Control method and device of image processing equipment and camera shooting equipment

Abstract

The embodiment of the invention relates to a control method and device of image processing equipment and camera shooting equipment, and the method comprises the steps that position information collected by a target sensor is acquired, a sensing area of the target sensor comprises a predetermined detection forbidding area, and the position information represents the object position of a trigger object in the sensing area; determining whether the object position is located in the detection forbidding area or not so as to generate first discrimination information; and based on the first discrimination information, controlling whether the image processing equipment is started or not. Therefore, the detection forbidding area can be arranged in the sensing area of the target sensor, and then when the trigger object is located in the detection forbidding area, the image processing equipment does not need to be started to carry out image processing such as image acquisition and detection, so that the probability that the image processing equipment is mistakenly triggered is reduced, and the power consumption of the image processing equipment is reduced.

Description

Technical Field

[0001] The present application relates to the field of security cameras, and in particular to a control method and device for an image processing device and a camera device. Background Art

[0002] At present, in the fields of security and monitoring, a common solution is to set up an induction sensor. When an object enters the sensing area, a trigger signal is generated, and the image acquisition device starts recording, and then the image processing device performs image detection. A common problem in the industry is that the induction sensor is easily disturbed by the environment and generates false trigger signals, frequently waking up the image processing device, causing unnecessary power consumption. The above-mentioned induction sensor can be, for example, PIR (Passive infrared detectors), radar, etc.

[0003] For example, plants blown by wind often easily lead to false triggering of the above-mentioned image processing device, resulting in power consumption of the image processing device. Summary of the invention

[0004] In view of this, in order to solve some or all of the above-mentioned technical problems, the embodiments of the present application provide a control method and device of an image processing device and a camera device.

[0005] In a first aspect, an embodiment of the present application provides a method for controlling an image processing device, the method comprising:

[0006] Acquire position information collected by a target sensor, wherein a sensing area of ​​the target sensor includes a predetermined prohibited inspection area, and the position information indicates an object position of a triggering object in the sensing area;

[0007] Determining whether the object is located within the prohibited inspection area to generate first discrimination information;

[0008] Based on the first determination information, whether the image processing device is enabled is controlled.

[0009] In a possible implementation manner, the prohibited inspection area is determined in the following manner:

[0010] determining whether a target sensor detects a trigger object;

[0011] When the target sensor detects the trigger object, acquiring a target image including the trigger object, and determining a position of the trigger object to obtain a trigger position;

[0012] Performing target detection on the target image to determine whether the triggering object is the target object;

[0013] In a case where the trigger object is not the target object, a prohibited inspection area is determined based on the trigger position.

[0014] In a possible implementation manner, determining the prohibited inspection area based on the trigger position includes:

[0015] Determining the number of false triggers, wherein the number of false triggers is the number of times the trigger object is not the target object;

[0016] When the number of false triggers is greater than or equal to a preset threshold, a prohibited inspection area is generated based on the trigger position determined by the preset threshold number.

[0017] In a possible implementation manner, the generating a prohibited inspection area based on the trigger position determined based on the preset threshold number includes:

[0018] Determine the center position of the trigger position determined by the preset threshold number to obtain a first position;

[0019] Determine, among the trigger positions determined by the preset threshold number, the trigger position with the largest distance from the first position, to obtain a second position;

[0020] determining a distance between the second position and the first position to obtain a first distance;

[0021] A prohibited inspection area is determined based on the first distance and the first position.

[0022] In a possible implementation manner, determining a prohibited inspection area based on the first distance and the first position includes:

[0023] determining a product of the first distance and a first percentage to obtain a first product;

[0024] A circular area with the first position as the center and the first product as the radius is determined as a prohibited inspection area.

[0025] In a possible implementation manner, performing target detection on the target image to determine whether the triggering object is the target object includes:

[0026] Performing target detection on the target image to obtain a detection result;

[0027] When the detection result indicates that the target image does not contain the target object, the target image is sent to a preset terminal, wherein the preset terminal is used to input second discrimination information, and the second discrimination information indicates whether the target image contains the target object;

[0028] receiving the second identification information input by the preset terminal;

[0029] When the second determination information indicates that the target image does not include the target object, it is determined that the trigger object is not the target object.

[0030] In a possible implementation manner, after determining the prohibited inspection area based on the trigger position, the method further includes:

[0031] In the case that at least two of the determined prohibited inspection areas have overlapping areas, at least two prohibited inspection areas are merged to obtain a new prohibited inspection area.

[0032] In a possible implementation manner, the merging at least two of the prohibited inspection areas to obtain a new prohibited inspection area includes:

[0033] Determine the center position of the trigger position set to obtain a third position; wherein the trigger position set is: a set of trigger positions for determining at least two of the prohibited inspection areas;

[0034] Determine the trigger position in the trigger position set, the trigger position having the largest distance from the third position, to obtain a fourth position;

[0035] determining a distance between the fourth position and the third position to obtain a second distance;

[0036] Based on the second distance and the third position, a new no-inspection zone is determined.

[0037] In a possible implementation manner, determining the new prohibited inspection area based on the second distance and the third position includes:

[0038] determining a product of the second distance and a second percentage to obtain a second product;

[0039] A circular area with the third position as the center and the second product as the radius is determined as the new prohibited inspection area.

[0040] In a second aspect, an embodiment of the present application provides a control device for an image processing device, the device comprising:

[0041] an acquisition unit, configured to acquire position information collected by a target sensor, wherein a sensing area of ​​the target sensor includes a predetermined prohibited inspection area, and the position information indicates an object position of a triggering object in the sensing area;

[0042] a determination unit, configured to determine whether the object is located within the prohibited inspection area to generate first determination information;

[0043] A control unit is used to control whether the image processing device is enabled based on the first discrimination information.

