Intelligent camera with active defense and defense method thereof

Abstract

The invention relates to the technical field of image communication, in particular to an intelligent camera with active defense and a defense method thereof, and the intelligent camera comprises a data acquisition module, an extraction module, a judgment module, a determination module, a screening module and a defense module. According to the invention, through fusion of a multi-parameter analysis technology and combination of the target position, the attitude angle and the height of a real-time image and dynamic changes of sound intensity, accurate identification of an intrusion target is realized, and the judgment module adopts a multi-level logic of combination of boundary judgment and attitude angle change, so that the accuracy of abnormal target judgment is effectively improved; the screening module reduces erroneous judgment through comprehensive screening of sound intensity and position; the defense module calculates a launching track based on the real-time position and height of the target, fixed-point active defense is achieved through a water bomb, passivity of a traditional voice alarm mode is avoided, and the problem that the response speed is not timely due to single fingerprint recognition and vibration monitoring data is effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of image communication, and in particular to an intelligent camera with active defense and a defense method thereof. Background Art

[0002] As the current security industry matures, it also means that the protection level and specific scene requirements are becoming more and more numerous and detailed. Many intruders deliberately avoid the camera angle, or use hoods to prevent the camera from capturing the face, and then break into the house to steal, making it impossible to initiate proactive actions to prevent theft.

[0003] Patent document with patent publication number CN106254743A discloses an intelligent anti-theft camera, which includes: a main control module, a fingerprint recognition module, a vibration monitoring module, a voice alarm module, a first switch module, a camera module, a fill light module and a GPRS communication module; the main control module is used to receive user demand instructions and process information uploaded by each sub-module, and analyze the user demand instructions and the information uploaded by each sub-module to control the operation of each sub-module; the GPRS communication module is connected to the main control module and is used to establish a connection between the main control module and a smart mobile terminal of a specified user; the first switch module is connected to the main control module and is used for the main control module to The fingerprint recognition module is connected to the main control module and is used to collect fingerprints and verify and identify the collected fingerprints. The fingerprint recognition module is also used to control the closing and disconnection of the first switch module by the main control module after the fingerprint verification is qualified. The vibration monitoring module is connected to the main control module and is used to monitor the vibration of the camera. The voice alarm module is connected to the main control module and is used to alarm after the fingerprint recognition module fails to verify or the vibration monitoring module detects that the camera is vibrated. The camera module is connected to the main control module and is used to collect image information. The fill light module is connected to the main control module and is used to provide light source for the camera module.

[0004] It can be seen that the smart anti-theft camera has the following problems: it only relies on fingerprint recognition and vibration monitoring, lacks a multi-parameter target judgment mechanism and active defense function; the response measures are limited to voice alarms and cannot effectively prevent intrusion; vibration monitoring is easily triggered by environmental interference, and fingerprint recognition also has the risk of being forged. Summary of the invention

[0005] To this end, the present invention provides an intelligent camera with active defense and a defense method thereof, so as to overcome the problem of slow response speed caused by single fingerprint recognition and vibration monitoring data in the prior art.

[0006] To achieve the above objectives, on the one hand, the present invention provides a smart camera with active defense, comprising:

[0007] Data acquisition module, used to collect real-time images and sounds in the monitoring area;

[0008] An extraction module, connected to the data acquisition module, for extracting the real-time position, real-time attitude angle and real-time height of the observed target in the real-time image, and extracting the real-time intensity of the real-time sound;

[0009] A determination module, connected to the extraction module, for determining a temporary target according to the real-time position and the boundary of the monitoring area;

[0010] A determination module, which is connected to the determination module and the extraction module respectively, and is used to determine an abnormal target according to the real-time posture angle and the real-time position within a preset determination time after determining the temporary target;

[0011] A screening module, which is connected to the determination module and the extraction module respectively, and is used to screen intrusion targets according to the real-time position and the real-time strength of the abnormal target;

[0012] The defense module is connected to the screening module and the extraction module respectively, and is used to launch water bombs to the intrusion target according to the real-time position and real-time height of the intrusion target.

