Camera wake-up method, monitoring system, electronic device and storage medium

Abstract

The present application relates to a camera wake-up method, a monitoring system, an electronic device and a storage medium, wherein the camera wake-up method comprises: when the infrared detection module is in a normal working state and detects the presence of a detection target in a preset detection area, waking up the wireless sensing module to perform target detection; when the wireless sensing module determines that the detection target appears in the detection area, waking up the camera to perform target recognition; when the wireless sensing module determines that there is no detection target in the detection area, counting the false wake-up information of the infrared detection module to obtain a first statistical result; when the first statistical result meets the preset abnormal condition, confirming that the infrared detection module is in an abnormal working state. It can reduce the overall power consumption of the monitoring system while maintaining a high detection accuracy. At the same time, it can also timely identify the abnormal working state of the infrared detection module.

Description

Technical Field

[0001] The present application relates to the field of video surveillance, and in particular to a camera wake-up method, a monitoring system, an electronic device and a storage medium. Background Art

[0002] For video surveillance products, in order to achieve low power consumption of the camera, an additional infrared sensor with lower power consumption is often set up. In a monitoring system combined with an infrared sensor, the camera can maintain low power consumption, while the infrared sensor always has the detection function turned on. When the infrared sensor detects human activity, the camera is awakened to start the image recognition algorithm for target recognition.

[0003] Since the recognition accuracy of infrared sensors is not high and there is a high false alarm rate, high-power modules such as video monitoring and recognition algorithms will be frequently mistakenly started, resulting in an increase in the overall power consumption of the monitoring system.

[0004] With regard to the problem of high overall power consumption of the monitoring system in related technologies, no effective solution has been proposed so far. Summary of the invention

[0005] In this embodiment, a camera wake-up method, a monitoring system, an electronic device and a storage medium are provided to solve the problem of high overall power consumption of the monitoring system in the related art.

[0006] In a first aspect, a camera wake-up method is provided in this embodiment, which is used in a monitoring system, wherein the monitoring system includes an infrared detection module, a wireless sensing module, and a camera; wherein the method includes:

[0007] When the infrared detection module is in a normal working state and detects that a detection target appears in a preset detection area, the wireless sensing module is awakened to perform target detection;

[0008] When the wireless sensing module determines that the detection target appears in the detection area, waking up the camera to perform target recognition;

[0009] When the wireless sensing module determines that the detection target does not exist in the detection area, counting the false wake-up information of the infrared detection module to obtain a first statistical result;

[0010] When the first statistical result meets the preset abnormal condition, it is confirmed that the infrared detection module is in an abnormal working state.

[0011] In some embodiments, when the infrared detection module detects a detection target in a preset detection area under normal working conditions, waking up the wireless sensing module to perform target detection includes:

[0012] When the infrared detection module is in normal working state and detects the presence of a detection target in a preset detection area, the wireless sensing module is awakened to complete target detection based on the reception of a complete sensing packet in combination with a preset sensing detection algorithm.

[0013] In some embodiments, when the wireless sensing module determines that the detection target does not exist in the detection area, the false wake-up information of the infrared detection module is counted to obtain a first statistical result, including:

[0014] When the wireless sensing module determines that the detection target does not exist in the detection area, the number of false awakenings of the infrared detection module is accumulated, and the false awakening frequency of the infrared detection module is determined according to the accumulated current number of false awakenings to obtain the first statistical result;

[0015] When the false wake-up frequency is higher than a preset frequency threshold, it is determined that the first statistical result meets the preset abnormal condition.

[0016] In some of the embodiments, the frequency threshold is determined based on a real value of the number of occurrences of the detection target in the detection area within a preset time period.

[0017] In some embodiments, the method further comprises:

[0018] When the infrared detection module detects the presence of the detection target in the preset detection area in the abnormal working state, the wireless sensing module is awakened to perform fluctuation analysis based on the intermittently collected channel background state data to obtain a fluctuation analysis result;

[0019] When the fluctuation analysis result indicates that a detection target appears in the detection area, the wireless sensing module completes the target detection based on the reception of the complete sensing packet and combines the preset sensing detection algorithm process to obtain a complete detection result;

[0020] When the complete detection result indicates that the detection target exists in the detection area, the camera is awakened.

