CN110895860A - Region monitoring method and device, electronic equipment and storage medium - Google Patents
Region monitoring method and device, electronic equipment and storage medium Download PDFInfo
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- CN110895860A CN110895860A CN201911008580.8A CN201911008580A CN110895860A CN 110895860 A CN110895860 A CN 110895860A CN 201911008580 A CN201911008580 A CN 201911008580A CN 110895860 A CN110895860 A CN 110895860A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/181—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using active radiation detection systems
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
- G08B13/19613—Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
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Abstract
The invention relates to a region monitoring method, a region monitoring device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring scanning information output by a millimeter wave radar scanning monitored area; determining gait characteristics of an intruding object in the monitored area based on the scanning information; determining whether the intrusion object is a forbidden access object of the monitored area according to the gait characteristics; and if the intrusion object is the object prohibited from entering, giving an alarm. The embodiment of the invention can determine whether the intrusion object is the forbidden object or not according to the gait characteristics of the intrusion object, and can send out an alarm when determining that the intrusion object is the forbidden object, so that the responsible personnel in the monitored area can arrive at the scene as soon as possible, and the safety of the specific monitored area is ensured.
Description
Technical Field
The present invention relates to the field of electronic information technologies, and in particular, to a method and an apparatus for monitoring a region, an electronic device, and a storage medium.
Background
In the information age of rapid development, it is important to safeguard personal and property safety in a specific area such as a confidential area and a home area.
At present, infrared rays, laser or cameras are mainly designed for anti-theft systems existing in the market, but the cameras are seriously influenced by environmental factors such as illumination, the detection distance of the infrared rays is short in the environment with sunlight, and the laser radar cannot detect position information. Therefore, the conventional anti-theft system may have a problem of poor security, and may cause leakage and theft of confidential information in a confidential area, or may threaten personal and property security in a home area or the like.
Disclosure of Invention
In order to solve the technical problem of poor safety of the conventional anti-theft system, the invention provides a region monitoring method, a region monitoring device, electronic equipment and a storage medium.
In a first aspect, the present invention provides a method for monitoring a region, the method comprising:
acquiring scanning information output by a millimeter wave radar scanning monitored area;
determining gait characteristics of an intruding object in the monitored area based on the scanning information;
determining whether the intrusion object is a forbidden access object of the monitored area according to the gait characteristics;
and if the intrusion object is the object prohibited from entering, giving an alarm.
Optionally, determining gait characteristics of an intruding object in the monitored area based on the scanning information comprises:
inputting the scanning information into a preset convolutional neural network model, and extracting features by using the convolutional neural network model to obtain the gait features.
Optionally, determining whether the intrusion object is a prohibited entry object of the monitored area according to the gait characteristics includes:
inputting the gait characteristics into a preset classification model, and carrying out gait classification on the intrusion object;
determining whether the classification result is different from a classification category allowed to enter the object;
and if the classification result is different from the classification type of the access-permitted object, determining that the access-permitted object is an access-prohibited object of the monitored area.
Optionally, the classification model is a bidirectional long-and-short term memory network, and the bidirectional long-and-short term memory network includes a forward long-and-short term memory network and a backward long-and-short term memory network.
Optionally, the output of the long-time memory network may be expressed as:
L＝Softmax(Ot)
in the formula (I), the compound is shown in the specification,
representing a sequence from x1To xTTime-forward LSTM output, Ot bRepresenting a sequence from xTTo x1Time-backward LSTM outputs, α and β represent forward LSTM importance factors and backward LSTM importance factors, respectively, α + β is 1, and L represents the classification result of the output.
Optionally, the method further comprises:
judging whether the current moment is within a preset enough illumination time period;
if the current moment is within the preset sufficient illumination time period, a step of acquiring a snapshot image of the intrusion object by using an image acquisition device is executed;
and if the current moment is not within the preset enough illumination time period, triggering the lighting device, and executing the step of acquiring the snapshot image of the intrusion object by using the image acquisition device.
Optionally, the method further comprises:
if the intrusion object is a forbidden object, acquiring a snapshot image of the intrusion object by using an image acquisition device;
and if the intrusion object is an object allowed to enter, allowing the intrusion object to enter the monitored area.
In a second aspect, the present invention also provides an area monitoring apparatus, including:
the information acquisition module is used for acquiring scanning information output by the millimeter wave radar scanning monitored area;
the characteristic determination module is used for determining the gait characteristics of the intrusion object in the monitored area based on the scanning information;
the object determining module is used for determining whether the intrusion object is a forbidden entry object in the monitored area according to the gait characteristics;
and the alarm module is used for sending out an alarm if the intrusion object is a forbidden access object.