[0013] Furthermore, the determination module includes:

[0014] A distance calculation unit, used to calculate the vertical distance from the real-time position to the boundary of the monitoring area to form a sensitive distance;

[0015] A determination unit is connected to the distance calculation unit and is used to determine whether the observed target is a temporary target according to the sensitive distance, a preset sensitive distance threshold and the real-time position.

[0016] Furthermore, the determination unit includes:

[0017] A distance comparison subunit, used to compare the sensitive distance with the preset sensitive distance threshold to form a distance comparison result;

[0018] A distance duration recording subunit, which is connected to the distance comparison subunit and is used to record the duration of the distance comparison result to form the distance duration;

[0019] A first speed calculation subunit, configured to calculate a first average speed according to a change value of the real-time position within the distance duration when the distance duration is greater than a preset duration threshold;

[0020] A determination subunit is connected to the first speed calculation subunit, and is used to determine that the observed target is a temporary target when the first average speed is less than a preset average speed threshold.

[0021] Furthermore, the determining module includes:

[0022] An angle comparison unit, used to compare the real-time posture angle with a preset angle threshold to form an angle comparison result;

[0023] an angle fluctuation calculation unit connected to the angle comparison unit, and configured to calculate a standard deviation of the real-time posture angle to form an angle fluctuation value when the angle comparison result indicates that the real-time posture angle is less than the preset angle threshold;

[0024] A determination unit is connected to the angle fluctuation calculation unit and is used to determine that the temporary target is an abnormal target according to the angle fluctuation value and the real-time position.

[0025] Furthermore, the determining unit includes:

[0026] A second speed calculation subunit, used for calculating a second average speed according to a change value of the real-time position within the preset determined time period;

[0027] An angle fluctuation comparison subunit, used to compare the angle fluctuation value with a preset angle fluctuation threshold to form an angle fluctuation comparison result;

[0028] A first determination subunit is connected to the angle fluctuation comparison subunit and the second speed calculation subunit, respectively, and is used to determine that the temporary target is an abnormal target when the angle fluctuation comparison result is that the angle fluctuation value is greater than the preset angle fluctuation threshold, and the second average speed is greater than the first average speed.

[0029] Furthermore, the determining unit further includes:

[0030] a difference calculation subunit, connected to the angle fluctuation comparison subunit, for calculating the difference between the preset angle fluctuation threshold and the angle fluctuation value to form an angle fluctuation difference when the angle fluctuation comparison result is that the angle fluctuation value is less than or equal to the preset angle fluctuation threshold;

[0031] The second determination subunit is connected to the difference calculation subunit, and is used to determine that the temporary target is a special age target when the angle fluctuation difference is greater than a preset fluctuation difference threshold.

[0032] Furthermore, the screening module includes:

[0033] A defense position calculation unit, used to calculate the distance between the real-time position and a preset defense point to form a defense distance;

[0034] a defense comparison unit connected to the defense position calculation unit, for comparing the defense distance with a preset defense distance threshold to form a defense comparison result;

[0035] A screening unit is connected to the defense position calculation unit and is used to screen intrusion targets according to the defense comparison result and the real-time strength.

[0036] Furthermore, the screening unit comprises:

[0037] An instantaneous intensity calculation subunit, used to calculate the change value of the real-time intensity at adjacent moments to form an instantaneous intensity;

[0038] an intensity duration recording subunit, which is connected to the instantaneous intensity calculation subunit and is used to record the duration when the instantaneous intensity is greater than a preset instantaneous intensity threshold value to form an intensity duration;

[0039] The screening subunit is used to screen the abnormal targets to form intrusion targets when the intensity duration is greater than a preset intensity duration threshold.