[0021] In some embodiments, the method further comprises:

[0022] According to the fluctuation analysis result or the complete detection result, statistics are collected on the target detection information of the infrared detection module in the abnormal working state to obtain a second statistical result;

[0023] When the second statistical result meets the preset stability condition, it is confirmed that the infrared detection module is in a normal working state.

[0024] In some embodiments, the method further comprises:

[0025] When the second statistical result does not meet the preset stability condition, the infrared detection module is restarted.

[0026] In a second aspect, a monitoring system is provided in this embodiment, including: an infrared detection module, a wireless sensing module, a camera and a control module; wherein the infrared detection module, the wireless sensing module and the camera are all connected to the control module for communication;

[0027] The infrared detection module is used to perform infrared detection on a preset detection area;

[0028] The wireless sensing module is used to perform wireless detection on the detection area;

[0029] The camera is used to perform target recognition in the detection area;

[0030] The control module is used to execute the camera wake-up method described in the first aspect above.

[0031] In a third aspect, an electronic device is provided in this embodiment, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the camera wake-up method described in the first aspect when executing the computer program.

[0032] In a fourth aspect, a storage medium is provided in this embodiment, on which a computer program is stored, and when the program is executed by a processor, the camera wake-up method described in the first aspect is implemented.

[0033] Compared with the related art, the present embodiment provides a camera wake-up method, a monitoring system, an electronic device and a storage medium. The camera wake-up method, when the infrared detection module is in a normal working state and detects the presence of a detection target in a preset detection area, wakes up the wireless sensing module to perform target detection; when the wireless sensing module determines that the detection target appears in the detection area, wakes up the camera to perform target recognition; when the wireless sensing module determines that there is no detection target in the detection area, the false wake-up information of the infrared detection module is counted to obtain a first statistical result; when the first statistical result meets the preset abnormal condition, it is confirmed that the infrared detection module is in an abnormal working state. It can avoid false wake-up of the camera and achieve a balance between power consumption and detection accuracy, thereby reducing the overall power consumption of the monitoring system while maintaining a high detection accuracy. At the same time, the present embodiment can also realize accurate detection of the working state of the infrared detection module and timely identify the abnormal working state of the infrared detection module.

[0034] Details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0036] Figure 1 It is a hardware structure block diagram of a terminal of the camera wake-up method of an embodiment of the present application;

[0037] Figure 2 is a flow chart of a camera wake-up method according to an embodiment of the present application;

[0038] Figure 3 is a flowchart of a camera wake-up method in some embodiments of the present application;

[0039] Figure 4 is a flowchart of a camera wake-up method according to some other embodiments of the present application;

[0040] Figure 5 Schematic diagram of the structure of the monitoring system of this embodiment. DETAILED DESCRIPTION

[0041] In order to more clearly understand the purpose, technical solutions and advantages of the present application, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments.

[0042] Unless otherwise defined, the technical terms or scientific terms involved in this application shall have the general meaning understood by people with general skills in the technical field to which this application belongs. The words "one", "a", "the", "these" and the like in this application do not indicate a quantitative limitation, and they may be singular or plural. The terms "include", "comprise", "have" and any variants thereof involved in this application are intended to cover non-exclusive inclusions; for example, a process, method and system, product or device comprising a series of steps or modules (units) is not limited to the listed steps or modules (units), but may include unlisted steps or modules (units), or may include other steps or modules (units) inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" may mean: A exists alone, A and B exist at the same time, and B exists alone. Generally, the character " / " indicates that the objects associated with each other are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0043] The method embodiment provided in this embodiment can be executed in a terminal, a computer or a similar computing device. For example, running on a terminal, Figure 1 FIG. 1 is a hardware structure diagram of a terminal of the camera wake-up method of this embodiment. Figure 1 As shown, the terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 and a memory 104 for storing data, wherein the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA. The above terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0044] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the camera wake-up method in this embodiment. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0045] The transmission device 106 is used to receive or send data via a network. The above network includes a wireless network provided by a communication provider of the terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0046] In this embodiment, a camera wake-up method is provided for a monitoring system, wherein the monitoring system includes an infrared detection module, a wireless sensing module, and a camera; Figure 2 is a flow chart of the camera wake-up method of this embodiment, such as Figure 2 As shown, the process includes the following steps:

[0047] Step S210, when the infrared detection module is in a normal working state and detects that a detection target appears in a preset detection area, the wireless sensing module is awakened to perform target detection.