[0044] In a possible implementation manner, the prohibited inspection area is determined in the following manner:

[0045] determining whether a target sensor detects a trigger object;

[0046] When the target sensor detects the trigger object, acquiring a target image including the trigger object, and determining a position of the trigger object to obtain a trigger position;

[0047] Performing target detection on the target image to determine whether the triggering object is the target object;

[0048] In a case where the trigger object is not the target object, a prohibited inspection area is determined based on the trigger position.

[0049] In a possible implementation manner, determining the prohibited inspection area based on the trigger position includes:

[0050] Determining the number of false triggers, wherein the number of false triggers is the number of times the trigger object is not the target object;

[0051] When the number of false triggers is greater than or equal to a preset threshold, a prohibited inspection area is generated based on the trigger position determined by the preset threshold number.

[0052] In a possible implementation manner, the generating a prohibited inspection area based on the trigger position determined based on the preset threshold number includes:

[0053] Determine the center position of the trigger position determined by the preset threshold number to obtain a first position;

[0054] Determine, among the trigger positions determined by the preset threshold number, the trigger position with the largest distance from the first position, to obtain a second position;

[0055] determining a distance between the second position and the first position to obtain a first distance;

[0056] A prohibited inspection area is determined based on the first distance and the first position.

[0057] In a possible implementation manner, determining a prohibited inspection area based on the first distance and the first position includes:

[0058] determining a product of the first distance and a first percentage to obtain a first product;

[0059] A circular area with the first position as the center and the first product as the radius is determined as a prohibited inspection area.

[0060] In a possible implementation manner, performing target detection on the target image to determine whether the triggering object is the target object includes:

[0061] Performing target detection on the target image to obtain a detection result;

[0062] When the detection result indicates that the target image does not contain the target object, the target image is sent to a preset terminal, wherein the preset terminal is used to input second discrimination information, and the second discrimination information indicates whether the target image contains the target object;

[0063] receiving the second identification information input by the preset terminal;

[0064] When the second determination information indicates that the target image does not include the target object, it is determined that the trigger object is not the target object.

[0065] In a possible implementation manner, after determining the prohibited inspection area based on the trigger position, the method further includes:

[0066] In the case that at least two of the determined prohibited inspection areas have overlapping areas, at least two prohibited inspection areas are merged to obtain a new prohibited inspection area.

[0067] In a possible implementation manner, the merging at least two of the prohibited inspection areas to obtain a new prohibited inspection area includes:

[0068] Determine the center position of the trigger position set to obtain a third position; wherein the trigger position set is: a set of trigger positions for determining at least two of the prohibited inspection areas;

[0069] Determine the trigger position in the trigger position set, the trigger position having the largest distance from the third position, to obtain a fourth position;

[0070] determining a distance between the fourth position and the third position to obtain a second distance;

[0071] Based on the second distance and the third position, a new no-inspection zone is determined.

[0072] In a possible implementation manner, determining the new prohibited inspection area based on the second distance and the third position includes:

[0073] determining a product of the second distance and a second percentage to obtain a second product;

[0074] A circular area with the third position as the center and the second product as the radius is determined as the new prohibited inspection area.

[0075] In a third aspect, an embodiment of the present application provides a camera device, including:

[0076] Memory for storing computer programs;

[0077] The processor is used to execute the computer program stored in the memory, and when the computer program is executed, the method of any embodiment of the control method of the image processing device of the first aspect of the present application is implemented.

[0078] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method of any embodiment of the control method of the image processing device of the first aspect described above is implemented.

[0079] In a fifth aspect, an embodiment of the present application provides a computer program, which includes a computer-readable code. When the computer-readable code is executed on a device, the processor in the device implements a method of any embodiment of the control method of the image processing device of the first aspect described above.

[0080] The control method of the image processing device provided in the embodiment of the present application can obtain the position information collected by the target sensor, wherein the sensing area of ​​the target sensor includes a predetermined prohibited inspection area, and the position information represents the object position of the trigger object in the sensing area, and then determines whether the object position is located in the prohibited inspection area to generate first discrimination information, and then controls whether the image processing device is enabled based on the first discrimination information. Thus, the prohibited inspection area can be set in the sensing area of ​​the target sensor, and then when the trigger object is located in the prohibited inspection area, there is no need to start the image processing device to perform image processing such as image acquisition and detection, thus reducing the probability of the image processing device being triggered by mistake and reducing the power consumption of the image processing device. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0082] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0083] One or more embodiments are exemplarily described by pictures in the corresponding drawings, and these exemplified descriptions do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings represent similar elements, and unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0084] Figure 1 A schematic diagram of a flow chart of a control method for an image processing device provided in an embodiment of the present application;

[0085] Figure 2 A schematic diagram of a flow chart of determining a prohibited inspection area in another method for controlling an image processing device provided in an embodiment of the present application;

[0086] Figure 3A A schematic diagram of an image acquisition position of an image processing device in a control method of an image processing device provided in an embodiment of the present application;

[0087] Figure 3B A schematic diagram of a prohibited inspection area with overlapping areas in a control method of an image processing device provided in an embodiment of the present application;

[0088] Figure 3C A schematic diagram of a prohibited inspection area in a sensing area in a control method of an image processing device provided in an embodiment of the present application;

[0089] Figure 4 A schematic diagram of the structure of a control device for an image processing device provided in an embodiment of the present application;

[0090] Figure 5 A schematic diagram of the structure of a camera device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0091] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. It should be noted that unless otherwise specifically stated, the relative arrangement of the components and steps, the numerical expressions and the numerical values ​​described in these embodiments do not limit the scope of the present application.