[0040] Furthermore, the defense module includes:

[0041] A coordinate conversion unit, used to convert the real-time position and the real-time height into three-dimensional coordinates based on the preset defense point as an origin to form an invasion coordinate;

[0042] a transmission direction calculation unit, connected to the coordinate conversion unit, for calculating the transmission direction according to the intrusion coordinates;

[0043] a firing speed calculation unit connected to the coordinate conversion unit and used to calculate the firing speed according to the intrusion coordinates;

[0044] The defense unit is connected to the launch direction calculation unit and the launch speed calculation unit respectively, and is used to launch water bombs according to the launch direction and the launch speed.

[0045] On the other hand, the present invention also provides a defense method for a smart camera with active defense, comprising:

[0046] Collect real-time images and sounds within the monitoring area;

[0047] Extracting the real-time position, real-time attitude angle and real-time height of the observed target in the real-time image, and extracting the real-time intensity of the real-time sound;

[0048] Determine a temporary target according to the real-time position and the boundary of the monitoring area;

[0049] Determine an abnormal target according to the real-time posture angle and the real-time position within a preset determined time period after determining the temporary target;

[0050] Screening intrusion targets according to the real-time position and the real-time strength of the abnormal target;

[0051] Water bombs are fired at the invading target according to the real-time position and real-time height of the invading target.

[0052] Compared with the prior art, the beneficial effect of the present invention is that, by integrating multi-parameter analysis technology, combining the target position, posture angle and height of the real-time image, and the dynamic change of sound intensity, the accurate identification of the intrusion target is realized. The judgment module adopts a multi-level logic combining boundary judgment with posture angle change, which effectively improves the accuracy of abnormal target judgment; the screening module reduces misjudgment through comprehensive screening of sound intensity and position; the defense module calculates the launch trajectory based on the real-time position and height of the target, and uses water bombs to achieve fixed-point active defense, avoiding the passivity of the traditional voice alarm method. Through multi-parameter fusion, not only the accuracy of target identification and defense is improved, but also the practicality and reliability of the system in complex scenarios are significantly enhanced, effectively solving the problem of slow response speed due to the single fingerprint recognition and vibration monitoring data.

[0053] Furthermore, by calculating the sensitive distance between the real-time position and the boundary of the monitoring area, it is possible to dynamically identify targets close to the boundary or potential threats, thereby improving the accuracy of abnormal target screening. Combined with the preset sensitive distance threshold, it effectively avoids misjudgment, improves the system's response efficiency to intrusions in key areas, and reduces interference with non-threatening targets.

[0054] Furthermore, through the dual determination of the duration of the sensitive distance and the rate of position change, normal targets that pass through the area quickly can be effectively distinguished from suspicious targets that stay for a long time, thus improving the accuracy of the determination. The combination of the preset duration threshold and the average speed threshold can reduce the misjudgment caused by short stays or too fast movement, and filter out some false targets, such as fast-moving non-threatening objects (such as animals), maintaining the efficiency and real-time nature of monitoring.

[0055] Furthermore, the standard deviation of the real-time attitude angle is used to capture abnormal fluctuations of the target, thereby improving the ability to judge abnormal targets. By calculating the angle fluctuation value, it is possible to accurately identify whether the target has unnatural movement or attitude changes, thereby effectively distinguishing normal targets from potential threats, reducing false alarm rates and enhancing the accuracy and stability of the system.

[0056] Furthermore, by combining the second average speed and angle fluctuation value for dual determination, the detection accuracy of complex target behaviors is improved, avoiding misjudgment that may be caused by relying on a single parameter. Especially when the target speed and posture change dramatically, it can more accurately determine abnormal behaviors and improve the response efficiency of the defense system.

[0057] Furthermore, by introducing the calculation and further judgment of the angle fluctuation difference, the behaviors of different targets can be accurately distinguished, especially those targets caused by special ages or other special factors. This detailed judgment can avoid misjudging normal fluctuations as abnormal behaviors, improve the accuracy and intelligence level of system recognition, and help implement differentiated protection measures for targets of different age groups.