[0048] Among them, an infrared detection module and a wireless sensing module can be added to the monitoring system. The infrared detection module uses non-contact sensor technology, specifically a pyroelectric (PIR) infrared sensor, to detect infrared radiation emitted by the human body to determine whether there is human activity in the detection area, thereby realizing target detection. Wireless sensing technology uses wireless signals (such as WiFi, Bluetooth, etc.) to detect the surrounding environment. Wireless sensing technology is mainly based on the scattering, reflection, diffraction and attenuation characteristics of wireless signals. When the transmitter transmits the wireless signal into space, before it reaches the receiver, on the electromagnetic wave propagation path, if there is a person or activity, the human body affects the electromagnetic wave transmission, causing its signal state to change, that is, the wireless channel state changes. Based on this, the current channel state information (CSI) data features can be obtained through the received wireless signal to reflect whether there is a person in the detected area or there is corresponding activity.

[0049] In terms of the power consumption generated by target detection, the power consumption of the PIR infrared detection module will be lower than that of the wireless sensing module, and the wireless sensing module will be lower than the video recording module and target recognition module of the camera; in terms of target detection accuracy, the accuracy of the PIR infrared detection module will be lower than that of the wireless sensing module. In addition, from the detection perspective, the detection angle of the PIR infrared detection module is also smaller than that of the wireless sensing module, where the wireless sensing module can achieve 360-degree omnidirectional monitoring. For the wireless sensing module, it is necessary to collect and analyze the wireless channel status information multiple times to perceive changes in the signal propagation environment, thereby determining the presence of the detection target.

[0050] In this step, the differences in the above-mentioned working power consumption and accuracy between the infrared detection module and the wireless sensing module are taken into consideration. When the infrared detection module is in a normal working state, the wireless sensing module is operated with low power consumption. When the infrared detection module detects the presence of a detection target in the preset detection area under normal working conditions, the wireless sensing module is awakened to further verify whether the detection target appears in the detection area. On the one hand, the wireless sensing module can be made to further verify the detection result of the infrared detection module to make up for the deficiency of the infrared detection module in detection accuracy, so as to avoid false triggering caused by the infrared detection module directly awakening the camera; on the other hand, the infrared detection module with lower power consumption can be kept open, while the wireless sensing module is operated with low power consumption, thereby reducing the overall power consumption.

[0051] Step S220, when the wireless sensing module determines that a detection target appears in the detection area, the camera is awakened to perform target recognition.

[0052] That is, when the wireless sensing module also determines that the detection target appears in the detection area, the process of waking up the camera for specific target identification can be entered. The wireless sensing module can collect channel state information based on two modes. The first mode is a single-device self-transmitting and receiving mode, and the second mode is a dual-device mode. In the first mode, after the wireless sensing module sends a wireless packet, it is reflected back to its own antenna by the external environment and analyzed after reception. Specifically, by analyzing the difference between multiple echoes before and after, it is determined whether the environment has changed, so as to determine whether there is human activity. In the second mode, a pair of wireless devices can be set. Target detection is performed by receiving wireless packets from the opposite device. Specifically, the wireless sensing module sends a data packet to a wireless device in the vicinity, then receives the wireless packet sent by the other party, and extracts CSI channel information from it. By analyzing the information of multiple CSI channels before and after, it is determined whether there is human activity. The perception ability of a certain area can also be enhanced by adjusting the orientation of the opposite device.

[0053] The wireless sensing module can also send Internet Control Message Protocol (ICMP) to surrounding wireless devices to make them send packets, so it can work with any wireless device. The wireless sensing module can be paired with a matching device. When the wireless sensing module sends a specific data packet to this matching wireless device, this wireless device will automatically send multiple wireless packets. The wireless sensing module only needs to receive the wireless packet and then analyze and judge it, without continuously sending packets, thereby reducing the number of transmissions of the sensing module and reducing power consumption.