[0092] Those skilled in the art will understand that the terms "first" and "second" in the embodiments of the present application are only used to distinguish between different steps, devices, modules and other objects, and do not represent any specific technical meanings, nor do they indicate the logical order between them.

[0093] It should also be understood that in this embodiment, “plurality” may refer to two or more than two, and “at least one” may refer to one, two or more than two.

[0094] It should also be understood that any component, data or structure mentioned in the embodiments of the present application can generally be understood as one or more, unless explicitly limited or otherwise indicated in the context.

[0095] In addition, the term "and / or" in this application is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this application generally indicates that the associated objects before and after are in an "or" relationship.

[0096] It should also be understood that the description of the various embodiments in this application focuses on the differences between the various embodiments, and the same or similar aspects thereof can be referenced to each other, and for the sake of brevity, they will not be described one by one.

[0097] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present application, its application, or uses.

[0098] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the above-mentioned technologies, methods, and equipment should be considered as part of the specification.

[0099] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0100] It should be noted that, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other. To facilitate the understanding of the embodiments of the present application, the present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0101] In order to solve the technical problem of how to reduce the probability of an image processing device being falsely triggered and reduce the power consumption of the image processing device in the prior art, the present application provides a control method for an image processing device, which can reduce the probability of an image processing device being falsely triggered and reduce the power consumption of the image processing device.

[0102] Figure 1A flow chart of a control method for an image processing device provided in an embodiment of the present application. The method can be applied to one or more camera devices such as smart phones, laptops, desktop computers, portable computers, servers, etc. In addition, the execution subject of the method can be hardware or software. When the above-mentioned execution subject is hardware, the execution subject can be one or more of the above-mentioned camera devices. For example, a single camera device can execute the method, or multiple camera devices can cooperate with each other to execute the method. When the above-mentioned execution subject is software, the method can be implemented as multiple software or software modules, or as a single software or software module. No specific limitation is made here.

[0103] like Figure 1 As shown, the method specifically includes:

[0104] Step 101 : acquiring position information collected by a target sensor, wherein a sensing area of ​​the target sensor includes a predetermined prohibited inspection area, and the position information represents an object position of a triggering object in the sensing area.

[0105] In this embodiment, the target sensor can be used to determine the position of an object (ie, a triggering object) within its sensing area. As an example, the target sensor can include at least one of the following: a proximity (presence) sensing sensor, a distance detection sensor, and the like.

[0106] Among them, the proximity (presence) induction sensor has a certain induction area or range when working. When an object (also known as a triggering object) enters the area or the original object in the area changes, such as swinging, moving, etc., the sensor will be triggered to generate a detection signal.

[0107] The distance detection sensor is mainly composed of a detection circuit consisting of a transmitter and a receiver. It can emit detection signals such as light pulses or ultrasonic waves. When encountering an obstacle, the echo is reflected back to form an echo. By measuring the time difference between transmission and reception, the distance to the object (that is, the trigger object mentioned above) is calculated.

[0108] The prohibited inspection area may be an area determined by a user from the sensing area of ​​the target sensor; or, the prohibited inspection area may be an area automatically determined from the sensing area of ​​the target sensor using a certain strategy. The prohibited inspection area may be an area of ​​various shapes, for example, a rectangular, triangular, or irregular shape.

[0109] Here, as to how to automatically determine the prohibited inspection area from the sensing area of ​​the target sensor, please refer to the description below and will not be repeated here.

[0110] In addition, when the triggering object is located in the prohibited inspection area, it is not necessary to activate the image processing device. However, when the triggering object is located outside the prohibited inspection area, the image processing device can be activated.

[0111] Step 102: determine whether the object is located in the prohibited inspection area to generate first determination information.

[0112] In this embodiment, the first determination information may indicate whether the object is located in the prohibited inspection area.

[0113] Step 103: Based on the first determination information, control whether the image processing device is enabled.

[0114] In this embodiment, if the first discrimination information indicates that the object position is within the prohibited inspection area, then there is no need to control the image processing device to be enabled; if the first discrimination information does not indicate that the object position is within the prohibited inspection area, then the image processing device can be controlled to be enabled.

[0115] Here, the target sensor can be used to control whether the image processing device is enabled. For example, if the target sensor detects a trigger object, and the trigger object is not located in the above-mentioned prohibited inspection area, then the image processing device can be controlled to be enabled. If the target sensor detects a trigger object, and the trigger object is located in the above-mentioned prohibited inspection area, then there is no need to control the image processing device to be enabled. Furthermore, after the image processing device is enabled, an image of the location where the trigger object is located can be captured, and the captured image can be detected, such as face detection, face tracking, face recognition, etc.

[0116] The control method of the image processing device provided in the embodiment of the present application can obtain the position information collected by the target sensor, wherein the sensing area of ​​the target sensor includes a predetermined prohibited inspection area, and the position information represents the object position of the trigger object in the sensing area, and then determines whether the object position is located in the prohibited inspection area to generate first discrimination information, and then controls whether the image processing device is enabled based on the first discrimination information. Thus, the prohibited inspection area can be set in the sensing area of ​​the target sensor, and then when the trigger object is located in the prohibited inspection area, there is no need to start the image processing device to perform image processing such as image acquisition and detection, thus reducing the probability of the image processing device being triggered by mistake and reducing the power consumption of the image processing device.

[0117] Figure 2 A schematic diagram of a flow chart of determining a prohibited inspection area in another control method of an image processing device provided in an embodiment of the present application. Figure 2 As shown, the method specifically includes:

[0118] Step 201, determining whether a target sensor detects a triggering object.