In a third aspect, the present invention further provides an electronic device, including a processor, a communication interface, a memory and a communication bus, where the processor, the communication interface, and the memory complete mutual communication through the communication bus;
a memory for storing a computer program;
a processor for implementing the steps of the method of any one of the first aspect when executing a program stored in the memory.
In a fourth aspect, the invention also provides a computer readable medium having non-volatile program code executable by a processor, the program code causing the processor to perform the method of any of the first aspects.
Compared with the prior art, the technical scheme provided by the embodiment of the invention has the following advantages: according to the embodiment of the invention, the scanning information output by the millimeter wave radar scanning monitored area is acquired, the gait feature of the intrusion object in the monitored area is determined based on the scanning information, whether the intrusion object is the prohibited object of the monitored area is determined according to the gait feature, and finally, an alarm can be given out if the intrusion object is the prohibited object.
The embodiment of the invention can determine whether the intrusion object is the forbidden entry object or not according to the gait characteristics of the intrusion object, and can send out an alarm when determining that the intrusion object is the forbidden entry object, so that the responsible personnel in the monitored area can arrive at the scene as soon as possible to avoid illegal intrusion of the forbidden entry object, or even if the forbidden entry object is finished, as the responsible personnel can arrive at the scene as soon as possible, the forbidden entry object can be rapidly expelled to leave, thereby ensuring the safety of the monitored area and avoiding the loss of lives and properties.
Drawings
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.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a flowchart of a method for monitoring a region according to an embodiment of the present invention;
FIG. 2 is a flowchart of step S103 in FIG. 1;
FIG. 3 is a schematic diagram of a classification model provided by an embodiment of the present invention;
fig. 4 is a structural diagram of an area monitoring device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Because the existing anti-theft system may have poor security, confidential information in a confidential area may be leaked and stolen, or personal and property security in a home area and the like may be threatened. Therefore, the embodiment of the invention provides a region monitoring method, a region monitoring device, electronic equipment and a storage medium.
The electronic equipment can be internally provided with a millimeter wave radar and an image acquisition device; or only the millimeter wave radar can be arranged in the electronic equipment and is in communication connection with an external image acquisition device, and a processor in the electronic equipment sends a control instruction to the image acquisition device and receives image information output by the image acquisition device; the image acquisition device can be only arranged in the electronic equipment and is in communication connection with an external millimeter wave radar, and a processor in the electronic equipment sends a control instruction to the millimeter wave radar and receives scanning information output by the millimeter wave radar; the electronic equipment can also be respectively in communication connection with an external millimeter wave radar and an external image acquisition device, a processor in the electronic equipment respectively sends control instructions to the millimeter wave radar and the image acquisition device and receives scanning information output by the millimeter wave radar and image information output by the image acquisition device.
As shown in fig. 1, the area monitoring method may include the steps of:
step S101, acquiring scanning information output by a millimeter wave radar scanning monitored area;
in the embodiment of the present invention, in order to enable the millimeter wave radar to scan the monitored area, the scanning area of the millimeter wave radar should cover the monitored area.
In the embodiment of the invention, the millimeter wave radar can internally comprise an ADC (analog-to-digital converter) and a DSP (digital signal processor), the ADC converts an analog signal output by the millimeter wave radar after scanning into a digital signal, and the DSP realizes tracking and positioning of an intruding object by utilizing a Kalman filtering algorithm according to the digital signal to obtain scanning information.
Step S102, determining gait characteristics of an intrusion object in the monitored area based on the scanning information;
in the embodiment of the invention, the gait characteristics can refer to stride, step frequency, left foot stepping torsion angle and/or right foot stepping torsion angle and the like.
In this step, as shown in fig. 2, the scanning information corresponding to each radar frame signal may be respectively input into a preset convolutional neural network model, and feature extraction is performed by using the convolutional neural network model to obtain the gait feature.
Step S103, determining whether the intrusion object is a forbidden object in the monitored area according to the gait characteristics;
in this step, as shown in fig. 3, step S103 may include:
step S201, inputting the gait characteristics into a preset classification model, and carrying out gait classification on the intrusion object;
in the embodiment of the invention, in the acquisition of the millimeter wave radar frame signal, the current frame is not only influenced by the previous frame, but the latter frame is also related to the current frame, so that the bidirectional relationship is strengthened by adopting a bidirectional long-time and short-time memory neural network (BilSTM) so as to process the current frame and consider the next frame. Therefore, the classification model is a bidirectional long-short time memory network, and the bidirectional long-short time memory network comprises a forward long-short time memory network and a backward long-short time memory network.