[0054] Compared with the infrared detection module, the wireless sensing module can achieve 360-degree omnidirectional detection, thereby making up for the problem of limited detection angle of the infrared detection module. Even if a person enters the detection area from different angles, accurate detection can be achieved, thereby waking up the camera in time to capture the intrusion process. When the detection area needs to be adjusted, the detection range of the wireless sensing module can be adjusted by adjusting the sensing antenna of the wireless sensing module. It can also be understood that the target recognition of the camera can be achieved by any image recognition technology in the field of image processing, and this embodiment does not specifically limit this.

[0055] Step S230: When the wireless sensing module determines that there is no detection target in the detection area, statistics are collected on the false awakening information of the infrared detection module to obtain a first statistical result.

[0056] Step S240: when the first statistical result meets the preset abnormal condition, confirm that the infrared detection module is in an abnormal working state.

[0057] Considering that the working state of the infrared detection module is unstable, the detection result of the infrared detection module can be verified based on the wireless sensing module with higher detection accuracy to determine whether the infrared detection module has an abnormality. Among them, when the infrared detection module determines that a detection target appears in the detection area, and after verification by the wireless sensing module, it is determined that there is no detection target in the detection area, the false wake-up information of the infrared detection module can be counted to obtain a first statistical result. When the first statistical result within the preset time period meets the preset abnormal condition, it can be determined that the infrared detection module is in an abnormal working state.

[0058] Therefore, by introducing a wireless sensing module to work in collaboration with the infrared detection module, it is possible to achieve a balance between detection accuracy and working power consumption, and further identify the abnormality of the infrared detection module based on the detection of the wireless sensing module, thereby timely identifying the abnormal working state of the infrared detection module for subsequent adjustments, and avoiding false wake-up of the camera caused by the abnormal working state of the infrared detection module.

[0059] Among them, the normal working state of the above-mentioned infrared detection module can be the state of normal operation of the infrared detection module without any abnormality; the abnormal working state of the infrared detection module is the state of false alarm caused by the operation abnormality of the infrared detection module due to external factors or the internal state of the device.

[0060] In the related art, infrared sensors are often introduced into the monitoring system as a pre-detection module before the camera wakes up, so that the camera can maintain low power consumption before waking up, and the infrared sensor always turns on the detection function. Since the working state of the infrared sensor is unstable, the recognition accuracy is not high, and there is a high false alarm rate, it will frequently mistakenly start high-power modules such as video monitoring and recognition algorithms, resulting in an increase in the overall power consumption of the monitoring system.

[0061] Different from the above-mentioned related technologies, this embodiment, through the above-mentioned steps S210 to S240, when the infrared detection module is in a normal working state and detects the presence of a detection target in a preset detection area, wakes up the wireless sensing module to perform target detection; when the wireless sensing module determines that a detection target appears in the detection area, wakes up the camera to identify the target; when the wireless sensing module determines that there is no detection target in the detection area, the false awakening information of the infrared detection module is counted to obtain a first statistical result; when the first statistical result meets the preset abnormal condition, it is confirmed that the infrared detection module is in an abnormal working state. It can avoid false awakening of the camera and achieve a balance between power consumption and detection accuracy, thereby reducing the overall power consumption of the monitoring system while maintaining a high detection accuracy. At the same time, this embodiment can also realize accurate detection of the working state of the infrared detection module and timely identify the abnormal working state of the infrared detection module.

[0062] In one embodiment, when the infrared detection module is in a normal working state and detects that a detection target appears in a preset detection area, waking up the wireless sensing module to perform target detection may also include:

[0063] When the infrared detection module is in normal working state and detects the presence of a detection target in the preset detection area, the wireless sensing module is awakened to complete the target detection based on the reception of the complete sensing packet and the preset sensing detection algorithm.

[0064] Since the probability of accurate detection of the infrared detection module is high under normal working conditions, when the infrared detection module detects the detection target under normal working conditions, the wireless perception module can be awakened to run the complete perception detection process at full speed to further verify whether the detection target actually appears in the detection area. Specifically, the wireless perception module can receive a complete perception packet (for example, more than 10 perception packets) and run a complete perception detection algorithm, including data preprocessing, data analysis, and detection result determination. Exemplarily, at this time, the packet receiving frequency of the wireless perception module can be 5 to 100 packets per second, and the detection time can be 0.3 seconds to 3 seconds. When the wireless perception module determines that the detection target does exist in the detection area, it wakes up the camera to run high-power modules such as video recording and target recognition, thereby reducing the occasional misidentification of the infrared detection module and causing the camera to wake up incorrectly, thereby reducing the overall power consumption of the monitoring system.