[0119] In this embodiment, the target sensor can be used to determine the position of an object (ie, a triggering object) within its sensing area. As an example, the target sensor can include at least one of the following: a proximity (presence) sensing sensor, a distance detection sensor, and the like.

[0120] Among them, the proximity (presence) induction sensor has a certain induction area or range when working. When an object (also known as a triggering object) enters the area or the original object in the area changes, such as swinging, moving, etc., the sensor will be triggered to generate a detection signal.

[0121] The distance detection sensor is mainly composed of a detection circuit consisting of a transmitter and a receiver. It can emit detection signals such as light pulses or ultrasonic waves. When encountering an obstacle, it is reflected back to form an echo. The distance to the object (that is, the trigger object mentioned above) is calculated by measuring the time difference from transmission to reception.

[0122] Step 202 : when the target sensor detects the trigger object, a target image including the trigger object is acquired, and a position of the trigger object is determined to obtain a trigger position.

[0123] In this embodiment, the target image may be an image including the trigger object.

[0124] The trigger position may be the position of the trigger object.

[0125] When the target sensor detects the trigger object, an image acquisition device (such as a camera) can acquire a target image including the trigger object.

[0126] A target sensor may determine the location of the triggering object.

[0127] Step 203: Perform target detection on the target image to determine whether the triggering object is a target object.

[0128] In this embodiment, target detection can be the detection of whether there are target objects such as faces and vehicles in the target image. Through target detection, it can be determined whether the target image includes target objects such as faces and vehicles.

[0129] Step 204: When the trigger object is not the target object, determine a prohibited inspection area based on the trigger position.

[0130] In this embodiment, if the trigger object is not the target object, then the prohibited inspection area can be determined based on the position of the trigger object that is not the target object (ie, the trigger position, hereinafter referred to as position A).

[0131] As an example, a circular area with position A as the center and the target length as the radius can be determined as a prohibited inspection area.

[0132] The target length may be a predetermined and fixed value, or a variable value updated according to a certain strategy.

[0133] In some optional implementations of this embodiment, the following method may be used to determine the prohibited inspection area based on the trigger position:

[0134] The first step is to determine the number of false triggers, wherein the number of false triggers is the number of times (ie, quantity) that the trigger object is not the target object.

[0135] In the second step, when the number of false triggers is greater than or equal to a preset threshold, a prohibited inspection area is generated based on the trigger position determined by the preset threshold number.

[0136] As an example, a circular area with the smallest area including the trigger positions determined by the preset threshold number may be determined as a prohibited inspection area.

[0137] Optionally, other methods may be used to determine the prohibited inspection area. Please refer to the following description for details, which will not be elaborated here.

[0138] In some cases, the number of false triggers may be the number (number of times) of trigger objects that are continuously determined as not being the target objects in the target area.

[0139] The target area may be a circular area with position A as the center and a preset value as the radius.

[0140] For example, if after the target sensor detects the trigger object, it is continuously determined that the trigger objects are all located in the target area, and the trigger objects are not the target objects, and the number of consecutive determinations is greater than or equal to a preset threshold, then the prohibited inspection area can be determined based on the trigger position determined based on the number of consecutive determinations of the preset threshold.

[0141] It can be understood that in the above optional implementation method, the prohibited inspection area can be determined based on the preset threshold trigger position. In this way, on the one hand, the accuracy of determining the prohibited inspection area can be improved, and on the other hand, the frequency of determining the prohibited inspection area can be reduced to avoid frequent changes in the prohibited inspection area.

[0142] In some application scenarios of the above optional implementations, the following method may be used to generate a prohibited inspection area based on the trigger position determined by the preset threshold number:

[0143] Step 1: determine the center position of the trigger position determined by the preset threshold number to obtain a first position.

[0144] The first position represents the center position of the preset threshold (eg, 10) trigger positions.

[0145] Step 2: determine the trigger position with the largest distance from the first position among the trigger positions determined by the preset threshold number, and obtain a second position.

[0146] The second position may be, among the trigger positions determined by the preset threshold number, a trigger position having the largest distance from the first position.

[0147] Step three: determine the distance between the second position and the first position to obtain a first distance.

[0148] The first distance may be the distance between the second position and the first position.

[0149] Step 4: determine a prohibited inspection area based on the first distance and the first position.

[0150] As an example, a circular area with the first position as the center and the first distance as the radius can be determined as a prohibited inspection area.

[0151] Optionally, other methods may be used to determine the prohibited inspection area. Please refer to the following description for details, which will not be elaborated here.

[0152] It can be understood that in the above application scenario, the prohibited inspection area can be determined more accurately based on the first distance and the first position.

[0153] In some cases of the above application scenarios, the following method may also be used to determine the prohibited inspection area based on the first distance and the first position:

[0154] First, the product of the first distance and the first percentage is determined to obtain a first product.

[0155] The first product may be the product of the first distance and a first percentage (eg, 80%).

[0156] Afterwards, a circular area with the first position as the center and the first product as the radius is determined as a prohibited inspection area.

[0157] It can be understood that in the above case, a circular area with the first position as the center and the first product as the radius can be determined as a prohibited inspection area. In this way, the determined prohibited inspection area does not include relatively discrete trigger positions, thereby further improving the accuracy of determining the prohibited inspection area.

[0158] In some optional implementations of this embodiment, the following method may be used to perform target detection on the target image to determine whether the triggering object is the target object:

[0159] The first step is to perform target detection on the target image to obtain a detection result.

[0160] The above detection result may indicate whether the target image contains a target object (eg, a face, a vehicle).

[0161] In the second step, when the detection result indicates that the target image does not contain the target object, the target image is sent to a preset terminal.

[0162] The preset terminal is used to input second discrimination information. The second discrimination information indicates whether the target image contains the target object.

