objects with cavities, and the second type of detection objects are objects without cavities. Because there may be other objects inside objects with cavities, it may be that the cavity has radiation or that other objects inside the cavity have radiation.

[0082] Optionally, ultrasonic detection is used to determine whether the target detection object has a cavity.

[0083] An object placement table and a waiting area are provided in the first detection space and the second detection space. The target detection object being detected will reach the object placement table through the conveyor belt. If there are other target detection objects behind the target detection object being detected, the conveyor belt will be used to transfer the other target detection objects to the waiting area.

[0084] S140: Perform radiation detection on the first type of detection object and the second type of detection object based on the radiation detection device, and determine second radiation information of the first type of detection object and the second type of detection object based on the detection result.

[0085] In an optional embodiment, performing radiation detection on the first type of detection object and the second type of detection object based on the radiation detection device, and determining the second radiation information of the first type of detection object and the second type of detection object based on the detection result includes:

[0086] Acquire the shortest distance between the camera device and the target detection object, take the shortest distance as the first distance, and take the orientation of the camera device relative to the target detection object as the first detection orientation when the distance between the camera device and the target detection object is the first distance;

[0087] If the target detection object is a first type of detection object, multiple radiation detection devices are arranged at different positions of the first type of detection object, and the shortest distance between each radiation detection device and the first type of detection object is a first distance;

[0088] Performing radiation detection on the first type of detection object based on each radiation detection device to obtain a plurality of second sub-radiation information, and obtaining second radiation information based on all the second sub-radiation information;

[0089] If the target detection object is a second-type detection object, a radiation detection device is arranged at a first detection orientation of the second-type detection object, and the shortest distance between the radiation detection device and the second-type detection object is a first distance;

[0090] Collecting second radiation information of the target detection object based on the radiation collection device;

[0091] The second radiation information corresponding to the first type of detection objects includes radiation factor and radiation intensity, and the second radiation information corresponding to the second type of detection objects includes radiation factor, radiation intensity and radiation position.

[0092] When installing the camera device, there are roughly two installation schemes. If the width of the conveyor belt is within a certain range, the camera device is installed directly above the center line of the conveyor belt. If the width of the conveyor belt exceeds a certain range, the camera device is installed on both sides of the conveyor belt. There may also be other installation schemes, which are not limited in this embodiment.

[0093] In this embodiment, the first distance refers to the minimum distance between the object to be detected and the camera device, and the minimum distance between the object to be detected and each camera device is equal. The first detection orientation refers to the orientation of the camera device relative to the object to be detected when the camera device and the object to be detected are at the minimum distance.

[0094] Among them, for the first type of detection object, there are multiple radiation detection devices that can be moved in the first detection space, and the multiple radiation detection devices are moved to different positions of the first type of detection object respectively, and the closest distance between each radiation detection device and the first type of detection object is the first distance. The number and position of the radiation detection devices can be changed as required, but there must be a radiation detection device located in the first detection position. For example, the cavity is a suitcase, and there are six radiation detection devices in total. The first detection position is directly above the center position of the upper surface of the suitcase. Then, the radiation detection device can be set in the direction facing the center position of the six surfaces of the suitcase.

[0095] Optionally, for the first type of detection object, each radiation detection device detects and obtains the second sub-radiation information, and all the second sub-radiation information can be integrated to obtain the second radiation information. Therefore, for the first type of detection object, the second radiation information includes radiation factor, radiation intensity and radiation position.

[0096] Among them, for the second type of detection objects, there is a radiation detection device in the second detection space, and the radiation detection device is located directly above the object placement table in the second detection space, and its up and down position can be adjusted.

[0097] Since there is no cavity in the second type of detection object, there is no need to perform radiation detection on the second type of detection object from multiple directions. The second radiation information of the second type of detection object includes a radiation factor and a radiation intensity.

[0098] In this embodiment, the radiation factor refers to the radiation type, which may include X-rays, gamma rays, alpha rays, beta rays and other radiation.