[0058] Furthermore, by accurately calculating the distance between the real-time position and the defense point, and combining the real-time sound intensity to screen the intrusion target, the accuracy of identifying and locating the intruder can be effectively improved, ensuring that only qualified targets are judged as intrusion targets, thereby more efficiently initiating defense measures and enhancing the system's active defense capabilities.

[0059] Furthermore, by calculating the change in instantaneous intensity and recording the duration of intensity, the intrusion target can be accurately distinguished. By setting the intensity duration threshold, the misjudgment of natural changes in the environment can be effectively avoided, the response accuracy and defense efficiency of the system can be improved, and the intrusion target can be quickly identified and defended.

[0060] Furthermore, by calculating the three-dimensional coordinates of the invading target and dynamically adjusting the launch direction and speed, it is possible to accurately track the invading target and carry out targeted defense, thereby greatly improving the accuracy and efficiency of the defense system. It not only ensures the accuracy of the defense, but also can cope with invading targets at different positions and heights, enhancing the flexibility and adaptability of the system.

[0061] Furthermore, through multi-level dynamic monitoring and screening, accurate identification and timely response to intrusion targets are ensured. By combining real-time images, sounds and location data, it can not only effectively identify abnormal behaviors of targets, but also flexibly adjust defense strategies to ensure the efficiency and reliability of the defense system in the face of different threats, improve the accuracy of security protection, optimize the use of resources, and reduce the possibility of misjudgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 This is a schematic diagram of the module of the smart camera with active defense in this embodiment;

[0063] Figure 2 This is a schematic diagram of the structure of the smart camera with active defense in this embodiment;

[0064] Figure 3A decision logic diagram for determining an abnormal target by the first determination subunit of this embodiment;

[0065] Figure 4 This is a decision logic diagram for the screening subunit in this embodiment to determine the intrusion target. DETAILED DESCRIPTION

[0066] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0067] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0068] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0069] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0070] See also Figure 1 As shown, it is a module schematic diagram of the smart camera with active defense in this embodiment;

[0071] Please continue reading Figure 2 As shown, it is a schematic diagram of the structure of the smart camera with active defense in this embodiment;

[0072] On the one hand, this embodiment provides a smart camera with active defense, including:

[0073] Data acquisition module 1, used to collect real-time images and real-time sounds in the monitoring area;

[0074] The data processing station 2 is internally provided with an extraction module, a determination module, a determination module and a screening module;

[0075] The extraction module is connected to the data acquisition module 1 and is used to extract the real-time position, real-time attitude angle and real-time height of the observed target in the real-time image, and to extract the real-time intensity of the real-time sound;

[0076] The determination module is connected to the extraction module and is used to determine the temporary target according to the real-time position and the boundary of the monitoring area;

[0077] The determination module is connected to the determination module and the extraction module respectively, and is used to determine the abnormal target according to the real-time posture angle and the real-time position within a preset determination time after determining the temporary target;

[0078] The screening module is connected to the determination module and the extraction module respectively, and is used to screen the intrusion target according to the real-time position and the real-time strength of the abnormal target;

[0079] The defense module 3 is connected to the screening module and the extraction module respectively, and is used to launch water bombs to the intrusion target according to the real-time position and real-time height of the intrusion target.

[0080] The extraction module uses the target detection algorithm to calibrate the observed target in the image, estimates its real-time position, attitude angle and height through the deep learning model, and improves the accuracy by combining the sensor calibration parameters. At the same time, the audio signal processing technology is used to perform spectrum analysis and intensity calculation on the collected sound data to extract the intensity value of the real-time sound. Through the synchronous processing of image and sound data, the real-time and accuracy of the extracted parameters are ensured, providing a reliable data basis for subsequent judgment and defense.

[0081] The preset determination time is a time window for observing target behavior characteristics and screening abnormal targets. It depends on the complexity of the monitoring scene, the rate of change of target behavior, and the system response speed. It is usually set between 1 second and 5 seconds to balance the recognition accuracy and response speed. This embodiment is set to 2 seconds, which can quickly start subsequent defense measures while ensuring the accuracy of target behavior judgment, effectively reduce the misjudgment rate, and timely capture the behavioral changes of the intrusion target.