[0163] For example, the user can use a preset terminal to determine whether the target image contains the target object, and input the determination result (ie, the second determination information) into the preset terminal, after which the preset terminal can send the determination result to the execution subject of the method.

[0164] The third step is to receive the second identification information input by the preset terminal.

[0165] In a fourth step, when the second discrimination information indicates that the target image does not include the target object, determining that the trigger object is not the target object.

[0166] It can be understood that in the above optional implementation, when the detection result indicates that the target image does not contain the target object, the user can further determine whether the target image contains the target object. When the user determines that the target image does contain the target object, it is finally determined that the trigger object is not the target object. In this way, the accuracy of judging whether the trigger object is the target object can be improved, and then, the accuracy of determining the prohibited inspection area can be further improved.

[0167] In some optional implementations of this embodiment, after determining the prohibited inspection area based on the trigger position, if at least two of the determined prohibited inspection areas have overlapping areas, at least two of the prohibited inspection areas may be merged to obtain a new prohibited inspection area.

[0168] Here, after merging at least two of the prohibited inspection areas, a new prohibited inspection area can be obtained.

[0169] As an example, the new prohibited inspection area can be a circular area with the smallest area that includes all the prohibited inspection areas to be merged. In addition, the new prohibited inspection area can also be determined in other ways, which are described later and will not be described here.

[0170] It can be understood that in the above optional implementation, a new prohibited inspection area can be obtained by merging prohibited inspection areas with overlapping parts, thereby further improving the accuracy of determining the prohibited inspection area.

[0171] In some cases, the condition for merging the prohibited inspection areas to obtain a new prohibited inspection area may be: there is an overlapping area between at least two prohibited inspection areas; or the condition for merging the prohibited inspection areas to obtain a new prohibited inspection area may also be: there is an overlapping area between at least two prohibited inspection areas, and the area of ​​the overlapping area is greater than a preset percentage (e.g., 50%) of the target prohibited inspection area in the at least two prohibited inspection areas. The target prohibited inspection area may be any prohibited inspection area of ​​the at least two prohibited inspection areas; or the target prohibited inspection area may also be the prohibited inspection area with the smallest area of ​​the at least two prohibited inspection areas; or the target prohibited inspection area may also be the prohibited inspection area with the largest area of ​​the at least two prohibited inspection areas.

[0172] In some application scenarios of the above optional implementations, the following method may be used to merge at least two prohibited inspection areas to obtain a new prohibited inspection area:

[0173] The first step is to determine the center position of the trigger position set to obtain the third position.

[0174] The trigger position set is a set of trigger positions for determining at least two inspection-prohibited areas.

[0175] The third position may be the center position of each trigger position in the trigger position set.

[0176] The second step is to determine the trigger position in the trigger position set, which has the largest distance from the third position, to obtain a fourth position.

[0177] The fourth position may be the trigger position in the trigger position set that has the largest distance from the third position.

[0178] The third step is to determine the distance between the fourth position and the third position to obtain a second distance.

[0179] The second distance may be the distance between the fourth position and the third position.

[0180] The fourth step is to determine a new prohibited inspection area based on the second distance and the third position.

[0181] As an example, a circular area with the third position as the center and the second distance as the radius can be determined as a prohibited inspection area.

[0182] Optionally, other methods may be used to determine the prohibited inspection area. Please refer to the following description for details, which will not be elaborated here.

[0183] It can be understood that in the above application scenario, the prohibited inspection area can be determined more accurately based on the second distance and the third position.

[0184] In some cases of the above application scenarios, the following method may also be used to determine the new prohibited inspection area based on the second distance and the third position:

[0185] First, the product of the second distance and the second percentage is determined to obtain a second product.

[0186] The second product may be the product of the second distance and the second percentage (eg, 80%).

[0187] The second percentage may be equal to or different from the first percentage.

[0188] In some cases, the second percentage may be less than the first percentage.

[0189] Afterwards, a circular area with the third position as the center and the second product as the radius is determined as the new prohibited inspection area.

[0190] It can be understood that in the above application case, the circular area with the third position as the center and the second product as the radius can be determined as the prohibited inspection area. In this way, the newly determined prohibited inspection area does not contain the more discrete trigger positions, thereby further improving the accuracy of determining the prohibited inspection area.

[0191] It should be noted that, in addition to the above contents, this embodiment may also include Figure 1 The corresponding technical features described in the corresponding embodiments are realized Figure 1 For details, please refer to Figure 1 For the sake of brevity, the relevant description is not repeated here.

[0192] The control method of the image processing device provided in the embodiment of the present application determines the prohibited inspection area through the position of the trigger object that is not the target object detected by the target sensor. In this way, the prohibited inspection area can be automatically determined in combination with the actual scene, and different prohibited inspection areas can be determined for different scenes.

[0193] The following is an illustrative description of the embodiments of the present application, but it should be noted that the embodiments of the present application may have the features described below, but the following description does not constitute a limitation on the scope of protection of the embodiments of the present application.

[0194] Currently in the security camera industry, a common solution is to set up a presence / proximity sensor (corresponding to the target sensor mentioned above). When an object (corresponding to the trigger object) enters the sensing area, a trigger signal is generated, and the device (corresponding to the image processing device) starts recording. A common problem in the industry is that inductive sensors (such as PIR, radar, etc.) are easily affected by environmental interference and generate false trigger signals, frequently waking up the device to record, resulting in unnecessary power consumption.

[0195] For example, in common scenarios where false triggering is frequent, the installation location has an important impact, such as Figure 3A As shown, Figure 3A A schematic diagram of the image acquisition position of an image processing device in a control method of an image processing device provided in an embodiment of the present application. Figure 3A In the figure, the plants in the middle and right side of the image are the main reasons for frequent false triggering.