[0099] The target detection objects are divided into first-category detection objects with cavities and second-category detection objects without cavities according to whether they have cavities, and based on this feature, different numbers of radiation detection devices are used to perform radiation detection on the target detection objects to obtain second radiation information, thereby improving the detection accuracy while ensuring the detection efficiency.

[0100] S150, optimizing the first radiation information based on the second radiation information to obtain radiation information of the target detection object.

[0101] In an optional embodiment, optimizing the first radiation information based on the second radiation information to obtain the radiation information of the target detection object includes:

[0102] If the target detection object is a first type of detection object, obtaining second sub-radiation information collected by each radiation collection device in the second radiation information, and comparing each second sub-radiation information with the first radiation information;

[0103] Determine a plurality of radiation factor errors and a plurality of radiation intensity errors based on the plurality of comparison results, and optimize the first radiation information of the target detection object based on the plurality of radiation factor errors and the plurality of radiation intensity errors to obtain the radiation information of the target detection object;

[0104] If the target detection object is a second type of detection object, comparing the second radiation information collected by the radiation collection device with the first radiation information;

[0105] Determine the radiation factor error and the radiation intensity error based on the comparison result, and optimize the first radiation information of the object to be detected based on the radiation factor error and the radiation intensity error to obtain the radiation information of the object to be detected.

[0106] Among them, the radiation factor error refers to the error of the radiation type. For example, in the first radiation information of the first type of detected object A, the radiation factor is only radiation 1, but in the first second sub-radiation information of the first type of detected object A, the radiation factors include radiation 1 and radiation 2. At this time, the radiation factor error is radiation 2.

[0107] The radiation intensity error refers to the difference in the radiation intensity corresponding to each radiation factor. For example, in the first radiation information of the first type of detected object A, the radiation intensity of radiation 1 is x1, and in the first second sub-radiation information of the first type of detected object A, the radiation intensity of radiation 1 is x2. The radiation intensity error between the first radiation information and the first second sub-radiation information of the first type of detected object A is (x1 - x2).

[0108] For the second type of detected object, if there is a radiation factor error between the first radiation information and the second radiation information, move the radiation detection device to change its distance from the second type of detected object, and perform multiple acquisitions at different distances. Determine the radiation factor according to the radiation factors in the acquisition results. The radiation factor can be determined by setting a threshold. A total of N detections are performed, the threshold is n, and n < N. For example, in the first radiation information of the second type of detected object B, there is only radiation 1, but in the second radiation information, there are radiation 1, radiation 2, and radiation 3. Change the detection distance between the radiation detection device and the second type of detected object B, and perform 5 detections. The threshold is 3, and radiation 1 appears in each detection, radiation 3 appears 4 times, and radiation 2 appears only 1 time. Then the radiation factors of the second type of detected object B are radiation 1 and radiation 3. At this time, the radiation intensity of radiation 1 takes the average value of the first radiation information and the second radiation information, and the radiation intensity of radiation 3 is obtained comprehensively according to the acquisition distance of the radiation device corresponding to the second radiation information and the other 5 detections and the acquired radiation intensity.

[0109] If there is no radiation factor error between the first radiation information and the second radiation information, the radiation intensity takes the average value of the radiation intensities of each radiation factor in the first radiation information and the second radiation information.

[0110] In an alternative embodiment, if the object to be detected is the first type of detected object, optimizing the first radiation information of the object to be detected based on multiple radiation factor errors and multiple radiation intensity errors to obtain the radiation information of the object to be detected includes:

[0111] If there is no radiation factor error, use the radiation factor in the first radiation information as the radiation factor of the object to be detected;

[0112] If there is a radiation factor error, every two pieces of second sub-radiation information are compared to determine the sub-radiation factor error;

[0113] If there is no sub-radiation factor error, the radiation factor in the second radiation information is used as the radiation factor of the target detection object;

[0114] If there is a sub-radiation factor error, the number of occurrences of each radiation factor is obtained, and the radiation factor whose number of occurrences exceeds the preset number is used as the radiation factor of the target detection object;

[0115] For each second sub-radiation information, obtaining the radiation intensity of each radiation factor in the second sub-radiation information;

[0116] For each radiation factor, the radiation position and the corresponding radiation intensity of the radiation factor are determined based on the radiation intensity of the radiation factor and the corresponding radiation collection position in all the second sub-radiation information.