[0065] In addition, when the infrared detection module determines that there is a detection target in the detection area under normal working conditions, the reliability and accuracy of further verification results can be improved by waking up the wireless sensing module to fully execute the sensing detection process.

[0066] Additionally, in one embodiment, when the wireless sensing module determines that there is no detection target in the detection area, the false wake-up information of the infrared detection module is counted to obtain the first statistical result, which may include:

[0067] When the wireless sensing module determines that there is no detection target in the detection area, the number of false wake-up times of the infrared detection module is accumulated, and the false wake-up frequency of the infrared detection module is determined based on the accumulated current number of false wake-up times to obtain a first statistical result; when the false wake-up frequency is higher than a preset frequency threshold, it is determined that the first statistical result meets the preset abnormal condition.

[0068] Specifically, the working state of the infrared detection module can be judged by the false wake-up frequency. Whenever the infrared detection module is determined to have been misidentified based on the wireless sensing detection module, the number of false wake-ups is recorded accordingly. The number of false wake-ups within the preset time period Tp is accumulated to obtain a cumulative value Np, and then the false wake-up frequency P=Np / Tp is calculated. Afterwards, it is determined whether the false wake-up frequency is higher than the preset frequency threshold Pj. If so, it is determined that the first statistical result meets the preset abnormal condition, and it is determined that the infrared detection module is in an abnormal working state. This embodiment can accurately determine the working state of the infrared detection module by counting the number and frequency of false wake-ups.

[0069] In particular, in one embodiment, the frequency threshold is determined based on the true value of the number of times the detection target appears in the detection area within a preset period of time. The above frequency threshold can be dynamically adjusted according to the actual on-site environment. For example, the cumulative number of times a real person appears in the previous few minutes (such as 30 minutes) can be counted, that is, the true value of the number of times the detection target appears in the detection area. Then, the frequency threshold is set according to the true value. Assuming that the true value is Nm, the frequency threshold can be Pj=(Nm+2) times / 30 minutes. By dynamically adjusting the frequency threshold by accumulating the true value of the number of times the detection target appears in the actual application scenario, a more accurate judgment of the working status of the infrared detection module can be achieved.

[0070] In one embodiment, the camera wake-up method may further include:

[0071] When the infrared detection module is in an abnormal working state and detects the presence of a detection target in the preset detection area, the wireless perception module is awakened to perform fluctuation analysis based on the intermittently collected channel background status data to obtain a fluctuation analysis result; when the fluctuation analysis result indicates that the detection target appears in the detection area, the wireless perception module completes the target detection based on the reception of the complete perception packet and combines the preset perception detection algorithm process to obtain a complete detection result; when the complete detection result indicates that the detection target exists in the detection area, the camera is awakened.

[0072] When it is determined that the infrared detection module is already in an abnormal working state, and the infrared detection module determines that a detection target appears in the detection area under the abnormal working state, the wireless sensing module is awakened to determine whether there is a detection target in the detection area based on the intermittently collected channel background state data. Among them, the wireless sensing module will perform short-term target detection work at an interval of T1. Specifically, it can be: the wireless sensing module collects channel background state information once every interval T1. The above time T1 can be set to between 0.3 seconds and 3 seconds. Combined with the channel background state data collected for the previous n times, after data preprocessing to eliminate interference, the modulus length of the CSI data is subjected to fluctuation analysis to determine whether the current fluctuation is greater than the preset threshold value M1. Since the channel state acquisition is intermittent, it is impossible to extract frequency domain features for analysis, and the collected data is small, and the number of acquisitions is no more than 15 times, so the traditional perception algorithm cannot run effectively. Therefore, it is possible to judge whether a detection target appears in the detection area based on fluctuation analysis combined with the threshold value.

[0073] When performing fluctuation analysis, time domain change analysis and subcarrier correlation analysis can be included. Based on the time domain change analysis and subcarrier correlation analysis, the fluctuation analysis result B=Bt+α×ΔGb can be obtained. Among them: Bt is the time domain fluctuation analysis result of CSI, which can be specifically calculated variance, mean difference, etc.; ΔGb is the change of correlation between subcarriers; α is the coefficient for adjusting the weight ratio of the analysis results in two directions.