[0196] In practice, when an object approaches an IPC (IP Camera) device (that is, a device equipped with the above-mentioned image processing device and target sensor) and enters the sensing area, it triggers the PIR (Passive infrared detectors, that is, the above-mentioned target sensor) to generate an interrupt signal, wakes up the IPC device to record, and sends the recorded data to the base station through a wireless module. At the same time, the IPC device will perform AI (Artificial Intelligence) face or human figure recognition on the recorded image. If a face or human figure is detected, this trigger is considered to be a valid trigger; otherwise, if no face or human figure is detected for several seconds, this trigger is recorded as an invalid trigger (that is, a false trigger).

[0197] For the above-mentioned scenario with frequent false triggering, this solution can identify the validity of images in the frequent false triggering areas according to different user usage scenarios, and dynamically draw a false triggering area map (that is, the above-mentioned prohibited inspection area). If there is a trigger signal generated in the non-detection area, the detection will not be started.

[0198] This method specifically comprises the following steps:

[0199] Step 1: When an object (i.e. the trigger object) approaches the IPC device or its posture changes, it triggers a distance (position) detection sensor (i.e. the target sensor), such as a radar. The main controller can obtain data from the sensor to know the position information of the object that generates the trigger signal, such as distance, angle, etc.

[0200] Step 2: The main controller starts running the AI ​​algorithm module to perform face or human figure recognition. The camera captures the image, and the AI ​​module analyzes whether there is human information from the image data (to obtain the detection result). If not detected, it is regarded as an invalid trigger, and the location information (x, y) of the trigger source is recorded.

[0201] Step three, if an object is detected to generate a trigger signal again, and its position information is near the previously marked (x+delta, y+delta), the AI ​​module detection (that is, the above-mentioned image processing device) is started. If the marked position (x+delta, y+delta) is judged as an invalid trigger several times in a row, a short video of a few seconds is recorded and pushed to the user for confirmation, prompting that the device determines that this recording is an interference trigger recording, and waits for the user's confirmation in order to obtain the second judgment information entered by the user.

[0202] Wherein, delta is an adjustable threshold value, which is set to a default value delta0 at the factory. The default value delta0 can be determined according to the resolution of the image captured by the IPC.

[0203] Step four, if the user confirms that it is an invalid trigger, then the area near the corresponding mark position is set as the undetected area, the center position where the trigger signal is frequently generated is set as the origin, and 80% (that is, the first percentage and the second percentage) of the distance from the trigger point position farthest from the origin (that is, the second position and the fourth position mentioned above) to the origin is adjusted to delta1, thereby generating an undetected area (x1+delta1, y1+delta1).

[0204] For example, the first false trigger signal position is (x0, y0), and the positions of 10 consecutive trigger signals are all at (x0+delta0, y0+delta0). A message is pushed and the user confirms that it is a false trigger. Then the center point of the 10 trigger signal positions is set as the origin (x1, y1). The signal position farthest from the origin among the 10 trigger signals is found, and 80% of the farthest distance is set as the range threshold, which is dynamically adjusted to delta1. This completes the definition of a non-detection area.

[0205] Step 5: Merge the undetected areas. The information of the false trigger point location can be transmitted and pushed to the next false trigger undetected area. Specifically, if the two undetected areas overlap, the two areas are merged to form a new undetected area. Figure 3B As shown, Figure 3B A schematic diagram of a prohibited inspection area with overlapping areas in a control method for an image processing device provided in an embodiment of the present application.

[0206] Step 6: Separate the independent non-detection area. If the newly generated non-detection area has no overlapping part with other non-detection areas, it will be independently used as a new non-detection area.

[0207] Step 7: Repeat steps 1 to 6 above to dynamically draw multiple non-detection areas to form a non-detection area (i.e., prohibited inspection area) map, such as Figure 3C As shown, Figure 3C A schematic diagram of a prohibited inspection area in a sensing area in a control method of an image processing device provided in an embodiment of the present application. In FIG3 , the fan-shaped area represents the sensing area of ​​the target sensor, and areas 301, 302, and 303 are non-detection areas, i.e. prohibited inspection areas. If the location information generating the trigger signal is located in this area, the device detection (i.e. the above-mentioned image processing device) will no longer be started.

[0208] It should be noted that, in addition to the contents recorded above, this embodiment may also include the technical features described in the above embodiments, so as to achieve the technical effects of the control method of the image processing device shown above. Please refer to the above description for details. For the sake of brevity, it will not be repeated here.

[0209] This solution proposes a method for dividing prohibited inspection areas, identifying the effectiveness of images in frequently triggered areas according to different user usage scenarios, and dynamically drawing a false trigger area map. If there is a trigger signal generated in the non-detection area, the detection will not be started. In this way, the probability of the image processing device being falsely triggered is reduced, and the power consumption of the image processing device is reduced.

[0210] Figure 4 A schematic diagram of the structure of a control device for an image processing device provided in an embodiment of the present application. Specifically comprising:

[0211] An acquisition unit 401 is configured to acquire position information collected by a target sensor, wherein a sensing area of ​​the target sensor includes a predetermined prohibited inspection area, and the position information indicates an object position of a triggering object in the sensing area;

[0212] A determination unit 402 is used to determine whether the object is located in the prohibited inspection area to generate first determination information;

[0213] The control unit 403 is configured to control whether the image processing device is enabled based on the first determination information.