[0117] In the absence of radiation factor errors:

[0118] Calculation is performed for each radiation factor: the initial radiation intensity is obtained by the radiation intensity error between the second sub-radiation information corresponding to the first detection orientation and the first radiation information, the specific position of the target detection object is determined by the radiation intensity error in other orientations, and the initial radiation intensity is corrected according to the specific position.

[0119] In the presence of radiation factor errors:

[0120] The first case: there is a sub-radiation factor error:

[0121] The radiation factor in the first radiation information of the first type of detection object A is only radiation 1, and the first type of detection object A has four second sub-radiation information, and the preset number of times is 2 times.

[0122] The radiation factors in the first second sub-radiation information of the first category detection object A include radiation 1 and radiation 2, the radiation factors in the second second sub-radiation information include radiation factor 1 and radiation factor 3, the radiation factors in the third second sub-radiation information include radiation factor 1 and radiation factor 3, and the radiation factors in the fourth second sub-radiation information include radiation factor 3.

[0123] At this time, since the radiation factors in each second sub-radiation information are not completely the same, there is a sub-radiation factor error.

[0124] The number of occurrences of radiation 1 is 3 times, the number of occurrences of radiation 2 is 1 time, and the number of occurrences of radiation 3 is 3 times. Since the number of occurrences of radiation 1 and radiation 3 exceeds the preset number, and the number of occurrences of radiation 2 does not exceed the preset number, the radiation factors of the first type of detection object A are radiation 1 and radiation 3.

[0125] The second case: there is no sub-radiation factor error:

[0126] The radiation factor in the first radiation information of the first type of detection object A is only radiation 1, and the first type of detection object A has four second sub-radiation information, and the preset number of times is 2 times.

[0127] The radiation factors in the four second sub-radiation information of the first type of detection object A are all radiation 1 and radiation 2. At this time, there is no sub-radiation factor error. The radiation factors of the first type of detection object A are radiation 1 and radiation 2.

[0128] The calculation process of the radiation intensity of the first type of detection object is as follows:

[0129] First, according to the radiation intensity difference of the corresponding radiation factor in the second sub-radiation information in two different directions, the radiation position of the target detection object is determined, the distance from the radiation position to the remaining radiation detection devices is obtained, and the radiation position is corrected according to the distance and the radiation intensity of the radiation factor in the corresponding second sub-radiation information to obtain the final radiation position.

[0130] The initial radiation intensity of the radiation factor of the target detection object is determined according to the final radiation position, the distance between the final radiation position and the camera device, and the radiation intensity of the radiation factor in the first radiation information. The initial radiation intensity is corrected according to the radiation intensity of the radiation factor in the second sub-radiation information corresponding to the first detection orientation to obtain the radiation intensity of the radiation factor.

[0131] Different numbers of radiation detection devices are set for the first type of detection objects and the second type of detection objects, respectively, and different optimization methods are selected to optimize the first radiation information determined by the camera device to obtain radiation information, which effectively improves the optimization efficiency while ensuring the accuracy of the radiation information.

[0132] S160, determining a risk level based on the radiation information, and issuing an alarm based on the risk level.

[0133] In an optional embodiment, determining a risk level based on radiation information, and issuing warning information based on the risk level, includes:

[0134] Acquire the radiation intensity, radiation factor and radiation position of the target detection object based on the radiation information, and obtain the radiation level of the target detection object based on the radiation intensity, radiation factor and radiation position;

[0135] If the radiation level is less than the first threshold, no warning message is issued;

[0136] If the radiation level is between the first threshold and the second threshold, an alarm message is issued and staff is notified to conduct manual verification;

[0137] If the radiation level is greater than the second threshold, a serious alarm message is issued, the target object is isolated, and professionals are notified for verification;

[0138] The first threshold is smaller than the second threshold.