As shown in fig. 2, gait features obtained according to each radar frame signal are respectively input to the forward direction long-short time memory network and the backward direction long-short time memory network, so that the influence of the previous frame on the next frame is taken into consideration, and the classification accuracy is improved.
The output of the long and short term memory network can be expressed as:
L＝Softmax(Ot)
in the formula (I), the compound is shown in the specification,
representing a sequence from x1To xTTime-forward LSTM output, Ot bRepresenting a sequence from xTTo x1Time-backward LSTM outputs, α and β respectively represent forward LSTM importance factors and backward LSTM importance factors, α + β is 1, and L represents the classification result output by the Softmax classification layer.
Step S202, determining whether the classification result is different from the classification category of the object allowed to enter;
in the embodiment of the present invention, the access permission target may refer to a person permitted to enter a monitored area stored in advance, for example, if the monitored area is a residential area, the access permission target is an owner in the residential area; for another example, if the monitored area is a work area of a certain facility, a worker whose object is the facility is permitted to enter, and so on.
Step S203, if the classification result is different from the classification type of the permitted entry object, determining that the entry target is a prohibited entry target of the monitored area.
Step S204, if the classification result is the same as the classification category of the permitted entry object, determining that the intrusion object is the permitted entry object of the monitored area.
And step S104, if the intrusion object is an entrance prohibition object, giving an alarm.
According to the embodiment of the invention, if the intrusion object is the forbidden entry object, the snapshot image of the intrusion object can be acquired by using the image acquisition device so as to keep the evidence. When the entering object is forbidden to illegally enter the monitored area, the automatic snapshot evidence obtaining is realized, and the subsequent manual tracing processing is facilitated.
Before capturing a snapshot of the intruding object with the image capturing device, the method may further comprise the steps of:
judging whether the current moment is within a preset enough illumination time period;
in the embodiment of the present invention, the preset sufficient illumination time period may be preconfigured by the staff according to the geographical location of the monitored area on the earth, seasonal illumination information, and other information, for example, in summer of beijing in china, the preset sufficient illumination time period is 4: 00-19: 00, etc., which can be set according to the actual situation, and the invention is not limited.
If the current moment is within the preset sufficient illumination time period, a step of acquiring a snapshot image of the intrusion object by using an image acquisition device is executed;
and if the current moment is not within the preset enough illumination time period, triggering the lighting device, and executing the step of acquiring the snapshot image of the intrusion object by using the image acquisition device.
According to the embodiment of the invention, the snapshot image of the intrusion object can be automatically acquired in the time period with sufficient illumination, and the snapshot image of the intrusion object is acquired after the illumination device is triggered in the time period with insufficient illumination, so that the definition of the acquired snapshot image can be improved, and the snapshot image can be conveniently used as an evidence in the follow-up process.
In addition, if the intrusion object is an object to be permitted to enter, the intrusion object is permitted to enter the monitored area.
According to the embodiment of the invention, the scanning information output by the millimeter wave radar scanning monitored area is acquired, the gait feature of the intrusion object in the monitored area is determined based on the scanning information, whether the intrusion object is the prohibited object of the monitored area is determined according to the gait feature, and finally, an alarm can be given out if the intrusion object is the prohibited object.
The embodiment of the invention can determine whether the intrusion object is the forbidden entry object or not according to the gait characteristics of the intrusion object, and can send out an alarm when determining that the intrusion object is the forbidden entry object, so that the responsible personnel in the monitored area can arrive at the scene as soon as possible to avoid illegal intrusion of the forbidden entry object, or even if the forbidden entry object is finished, as the responsible personnel can arrive at the scene as soon as possible, the forbidden entry object can be rapidly expelled to leave, thereby ensuring the safety of the monitored area and avoiding the loss of lives and properties.
In still another embodiment of the present invention, there is also provided an area monitoring apparatus, as shown in fig. 4, including:
the information acquisition module 11 is configured to acquire scanning information output by the millimeter wave radar scanning the monitored area;
a feature determination module 12, configured to determine gait features of an intrusion object in the monitored area based on the scanning information;
an object determining module 13, configured to determine whether the intrusion object is an entry prohibition object of the monitored area according to the gait characteristics;
and the alarm module 14 is used for sending out an alarm if the intrusion object is an object prohibited from entering.
According to the embodiment of the invention, the scanning information output by the millimeter wave radar scanning monitored area is acquired, the gait feature of the intrusion object in the monitored area is determined based on the scanning information, whether the intrusion object is the prohibited object of the monitored area is determined according to the gait feature, and finally, an alarm can be given out if the intrusion object is the prohibited object.