[0214] In a possible implementation manner, the prohibited inspection area is determined in the following manner:

[0215] determining whether a target sensor detects a trigger object;

[0216] When the target sensor detects the trigger object, acquiring a target image including the trigger object, and determining a position of the trigger object to obtain a trigger position;

[0217] Performing target detection on the target image to determine whether the triggering object is the target object;

[0218] In a case where the trigger object is not the target object, a prohibited inspection area is determined based on the trigger position.

[0219] In a possible implementation manner, determining the prohibited inspection area based on the trigger position includes:

[0220] Determining the number of false triggers, wherein the number of false triggers is the number of times the trigger object is not the target object;

[0221] When the number of false triggers is greater than or equal to a preset threshold, a prohibited inspection area is generated based on the trigger position determined by the preset threshold number.

[0222] In a possible implementation manner, the generating a prohibited inspection area based on the trigger position determined based on the preset threshold number includes:

[0223] Determine the center position of the trigger position determined by the preset threshold number to obtain a first position;

[0224] Determine, among the trigger positions determined by the preset threshold number, the trigger position with the largest distance from the first position, to obtain a second position;

[0225] determining a distance between the second position and the first position to obtain a first distance;

[0226] A prohibited inspection area is determined based on the first distance and the first position.

[0227] In a possible implementation manner, determining a prohibited inspection area based on the first distance and the first position includes:

[0228] determining a product of the first distance and a first percentage to obtain a first product;

[0229] A circular area with the first position as the center and the first product as the radius is determined as a prohibited inspection area.

[0230] In a possible implementation manner, performing target detection on the target image to determine whether the triggering object is the target object includes:

[0231] Performing target detection on the target image to obtain a detection result;

[0232] When the detection result indicates that the target image does not contain the target object, the target image is sent to a preset terminal, wherein the preset terminal is used to input second discrimination information, and the second discrimination information indicates whether the target image contains the target object;

[0233] receiving the second identification information input by the preset terminal;

[0234] When the second determination information indicates that the target image does not include the target object, it is determined that the trigger object is not the target object.

[0235] In a possible implementation manner, after determining the prohibited inspection area based on the trigger position, the method further includes:

[0236] In the case that at least two of the determined prohibited inspection areas have overlapping areas, at least two prohibited inspection areas are merged to obtain a new prohibited inspection area.

[0237] In a possible implementation manner, the merging at least two of the prohibited inspection areas to obtain a new prohibited inspection area includes:

[0238] Determine the center position of the trigger position set to obtain a third position; wherein the trigger position set is: a set of trigger positions for determining at least two of the prohibited inspection areas;

[0239] Determine the trigger position in the trigger position set, the trigger position having the largest distance from the third position, to obtain a fourth position;

[0240] determining a distance between the fourth position and the third position to obtain a second distance;

[0241] Based on the second distance and the third position, a new no-inspection zone is determined.

[0242] In a possible implementation manner, determining the new prohibited inspection area based on the second distance and the third position includes:

[0243] determining a product of the second distance and a second percentage to obtain a second product;

[0244] A circular area with the third position as the center and the second product as the radius is determined as the new prohibited inspection area.

[0245] The control device of the image processing device provided in this embodiment may be as follows Figure 4 The control device of the image processing device shown in can execute all steps of the control methods of each image processing device described above, thereby achieving the technical effects of the control methods of each image processing device described above. Please refer to the above related description for details. For the sake of brevity, it will not be repeated here.

[0246] Figure 5 A schematic diagram of the structure of a camera device provided in an embodiment of the present application is shown in FIG. Figure 5 The camera device 500 shown includes: at least one processor 501, a memory 502, at least one network interface 504 and other user interfaces 503. The various components in the camera device 500 are coupled together via a bus system 505. It is understood that the bus system 505 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 505 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, the bus system 505 is not described in detail. Figure 5 Various buses are labeled as bus system 505 .

[0247] The user interface 503 may include a display, a keyboard, or a pointing device (eg, a mouse, a trackball, a touch pad, or a touch screen).

[0248] It can be understood that the memory 502 in the embodiment of the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct RAM bus random access memory (DRRAM). The memory 502 described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0249] In some implementations, the memory 502 stores the following elements, executable units or data structures, or a subset thereof, or an extended set thereof: an operating system 5021 and an application program 5022 .

[0250] Among them, the operating system 5021 includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., which are used to implement various basic services and process hardware-based tasks. The application 5022 includes various application programs, such as a media player (Media Player), a browser (Browser), etc., which are used to implement various application services. The program for implementing the method of the embodiment of the present application can be included in the application 5022.

[0251] In this embodiment, by calling the program or instruction stored in the memory 502, specifically, the program or instruction stored in the application 5022, the processor 501 is used to execute the method steps provided by each method embodiment, for example, including:

[0252] Acquire position information collected by a target sensor, wherein a sensing area of ​​the target sensor includes a predetermined prohibited inspection area, and the position information indicates an object position of a triggering object in the sensing area;

[0253] Determining whether the object is located within the prohibited inspection area to generate first discrimination information;

[0254] Based on the first determination information, whether the image processing device is enabled is controlled.

[0255] The method disclosed in the above embodiment of the present application can be applied to the processor 501, or implemented by the processor 501. The processor 501 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 501. The above processor 501 can be a general processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware decoding processor to execute, or the hardware and software units in the decoding processor can be executed. The software unit can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 502, and the processor 501 reads the information in the memory 502 and completes the steps of the above method in combination with its hardware.

[0256] It is understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit may be implemented in one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPDevice, DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), general purpose processors, controllers, microcontrollers, microprocessors, other electronic units for performing the above functions of the present application, or a combination thereof.

[0257] For software implementation, the technology described above in this article can be implemented by a unit that performs the functions described above in this article. The software code can be stored in a memory and executed by a processor. The memory can be implemented in the processor or outside the processor.