[0139] Optionally, when determining the radiation level, one radiation factor may determine one radiation level, or one target detection object may determine one radiation level. When one radiation factor determines one radiation level and there are multiple radiation factors in one target detection object, the radiation level with the highest level is used as the radiation level of the target detection object. For example, if there are radiation factors 1 and 2 in target detection object A, and the radiation level of radiation factor 1 is level 3 and the radiation level of radiation factor 2 is level 4, then the radiation level of target detection object A is level 4.

[0140] In this embodiment, the first threshold and the second threshold are manually set, the first threshold is a value that may cause harm to the human body, and the second threshold is a value that may cause greater harm to the human body. The specific values ​​need to be determined experimentally and will change with the change of the level determination method. The first threshold and the second threshold of different radiation factors may be the same or different.

[0141] The embodiment of the present invention uses a camera device to perform video capture and processing on the object to be detected on the conveyor belt to obtain multiple differential images, and determines the target detection object and the first radiation information through the differential images; the target detection object is divided into two categories according to whether there is a cavity, and different detection methods are adopted to obtain the second radiation information, and then the radiation information is obtained through different optimization methods; the radiation level is determined according to the radiation information and corresponding alarm information is issued. The first radiation information is obtained by performing video capture and processing through a camera device, and ultrasonic detection is used to determine whether there is a cavity, and then classification is performed according to whether there is a cavity, and different detection methods and optimization methods of radiation information are determined according to the classification results, thereby ensuring the accuracy of the radiation information and improving the detection efficiency. The risk level is determined through the radiation information and the corresponding alarm information is issued, thereby ensuring the accuracy of the alarm information.

[0142] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0143] The following is an embodiment of the device of the present invention. For details not described in detail therein, reference may be made to the corresponding method embodiment described above.

[0144] Figure 2 : is a schematic diagram of the structure of a radiation detection device based on image acquisition provided by an embodiment of the present invention. For the sake of convenience, only the part related to the embodiment of the present invention is shown, which is described in detail as follows:

[0145] Reference Figure 2 , a radiation detection device 2 based on image acquisition comprises:

[0146] The processing module 21 is used to place the objects to be detected on the conveyor belt, collect moving videos of multiple objects to be detected on the conveyor belt using a camera device, and process the moving videos to obtain multiple differential images;

[0147] A determination module 22, configured to determine a target detection object that has radiation among all the objects to be detected based on the multiple differential images, and determine first radiation information of the target detection object;

[0148] A classification module 23, used to classify the target detection objects, divide the target detection objects into a first category of detection objects and a second category of detection objects, and transmit the first category of detection objects to the first detection space, and transmit the second category of detection objects to the second detection space;

[0149] A detection module 24, configured to perform radiation detection on the first type of detection objects and the second type of detection objects based on the radiation detection device, and determine second radiation information of the first type of detection objects and the second type of detection objects based on the detection results;

[0150] An optimization module 25, configured to optimize the first radiation information based on the second radiation information to obtain radiation information of the target detection object;

[0151] The alarm module 26 is used to determine the risk level based on the radiation information and issue alarm information based on the risk level.

[0152] In some embodiments, the processing module 21 is specifically configured to:

[0153] Divide the conveyor belt into areas and set up a camera device for each area;

[0154] The object to be detected is placed on a moving conveyor belt, a sub-movement video of each area on the conveyor belt is collected based on a camera device, and all sub-movement videos are spliced ​​to obtain a moving video of each object to be detected;

[0155] Frame processing is performed on each mobile video to obtain a plurality of differential images, and a differential image between each differential image and the next adjacent differential image is obtained.

[0156] In some embodiments, the determination module 22 is specifically configured to:

[0157] Based on each differential image, determining whether there is a radiation bright spot in the differential image;

[0158] If there are radiation bright spots in multiple consecutive differential images, the object to be detected on the conveyor belt in the corresponding moving video is taken as the target detection object;

[0159] The total number of frames per unit time, the number of pixels of each differential image, and the bright spot characteristics are acquired, and the first radiation information of the target detection object is determined based on the total number of frames, the number of pixels, and the bright spot characteristics.