The embodiment of the invention can determine whether the intrusion object is the forbidden entry object or not according to the gait characteristics of the intrusion object, and can send out an alarm when determining that the intrusion object is the forbidden entry object, so that the responsible personnel in the monitored area can arrive at the scene as soon as possible to avoid illegal intrusion of the forbidden entry object, or even if the forbidden entry object is finished, as the responsible personnel can arrive at the scene as soon as possible, the forbidden entry object can be rapidly expelled to leave, thereby ensuring the safety of the monitored area and avoiding the loss of lives and properties.
In another embodiment of the present invention, the characteristic determining module 12 is further configured to:
inputting the scanning information into a preset convolutional neural network model, and extracting features by using the convolutional neural network model to obtain the gait features.
In another embodiment of the present invention, the object determining module 13 includes:
the input unit is used for inputting the gait characteristics into a preset classification model and classifying the gait of the intrusion object;
a judging unit for determining whether the classification result is different from the classification category of the access-allowed object;
and a determining unit configured to determine that the intrusion object is a prohibited entry object of the monitored area if the classification result is different from the classification type of the permitted entry object.
In another embodiment of the present invention, the classification model is a bidirectional long-short term memory network, and the bidirectional long-short term memory network includes a forward long-short term memory network and a backward long-short term memory network.
In another embodiment of the present invention, the output of the long-time memory network may be represented as:
L＝Softmax(Ot)
in the formula (I), the compound is shown in the specification,
representing a sequence from x1To xTTime-forward LSTM output, Ot bRepresenting a sequence from xTTo x1Time-backward LSTM outputs, α and β represent forward LSTM importance factors and backward LSTM importance factors, respectively, α + β is 1, and L represents the classification result of the output.
In yet another embodiment of the present invention, the apparatus further comprises:
the judging unit is used for judging whether the current moment is within a preset enough illumination time period;
the first execution unit is used for executing the step of acquiring the snapshot image of the intrusion object by using the image acquisition device if the current moment is within the preset sufficient illumination time period;
and the second execution unit is used for triggering the lighting device if the current moment is not within the preset enough illumination time period, and executing the step of acquiring the snapshot image of the intrusion object by using the image acquisition device.
In yet another embodiment of the present invention, the apparatus further comprises:
and the access allowing module is used for permanently allowing the access object to enter the monitored area if the access object is the access allowing object.
In another embodiment of the present invention, an electronic device is further provided, which includes a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus;
a memory for storing a computer program;
and the processor is used for realizing the steps of the method in the embodiment of the method when executing the program stored in the memory.
According to the electronic device provided by the embodiment of the invention, the processor executes the program stored in the memory to realize the acquisition of the scanning information output by the millimeter wave radar scanning monitored area; determining gait characteristics of an intruding object in the monitored area based on the scanning information; determining whether the intrusion object is a forbidden access object of the monitored area according to the gait characteristics; if the intrusion object is the prohibited entry object, an alarm is sent out, whether the intrusion object is the prohibited entry object or not is determined according to gait characteristics of the intrusion object, when the intrusion object is determined to be the prohibited entry object, whether the intrusion object is the prohibited entry object or not is determined, and when the intrusion object is determined to be the prohibited entry object, the alarm can be sent out, so that a person in charge in a monitored area can arrive at the scene as soon as possible, illegal intrusion of the prohibited entry object is avoided, or even if the prohibited entry object is finished, the person in charge can arrive at the scene as soon as possible, the prohibited entry object can be quickly expelled to leave, the safety of the monitored area is further guaranteed, and life and property loss is avoided.
The communication bus 1140 mentioned in the above electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 1140 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 5, but this is not intended to represent only one bus or type of bus.
The communication interface 1120 is used for communication between the electronic device and other devices.
The memory 1130 may include a Random Access Memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The processor 1110 may be a general-purpose processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the integrated circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the invention are brought about in whole or in part when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (ssd)), among others.
In yet another embodiment of the present invention, there is also provided a computer readable medium having non-volatile program code executable by a processor, the program code causing the processor to perform the method of the method embodiment.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of regional monitoring, the method comprising:
acquiring scanning information output by a millimeter wave radar scanning monitored area;
determining gait characteristics of an intruding object in the monitored area based on the scanning information;
determining whether the intrusion object is a forbidden access object of the monitored area according to the gait characteristics;
and if the intrusion object is the object prohibited from entering, giving an alarm.