[0082] The data acquisition module obtains the image and sound information in the monitoring area in real time. The extraction module extracts the target position, posture angle and height in the image, as well as the sound intensity, and passes it to the judgment module for temporary target judgment. The determination module further determines whether it is an abnormal target based on the target position and posture angle within the set time. The screening module selects the intrusion target based on the real-time position and sound intensity of the abnormal target. Finally, the defense module accurately locates the intrusion target based on the position information and height, and launches water bombs to actively defend the intrusion target.

[0083] By integrating multi-parameter analysis technology, combining the target position, posture angle and height of real-time images, and the dynamic changes of sound intensity, accurate identification of intrusion targets is achieved. The judgment module adopts a multi-level logic that combines boundary judgment with posture angle changes, which effectively improves the accuracy of abnormal target judgment; the screening module reduces misjudgment through comprehensive screening of sound intensity and position; the defense module calculates the launch trajectory based on the real-time position and height of the target, and uses water bombs to achieve fixed-point active defense, avoiding the passivity of traditional voice alarm methods. Through multi-parameter fusion, not only the accuracy of target identification and defense is improved, but also the practicality and reliability of the system in complex scenarios are significantly enhanced, effectively solving the problem of slow response speed due to single fingerprint recognition and vibration monitoring data.

[0084] Specifically, the determination module includes:

[0085] A distance calculation unit, used to calculate the vertical distance from the real-time position to the boundary of the monitoring area to form a sensitive distance;

[0086] A determination unit is connected to the distance calculation unit and is used to determine whether the observed target is a temporary target according to the sensitive distance, a preset sensitive distance threshold and the real-time position.

[0087] The preset sensitive distance threshold is the minimum distance range that triggers the system to judge when the observed target in the monitoring area approaches the border, which depends on factors such as the size of the monitoring area, the camera viewing angle range, and the moving speed of the target. Usually, the threshold is set between 1 meter and 3 meters. In this embodiment, it is set to 2 meters. It can effectively identify potential intrusion targets approaching the border and avoid misjudgments caused by normal activities, thereby improving the response accuracy and reliability of the system.

[0088] The determination module calculates the vertical distance from the real-time position of the observed target to the boundary of the monitoring area through the distance calculation unit and generates a sensitive distance. Subsequently, the determination unit determines whether the target has entered the sensitive area based on the comparison result of the sensitive distance and the preset sensitive distance threshold, combined with the real-time position, and thus determines the observed target that meets the conditions as a temporary target.

[0089] By calculating the sensitive distance between the real-time position and the boundary of the monitoring area, it can dynamically identify targets close to the boundary or potential threats, improving the accuracy of abnormal target screening. Combined with the preset sensitive distance threshold, it can effectively avoid misjudgment, improve the system's response efficiency to intrusions in key areas, and reduce interference with non-threatening targets.

[0090] Specifically, the determination unit includes:

[0091] A distance comparison subunit, used to compare the sensitive distance with the preset sensitive distance threshold to form a distance comparison result;

[0092] A distance duration recording subunit, which is connected to the distance comparison subunit and is used to record the duration of the distance comparison result to form the distance duration;

[0093] A first speed calculation subunit, configured to calculate a first average speed according to a change value of the real-time position within the distance duration when the distance duration is greater than a preset duration threshold;

[0094] A determination subunit is connected to the first speed calculation subunit, and is used to determine that the observed target is a temporary target when the first average speed is less than a preset average speed threshold.

[0095] The preset duration threshold is a reference value for determining whether the target has stayed in a sensitive area for a certain period of time. The threshold depends on the size of the monitoring area, the mobility characteristics of the target type, and the system's tolerance for abnormal behavior. It is usually set between 3 and 10 seconds to take into account the needs of rapid response and reducing the false positive rate. In this embodiment, it is set to 5 seconds, which can effectively balance real-time performance and accuracy, and can quickly detect potential threats while avoiding false triggers caused by short stays.