[0160] In some embodiments, the detection module 24 is specifically configured to:

[0161] Acquire the shortest distance between the camera device and the target detection object, take the shortest distance as the first distance, and take the orientation of the camera device relative to the target detection object as the first detection orientation when the distance between the camera device and the target detection object is the first distance;

[0162] If the target detection object is a first type of detection object, multiple radiation detection devices are arranged at different positions of the first type of detection object, and the shortest distance between each radiation detection device and the first type of detection object is a first distance;

[0163] Performing radiation detection on the first type of detection object based on each radiation detection device to obtain a plurality of second sub-radiation information, and obtaining second radiation information based on all the second sub-radiation information;

[0164] If the target detection object is a second-type detection object, a radiation detection device is arranged at a first detection orientation of the second-type detection object, and the shortest distance between the radiation detection device and the second-type detection object is a first distance;

[0165] Collecting second radiation information of the target detection object based on the radiation collection device;

[0166] The second radiation information corresponding to the first type of detection objects includes radiation factor, radiation intensity and radiation position, and the second radiation information corresponding to the second type of detection objects includes radiation factor and radiation intensity.

[0167] In some embodiments, the optimization module 25 is specifically configured to:

[0168] If the target detection object is a first type of detection object, obtaining second sub-radiation information collected by each radiation collection device in the second radiation information, and comparing each second sub-radiation information with the first radiation information;

[0169] Determine a plurality of radiation factor errors and a plurality of radiation intensity errors based on the plurality of comparison results, and optimize the first radiation information of the target detection object based on the plurality of radiation factor errors and the plurality of radiation intensity errors to obtain the radiation information of the target detection object;

[0170] If the target detection object is a second type of detection object, comparing the second radiation information collected by the radiation collection device with the first radiation information;

[0171] A radiation factor error and a radiation intensity error are determined based on the comparison result, and the first radiation information of the target detection object is optimized based on the radiation factor error and the radiation intensity error to obtain the radiation information of the target detection object.

[0172] In some embodiments, the optimization module 25 is further configured to:

[0173] If there is no radiation factor error, the radiation factor in the first radiation information is used as the radiation factor of the target detection object;

[0174] If there is a radiation factor error, every two pieces of second sub-radiation information are compared to determine the sub-radiation factor error;

[0175] If there is no sub-radiation factor error, the radiation factor in the second radiation information is used as the radiation factor of the target detection object;

[0176] If there is a sub-radiation factor error, the number of occurrences of each radiation factor is obtained, and the radiation factor whose number of occurrences exceeds the preset number is used as the radiation factor of the target detection object;

[0177] For each second sub-radiation information, obtaining the radiation intensity of each radiation factor in the second sub-radiation information;

[0178] For each radiation factor, the radiation position and the corresponding radiation intensity of the radiation factor are determined based on the radiation intensity of the radiation factor and the corresponding radiation collection position in all the second sub-radiation information.

[0179] In some embodiments, the alarm module 26 is specifically configured to:

[0180] Acquire the radiation intensity, radiation factor and radiation position of the target detection object based on the radiation information, and obtain the radiation level of the target detection object based on the radiation intensity, radiation factor and radiation position;

[0181] If the radiation level is less than the first threshold, no warning message is issued;

[0182] If the radiation level is between the first threshold and the second threshold, an alarm message is issued and staff is notified to conduct manual verification;

[0183] If the radiation level is greater than the second threshold, a serious alarm message is issued, the target object is isolated, and professionals are notified for verification;

[0184] The first threshold is smaller than the second threshold.

[0185] Figure 3 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, the electronic device 3 of this embodiment includes: a processor 30, a memory 31, and a computer program 32 stored in the memory 31 and executable on the processor 30. When the processor 30 executes the computer program 32, the steps in the above-mentioned radiation detection method embodiments based on the acquisition of the imaging device are implemented, for example Figure 1 Alternatively, when the processor 50 executes the computer program 52, the functions of each module / unit in the above-mentioned device embodiments are realized, for example Figure 2 Functions of modules / units 21 to 26 are shown.