2. The area monitoring method of claim 1, wherein determining gait characteristics of an intruding object in the monitored area based on the scanning information comprises:
inputting the scanning information into a preset convolutional neural network model, and extracting features by using the convolutional neural network model to obtain the gait features.
3. The area monitoring method according to claim 1, wherein determining whether the intrusion object is a prohibited-entry object of the monitored area based on the gait characteristics includes:
inputting the gait characteristics into a preset classification model, and carrying out gait classification on the intrusion object;
determining whether the classification result is different from a classification category allowed to enter the object;
and if the classification result is different from the classification type of the access-permitted object, determining that the access-permitted object is an access-prohibited object of the monitored area.
4. The regional monitoring method of claim 3, wherein the classification model is a bidirectional long-and-short memory network, and the bidirectional long-and-short memory network comprises a forward long-and-short memory network and a backward long-and-short memory network.
5. The area monitoring method according to claim 4, wherein the output of the long and short term memory network can be expressed as:
L＝Softmax(Ot)
in the formula (I), the compound is shown in the specification,
representing a sequence from x1To xTThe time-forward direction is output to the LSTM,
representing a sequence from xTTo x1Time-backward LSTM outputs, α and β represent forward LSTM importance factors and backward LSTM importance factors, respectively, α + β is 1, and L represents the classification result of the output.
6. The area monitoring method of claim 1, further comprising:
judging whether the current moment is within a preset enough illumination time period;
if the current moment is within the preset sufficient illumination time period, a step of acquiring a snapshot image of the intrusion object by using an image acquisition device is executed;
and if the current moment is not within the preset enough illumination time period, triggering the lighting device, and executing the step of acquiring the snapshot image of the intrusion object by using the image acquisition device.
7. The area monitoring method of claim 1, further comprising:
if the intrusion object is a forbidden object, acquiring a snapshot image of the intrusion object by using an image acquisition device;
and if the intrusion object is an object allowed to enter, allowing the intrusion object to enter the monitored area.
8. An area monitoring device, comprising:
the information acquisition module is used for acquiring scanning information output by the millimeter wave radar scanning monitored area;
the characteristic determination module is used for determining the gait characteristics of the intrusion object in the monitored area based on the scanning information;
the object determining module is used for determining whether the intrusion object is a forbidden entry object in the monitored area according to the gait characteristics;
and the alarm module is used for sending out an alarm if the intrusion object is a forbidden access object.
9. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the steps of the method of any one of claims 1 to 7 when executing a program stored in the memory.
10. A computer-readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform the method of any of claims 1 to 7.
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| CN201911008580.8A CN110895860A (en) | 2019-10-22 | 2019-10-22 | Region monitoring method and device, electronic equipment and storage medium |
| PCT/CN2020/112931 WO2021077907A1 (en) | 2019-10-22 | 2020-09-02 | Area monitoring method and apparatus, electronic device, and storage medium |
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| CN201911008580.8A CN110895860A (en) | 2019-10-22 | 2019-10-22 | Region monitoring method and device, electronic equipment and storage medium |
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| CN112017345A (en) * | 2020-08-21 | 2020-12-01 | 中建二局第一建筑工程有限公司 | Intelligent access control security method, device and system and storage medium |
| WO2021077907A1 (en) * | 2019-10-22 | 2021-04-29 | 珠海格力电器股份有限公司 | Area monitoring method and apparatus, electronic device, and storage medium |
| CN113720862A (en) * | 2021-08-17 | 2021-11-30 | 珠海格力电器股份有限公司 | Part abnormality detection method, device, equipment and storage medium |
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| CN117872360B (en) * | 2024-03-13 | 2024-05-10 | 成都云豆工业设计有限公司 | Target attribute judging method, system and storage medium based on radar waveform feedback |
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| CN110895860A (en) * | 2019-10-22 | 2020-03-20 | 珠海格力电器股份有限公司 | Region monitoring method and device, electronic equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2021077907A1 (en) * | 2019-10-22 | 2021-04-29 | 珠海格力电器股份有限公司 | Area monitoring method and apparatus, electronic device, and storage medium |
| CN112017345A (en) * | 2020-08-21 | 2020-12-01 | 中建二局第一建筑工程有限公司 | Intelligent access control security method, device and system and storage medium |
| CN113720862A (en) * | 2021-08-17 | 2021-11-30 | 珠海格力电器股份有限公司 | Part abnormality detection method, device, equipment and storage medium |
| CN113720862B (en) * | 2021-08-17 | 2023-01-13 | 珠海格力电器股份有限公司 | Part abnormality detection method, device, equipment and storage medium |
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| WO2021077907A1 (en) | 2021-04-29 |
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