[0258] The camera device provided in this embodiment may be as follows Figure 5 The camera device shown in can execute all steps of the control method of each image processing device described above, thereby achieving the technical effects of the control method of each image processing device described above. Please refer to the above related description for details. For the sake of brevity, it will not be repeated here.

[0259] The embodiment of the present application also provides a storage medium (computer-readable storage medium). The storage medium here stores one or more programs. The storage medium may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk or a solid-state drive; the memory may also include a combination of the above-mentioned types of memory.

[0260] When one or more programs in the storage medium can be executed by one or more processors, the control method of the image processing device executed on the camera device side can be implemented.

[0261] The processor is used to execute the control program of the image processing device stored in the memory to implement the following steps of the control method of the image processing device executed on the camera device side:

[0262] Acquire position information collected by a target sensor, wherein a sensing area of ​​the target sensor includes a predetermined prohibited inspection area, and the position information indicates an object position of a triggering object in the sensing area;

[0263] Determining whether the object is located within the prohibited inspection area to generate first discrimination information;

[0264] Based on the first determination information, whether the image processing device is enabled is controlled.

[0265] The professionals should also be further aware that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. 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 this application.

[0266] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0267] It should be understood that the terms used herein are only for the purpose of describing specific example embodiments and are not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms "one", "an" and "said" as used herein may also be meant to include plural forms. The terms "include", "comprise", "contain", and "have" are inclusive, and therefore specify the existence of stated features, steps, operations, elements and / or parts, but do not exclude the existence or addition of one or more other features, steps, operations, elements, parts, and / or combinations thereof. The method steps, processes, and operations described herein are not interpreted as necessarily requiring them to be performed in the specific order described or illustrated, unless the execution order is clearly indicated. It should also be understood that additional or alternative steps may be used.

[0268] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A control method for an image processing device, characterized in that: The method comprises: Acquire position information collected by a target sensor, wherein a sensing area of ​​the target sensor includes a predetermined prohibited inspection area, and the position information indicates an object position of a triggering object in the sensing area; Determining whether the object is located within the prohibited inspection area to generate first discrimination information; Based on the first determination information, whether the image processing device is enabled is controlled.

2. The method according to claim 1, characterized in that The prohibited inspection area is determined in the following manner: determining whether a target sensor detects a trigger object; When the target sensor detects the trigger object, acquiring a target image including the trigger object, and determining a position of the trigger object to obtain a trigger position; Performing target detection on the target image to determine whether the triggering object is the target object; In a case where the trigger object is not the target object, a prohibited inspection area is determined based on the trigger position.

3. The method according to claim 2, characterized in that The step of determining a prohibited inspection area based on the trigger position includes: Determining the number of false triggers, wherein the number of false triggers is the number of times the trigger object is not the target object; When the number of false triggers is greater than or equal to a preset threshold, a prohibited inspection area is generated based on the trigger position determined by the preset threshold number.

4. The method according to claim 3, characterized in that The generating a prohibited inspection area based on the trigger position determined based on the preset threshold number includes: Determine the center position of the trigger position determined by the preset threshold number to obtain a first position; Determine, among the trigger positions determined by the preset threshold number, the trigger position with the largest distance from the first position, to obtain a second position; determining a distance between the second position and the first position to obtain a first distance; A prohibited inspection area is determined based on the first distance and the first position.

5. The method according to claim 4, characterized in that The step of determining a prohibited inspection area based on the first distance and the first position includes: determining a product of the first distance and a first percentage to obtain a first product; A circular area with the first position as the center and the first product as the radius is determined as a prohibited inspection area.

6. The method according to claim 2, characterized in that The performing target detection on the target image to determine whether the triggering object is the target object includes: Performing target detection on the target image to obtain a detection result; When the detection result indicates that the target image does not contain the target object, the target image is sent to a preset terminal, wherein the preset terminal is used to input second discrimination information, and the second discrimination information indicates whether the target image contains the target object; receiving the second identification information input by the preset terminal; When the second determination information indicates that the target image does not include the target object, it is determined that the trigger object is not the target object.

7. The method according to any one of claims 2 to 6, characterized in that: After determining the prohibited inspection area based on the trigger position, the method further includes: In the case that at least two of the determined prohibited inspection areas have overlapping areas, at least two prohibited inspection areas are merged to obtain a new prohibited inspection area.

8. The method according to claim 7, characterized in that The merging of at least two of the prohibited inspection areas to obtain a new prohibited inspection area includes: Determine the center position of the trigger position set to obtain a third position; wherein the trigger position set is: a set of trigger positions for determining at least two of the prohibited inspection areas; Determine the trigger position in the trigger position set, the trigger position having the largest distance from the third position, to obtain a fourth position; determining a distance between the fourth position and the third position to obtain a second distance; Based on the second distance and the third position, a new no-inspection zone is determined.

9. The method according to claim 8, characterized in that The step of determining the new prohibited inspection area based on the second distance and the third position includes: determining a product of the second distance and a second percentage to obtain a second product; A circular area with the third position as the center and the second product as the radius is determined as the new prohibited inspection area.

10. A control device for an image processing device, characterized in that: The device comprises: an acquisition unit, configured to acquire position information collected by a target sensor, wherein a sensing area of ​​the target sensor includes a predetermined prohibited inspection area, and the position information indicates an object position of a triggering object in the sensing area; a determination unit, configured to determine whether the object is located within the prohibited inspection area to generate first determination information; A control unit is used to control whether the image processing device is enabled based on the first discrimination information.

11. A camera device, characterized in that: include: Memory for storing computer programs; A processor, configured to execute a computer program stored in the memory, and when the computer program is executed, implement the method described in any one of claims 1 to 9.

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