[0186] Exemplarily, the computer program 32 may be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 30 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program 32 in the electronic device 3. For example, the computer program 32 may be divided into Figure 2 Modules / units 21 to 23 are shown.

[0187] The electronic device 3 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The electronic device 5 may include, but is not limited to, a processor 30 and a memory 31. Those skilled in the art will appreciate that Figure 3 It is only an example of the electronic device 3 and does not constitute a limitation of the electronic device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0188] The processor 30 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0189] The memory 31 may be an internal storage unit of the electronic device 3, such as a hard disk or memory of the electronic device 3. The memory 31 may also be an external storage device of the electronic device 3, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 3. Further, the memory 31 may also include both an internal storage unit and an external storage device of the electronic device 3. The memory 31 is used to store the computer program and other programs and data required by the electronic device. The memory 31 may also be used to temporarily store data that has been output or is to be output.

[0190] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0191] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0192] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0193] In the embodiments provided by the present invention, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0194] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0195] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0196] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned radiation detection method embodiments based on the acquisition of the camera device can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practices in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practices, computer-readable media does not include electrical carrier signals and telecommunication signals.

[0197] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A radiation detection method based on camera acquisition, characterized in that: include: Placing the objects to be detected on a conveyor belt, using a camera device to collect moving videos of multiple objects to be detected on the conveyor belt, and processing the moving videos to obtain multiple differential images; Determine a target detection object that has radiation among all the objects to be detected based on the multiple differential images, and determine first radiation information of the target detection object; Classifying the target detection objects into first-category detection objects and second-category detection objects, and transmitting the first-category detection objects to a first detection space, and transmitting the second-category detection objects to a second detection space; Performing radiation detection on the first type of detection objects and the second type of detection objects based on the radiation detection device, and determining second radiation information of the first type of detection objects and the second type of detection objects based on the detection results; Optimizing the first radiation information based on the second radiation information to obtain radiation information of the target detection object; A risk level is determined based on the radiation information, and an alarm message is issued based on the risk level.

2. The radiation detection method based on camera acquisition according to claim 1, characterized in that: The object to be detected is placed on a conveyor belt, a moving video of the object to be detected is collected by a camera device, and the moving video is processed to obtain a plurality of differential images, including: Dividing the conveyor belt into regions and providing a camera device for each region; The object to be detected is placed on a moving conveyor belt, sub-movement videos of each area on the conveyor belt are collected based on the camera device, and all sub-movement videos are spliced ​​to obtain a moving video of each object to be detected; Frame processing is performed on each mobile video to obtain a plurality of differential images, and a differential image between each differential image and the next adjacent differential image is obtained.

3. The radiation detection method based on camera acquisition according to claim 1, characterized in that: The step of determining a target detection object having radiation among all objects to be detected based on the multiple differential images, and determining first radiation information of the target detection object, includes: Based on each differential image, determining whether there is a radiation bright spot in the differential image; If there are radiation bright spots in multiple consecutive differential images, the object to be detected on the conveyor belt in the corresponding moving video is taken as the target detection object; The total number of frames per unit time, the number of pixels of each differential image, and the bright spot characteristics are acquired, and the first radiation information of the target detection object is determined based on the total number of frames, the number of pixels, and the bright spot characteristics.

4. The radiation detection method based on camera acquisition according to claim 1, characterized in that: The method of performing radiation detection on the first type of detection objects and the second type of detection objects based on the radiation detection device and determining the second radiation information of the first type of detection objects and the second type of detection objects based on the detection results includes: Acquire the shortest distance between the camera device and the target detection object, take the shortest distance as a first distance, and take the orientation of the camera device relative to the target detection object as a first detection orientation when the distance between the camera device and the target detection object is the first distance; If the target detection object is a first type of detection object, multiple radiation detection devices are arranged at different positions of the first type of detection object, and the shortest distance between each radiation detection device and the first type of detection object is a first distance; Performing radiation detection on the first type of detection object based on each radiation detection device to obtain a plurality of second sub-radiation information, and obtaining second radiation information based on all the second sub-radiation information; If the target detection object is a second type of detection object, a radiation detection device is arranged at a first detection orientation of the second type of detection object, and the shortest distance between the radiation detection device and the second type of detection object is a first distance; Collecting second radiation information of the target detection object based on the radiation collection device; The second radiation information corresponding to the first type of detection objects includes radiation factor, radiation intensity and radiation position, and the second radiation information corresponding to the second type of detection objects includes radiation factor and radiation intensity.