[0074] When the fluctuation analysis result B is greater than the threshold value M1, it is determined that there may be a detection target (someone is present), and the subsequent complete perception detection process is initiated.

[0075] When executing the complete perception detection process, the channel status information can be collected m times, and then combined with the channel status information obtained n times before, to form an analysis data packet, which is sent to the preset perception algorithm model of the wireless signal for complete perception judgment to determine whether there is a person. Exemplarily, at this time, the packet receiving frequency can be set to 5 to 100 packets per second, and the detection time can be set to 0.5 seconds to 3 seconds; the total number of collection times (m+n) can be set to: 15 times to 40 times. In general, technicians in this field can appropriately adjust the frequency and detection time of wireless packets according to power consumption and detection accuracy requirements; higher packet receiving frequency and longer detection time can achieve higher detection accuracy; in particular, the packet receiving frequency can be no less than 10 times per second. When the complete perception algorithm is executed and it is determined that the detection target appears, the camera is woken up.

[0076] In this embodiment, based on the combination of the infrared detection module and the wireless sensing module, the detection process of the wireless sensing module is adjusted accordingly according to the working state of the infrared detection module: when the infrared detection module is in a normal working state, the wireless sensing module realizes target detection based on the complete sensing detection process; when the infrared detection module is in an abnormal working state, the wireless sensing module first completes target detection based on the indirectly collected wireless packets, and then completes target detection based on the complete sensing detection process. By using a suitable detection method for the wireless sensing module based on the current working state of the infrared detection module, the optimization of detection accuracy, power consumption, and monitoring delay can be achieved.

[0077] In some of the embodiments, when it is determined that the infrared detection module is in an abnormal working state, the wireless perception module can be adjusted to a state where the target detection function is turned on at a scheduled time. Exemplarily, when the infrared detection module is in an abnormal working state, the wireless perception module can be made to perform target detection once every interval T2. When the target detection is turned on at a scheduled time, the above embodiments can also be referred to, and fluctuation analysis can be performed based on intermittently collected channel background state data, and a complete perception detection algorithm process can be completed based on the reception of a complete perception package to achieve target detection. Based on this, when the infrared detection module is unstable, the wireless perception module can be made to take over the detection function of the infrared detection module.

[0078] In one embodiment, the camera wake-up method may further include:

[0079] According to the fluctuation analysis result or the complete detection result, the target detection information of the infrared detection module in the abnormal working state is counted to obtain a second statistical result; when the second statistical result meets the preset stability condition, it is confirmed that the infrared detection module is in a normal working state.

[0080] When the fluctuation analysis results indicate that the detection target does not appear in the detection area, or when the fluctuation analysis results determine that the detection target appears in the detection area, and then the detection is completed using the complete wireless sensing process (the detection target appears or does not appear), the stability of the infrared detection module is analyzed according to the detection results. For example, the number of correct detections and the number of false detections of the infrared detection module in an abnormal working state can be counted, and then the correct detection frequency and the false detection frequency of the infrared detection module in an abnormal working state within a preset period of time can be counted. When the correct detection frequency is higher than the preset correct frequency threshold, and the false detection frequency is lower than the preset false frequency threshold, it can be determined that the infrared detection module has resumed normal working state; or when the false detection frequency is higher than the preset false frequency threshold, it is determined that the infrared detection module needs to be restarted.

[0081] In this embodiment, based on the verification of the wireless sensing module, the state of the infrared detection module in an abnormal working state can be timely identified, which can help the infrared detection module to recover its working state as soon as possible.

[0082] Optionally, in one embodiment, the camera wake-up method may further include: restarting the infrared detection module when the second statistical result does not meet a preset stability condition.

[0083] Figure 3 is a flowchart of a camera wake-up method in some embodiments, such as Figure 3 As shown, the camera wake-up method includes the following steps:

[0084] Step S301, when the infrared detection module is in a normal working state and detects that a detection target appears in the detection area, the wireless sensing module is awakened.

[0085] Step S302, controlling the wireless sensing module to complete target detection with a complete sensing detection process.