5. The radiation detection method based on camera acquisition according to claim 1, characterized in that: The optimizing the first radiation information based on the second radiation information to obtain the radiation information of the target detection object includes: If the target detection object is a first type of detection object, obtaining second sub-radiation information collected by each radiation collection device in the second radiation information, and comparing each second sub-radiation information with the first radiation information; Determine a plurality of radiation factor errors and a plurality of radiation intensity errors based on the plurality of comparison results, and optimize the first radiation information of the target detection object based on the plurality of radiation factor errors and the plurality of radiation intensity errors to obtain the radiation information of the target detection object; If the target detection object is a second type of detection object, comparing the second radiation information collected by the radiation collection device with the first radiation information; A radiation factor error and a radiation intensity error are determined based on the comparison result, and the first radiation information of the target detection object is optimized based on the radiation factor error and the radiation intensity error to obtain the radiation information of the target detection object.

6. The radiation detection method based on camera acquisition according to claim 5, characterized in that: If the target detection object is a first type of detection object, optimizing the first radiation information of the target detection object based on the multiple radiation factor errors and the multiple radiation intensity errors to obtain the radiation information of the target detection object includes: If there is no radiation factor error, taking the radiation factor in the first radiation information as the radiation factor of the target detection object; If there is a radiation factor error, every two pieces of second sub-radiation information are compared to determine the sub-radiation factor error; If there is no sub-radiation factor error, taking the radiation factor in the second radiation information as the radiation factor of the target detection object; If there is a sub-radiation factor error, the number of occurrences of each radiation factor is obtained, and the radiation factor whose number of occurrences exceeds the preset number is used as the radiation factor of the target detection object; For each second sub-radiation information, obtaining the radiation intensity of each radiation factor in the second sub-radiation information; For each radiation factor, the radiation position and the corresponding radiation intensity of the radiation factor are determined based on the radiation intensity of the radiation factor and the corresponding radiation collection position in all the second sub-radiation information.

7. The radiation detection method based on camera acquisition according to claim 1, characterized in that: The determining the risk level based on the radiation information and issuing warning information based on the risk level includes: Acquire the radiation intensity, radiation factor and radiation position of the target detection object based on the radiation information, and obtain the radiation level of the target detection object based on the radiation intensity, radiation factor and radiation position; If the radiation level is less than the first threshold, no warning information is issued; If the radiation level is between the first threshold and the second threshold, an alarm message is issued and a staff member is notified to conduct manual verification; If the radiation level is greater than the second threshold, a serious alarm message is issued, the target detection object is isolated, and a professional is notified for verification; The first threshold is smaller than the second threshold.

8. A radiation detection device based on camera acquisition, characterized in that: include: A processing module, used for placing the objects to be detected on a conveyor belt, collecting moving videos of a plurality of objects to be detected on the conveyor belt by using a camera device, and processing the moving videos to obtain a plurality of differential images; A determination module, configured to determine a target detection object that has radiation among all the objects to be detected based on the multiple differential images, and determine first radiation information of the target detection object; a classification module, configured to classify the target detection objects into first-category detection objects and second-category detection objects, and to transmit the first-category detection objects to a first detection space and to transmit the second-category detection objects to a second detection space; A detection module, configured to perform radiation detection on a first type of detection object and a second type of detection object based on a radiation detection device, and determine second radiation information of the first type of detection object and the second type of detection object based on the detection result; an optimization module, configured to optimize the first radiation information based on the second radiation information to obtain radiation information of the target detection object; The alarm module is used to determine the risk level based on the radiation information and issue alarm information based on the risk level.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of a radiation detection method based on acquisition by a camera device as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of a radiation detection method based on acquisition by a camera device as described in any one of claims 1 to 7 are implemented.

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