[0086] Step S303, judging whether a detection target appears in the detection area according to the detection result of the wireless sensing module; if so, executing step S304; otherwise, executing step S305.

[0087] Step S304, wake up the camera; execute step S308.

[0088] Step S305, accumulating false wake-up information of the infrared detection module.

[0089] Step S306, judging whether the false awakening frequency is higher than a preset frequency domain threshold according to the accumulated result of the false awakening information; if so, executing step S307; otherwise, executing step S308.

[0090] Step S307, determining that the infrared detection module is in an abnormal working state.

[0091] Step S308, completing functions such as video monitoring based on the camera.

[0092] The above steps S301 to S308 can avoid false awakening of the camera, achieve a balance between power consumption and detection accuracy, and thus reduce the overall power consumption of the monitoring system while maintaining high detection accuracy. At the same time, this embodiment can also accurately detect the working state of the infrared detection module and promptly identify the abnormal working state of the infrared detection module.

[0093] Figure 4 is a flowchart of a camera wake-up method in some other embodiments, such as Figure 4 As shown, the camera wake-up method includes the following steps:

[0094] Step S401, when the infrared detection module detects the presence of a detection target in the detection area in an abnormal working state, or the wireless sensing module reaches the time to start wireless sensing detection, the wireless sensing module is triggered to perform fluctuation analysis based on the intermittently collected channel background status data to obtain the fluctuation analysis result.

[0095] Step S402, judging whether there is a detection target in the detection area according to the fluctuation analysis result; if so, executing step S403; otherwise, executing step S407.

[0096] Step S403, based on the reception of the complete perception packet, target detection is completed in combination with a preset perception detection algorithm process to obtain a complete detection result.

[0097] Step S404, judging whether a detection target appears in the detection area according to the complete detection result; if so, executing step S405, and executing step S407; otherwise, directly executing step S407.

[0098] Step S405, waking up the camera.

[0099] Step S406, completing functions such as video monitoring based on the camera.

[0100] Step S407, accumulating detection information of the infrared detection module in an abnormal working state.

[0101] Step S408, judging whether the infrared detection module meets the preset stability condition according to the accumulated result of step S407; if so, executing step S409; otherwise, executing step S410.

[0102] Step S409, confirming that the infrared detection module is in a normal working state.

[0103] Step S410, restarting the infrared detection module.

[0104] In this embodiment, a monitoring system is provided. Figure 5 FIG. 5 is a schematic diagram of the structure of the monitoring system 50 of this embodiment. Figure 5 As shown, the monitoring system 50 includes: an infrared detection module 52, a wireless sensing module 54, a camera 56 and a control module 58; wherein the infrared detection module 52, the wireless sensing module 54, and the camera 56 are all communicatively connected with the control module 58; the infrared detection module 52 is used to perform infrared detection on a preset detection area; the wireless sensing module 54 is used to perform wireless detection on the detection area; the camera 56 is used to identify targets in the detection area; and the control module 58 is used to execute the camera wake-up method provided in any of the above embodiments.

[0105] In this embodiment, an electronic device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0106] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0107] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0108] S1, when the infrared detection module is in normal working state and detects the presence of a detection target in the preset detection area, the wireless sensing module is awakened to perform target detection;

[0109] S2, when the wireless sensing module determines that a detection target appears in the detection area, the camera is awakened to perform target recognition;

[0110] S3, when the wireless sensing module determines that there is no detection target in the detection area, counting the false wake-up information of the infrared detection module to obtain a first statistical result;

[0111] S4, when the first statistical result meets the preset abnormal condition, confirm that the infrared detection module is in an abnormal working state.

[0112] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and will not be repeated in this embodiment.

[0113] In addition, in combination with the camera wake-up method provided in the above embodiments, a storage medium may be provided in this embodiment to implement the method. The storage medium stores a computer program; when the computer program is executed by a processor, any camera wake-up method in the above embodiments is implemented.

[0114] It should be understood that the specific embodiments described herein are only used to explain the application, rather than to limit it. Based on the embodiments provided in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the protection scope of this application.

[0115] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0116] Obviously, the drawings are only some examples or embodiments of the present application. For ordinary technicians in the field, the present application can also be applied to other similar situations based on these drawings without creative work. In addition, it is understandable that although the work done in this development process may be complicated and lengthy, for ordinary technicians in the field, certain changes in design, manufacturing or production based on the technical content disclosed in this application are only conventional technical means and should not be regarded as insufficient content disclosed in this application.

[0117] The term "embodiment" in this application refers to a specific feature, structure or characteristic described in conjunction with the embodiment that can be included in at least one embodiment of the present application. The appearance of this phrase in various locations in the specification does not necessarily mean the same embodiment, nor does it mean that it is mutually exclusive with other embodiments and is independent or optional. It is clearly or implicitly understood by those of ordinary skill in the art that the embodiments described in this application can be combined with other embodiments without conflict.

[0118] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of patent protection. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the scope of protection of the present application. Therefore, the scope of protection of the present application shall be subject to the attached claims.

Claims

1. A camera wake-up method, characterized in that: Used in a monitoring system, the monitoring system includes an infrared detection module, a wireless sensing module and a camera; wherein the method includes: When the infrared detection module is in a normal working state and detects that a detection target appears in a preset detection area, the wireless sensing module is awakened to perform target detection; When the wireless sensing module determines that the detection target appears in the detection area, waking up the camera to perform target recognition; When the wireless sensing module determines that the detection target does not exist in the detection area, counting the false wake-up information of the infrared detection module to obtain a first statistical result; When the first statistical result meets the preset abnormal condition, confirming that the infrared detection module is in an abnormal working state; When the infrared detection module detects the presence of the detection target in the preset detection area in the abnormal working state, the wireless sensing module is awakened to collect channel background state information once every interval T1, and a fluctuation analysis is performed based on the channel background state data collected for the previous n times to obtain a fluctuation analysis result; the fluctuation analysis includes time domain change analysis and inter-wavelet correlation analysis; T1 is greater than 0; n is greater than 0; When the fluctuation analysis result indicates that a detection target appears in the detection area, the wireless sensing module completes the target detection based on the reception of the complete sensing packet and combines the preset sensing detection algorithm process to obtain a complete detection result; When the complete detection result indicates that the detection target exists in the detection area, the camera is awakened.

2. The camera wake-up method according to claim 1, characterized in that: When the infrared detection module is in a normal working state and detects that a detection target appears in a preset detection area, waking up the wireless sensing module to perform target detection includes: When the infrared detection module is in normal working state and detects the presence of a detection target in a preset detection area, the wireless sensing module is awakened to complete target detection based on the reception of a complete sensing packet in combination with a preset sensing detection algorithm.

3. The camera wake-up method according to claim 1, characterized in that: When the wireless sensing module determines that the detection target does not exist in the detection area, the false awakening information of the infrared detection module is counted to obtain a first statistical result, including: When the wireless sensing module determines that the detection target does not exist in the detection area, the number of false awakenings of the infrared detection module is accumulated, and the false awakening frequency of the infrared detection module is determined according to the accumulated current number of false awakenings to obtain the first statistical result; When the false wake-up frequency is higher than a preset frequency threshold, it is determined that the first statistical result meets the preset abnormal condition.

4. The camera wake-up method according to claim 3, characterized in that: The frequency threshold is determined based on a real value of the number of occurrences of the detection target in the detection area within a preset period of time.

5. The camera wake-up method according to claim 1, characterized in that: The method further comprises: According to the fluctuation analysis result or the complete detection result, statistics are collected on the target detection information of the infrared detection module in the abnormal working state to obtain a second statistical result; When the second statistical result meets the preset stability condition, it is confirmed that the infrared detection module is in a normal working state.

6. The camera wake-up method according to claim 5, characterized in that: The method further comprises: When the second statistical result does not meet the preset stability condition, the infrared detection module is restarted.

7. A monitoring system, characterized in that: include: Infrared detection module, wireless sensing module, camera and control module; wherein the infrared detection module, the wireless sensing module and the camera are all connected to the control module for communication; The infrared detection module is used to perform infrared detection on a preset detection area; The wireless sensing module is used to perform wireless detection on the detection area; The camera is used to perform target recognition in the detection area; The control module is used to execute the camera wake-up method according to any one of claims 1 to 6.

8. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to execute the camera wake-up method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the camera wake-up method according to any one of claims 1 to 6 are implemented.

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