[0096] The preset average speed threshold refers to the speed standard used to determine whether the observed target is a temporary target. It depends on the specific requirements of the monitoring area and the actual application scenario. It is usually set between 0.2 m / s and 2 m / s to adapt to different target behavior patterns. In this embodiment, it is set to 0.5 m / s, which can effectively distinguish between normal passing targets and potential intruders, while reducing the false alarm rate and ensuring the accuracy and effectiveness of the monitoring system.

[0097] The distance comparison subunit compares the sensitive distance with the preset sensitive distance threshold to generate a distance comparison result; then, the distance duration recording subunit records the duration according to the comparison result to form the distance duration; after the distance duration exceeds the preset duration threshold, the first speed calculation subunit calculates the first average speed according to the position change value of the observed target during this time period; finally, the judgment subunit compares the average speed with the preset average speed threshold, and when it is less than the threshold, the observed target is judged as a temporary target.

[0098] Through the dual judgment of the duration of the sensitive distance and the rate of position change, it can effectively distinguish normal targets that pass through the area quickly from suspicious targets that stay for a long time, improving the accuracy of the judgment. The combination of the preset duration threshold and the average speed threshold can reduce misjudgments caused by short stays or too fast movement, and filter out some false targets, such as fast-moving non-threatening objects (such as animals), maintaining the efficiency and real-time nature of monitoring.

[0099] Specifically, the determination module includes:

[0100] An angle comparison unit, used to compare the real-time posture angle with a preset angle threshold to form an angle comparison result;

[0101] an angle fluctuation calculation unit connected to the angle comparison unit, and configured to calculate a standard deviation of the real-time posture angle to form an angle fluctuation value when the angle comparison result indicates that the real-time posture angle is less than the preset angle threshold;

[0102] A determination unit is connected to the angle fluctuation calculation unit and is used to determine that the temporary target is an abnormal target according to the angle fluctuation value and the real-time position.

[0103] The preset angle threshold is a reference value for determining the real-time posture angle change. When the posture angle of the target is less than this threshold, further fluctuation calculation and abnormal target judgment are triggered. It depends on the normal activity range of the target, the characteristics of the monitoring area, and the expected monitoring accuracy. It is usually set between 0 degrees and 30 degrees. In this embodiment, it is set to 10 degrees, which can effectively filter out small normal movements, while sensitively detecting abnormal posture changes, avoiding missing abnormal targets, and ensuring high recognition accuracy.

[0104] The determination module compares the real-time posture angle with the preset angle threshold through the angle comparison unit to form an angle comparison result. When the real-time posture angle is less than the preset angle threshold, the angle fluctuation calculation unit calculates the standard deviation of the real-time posture angle to obtain the angle fluctuation value. Finally, the determination unit combines the angle fluctuation value and the real-time position to determine whether the temporary target is an abnormal target.

[0105] The standard deviation of the real-time attitude angle is used to capture abnormal fluctuations of the target, thereby improving the ability to judge abnormal targets. By calculating the angle fluctuation value, it is possible to accurately identify whether the target has unnatural movement or attitude changes, thereby effectively distinguishing normal targets from potential threats, reducing false alarm rates and enhancing the accuracy and stability of the system.

[0106] Please continue reading Figure 3 As shown, it is a decision logic diagram of the first determination subunit determining an abnormal target in this embodiment;

[0107] Specifically, the determining unit includes:

[0108] A second speed calculation subunit, used for calculating a second average speed according to a change value of the real-time position within the preset determined time period;

[0109] An angle fluctuation comparison subunit, used to compare the angle fluctuation value with a preset angle fluctuation threshold to form an angle fluctuation comparison result;

[0110] A first determination subunit is connected to the angle fluctuation comparison subunit and the second speed calculation subunit, respectively, and is used to determine that the temporary target is an abnormal target when the angle fluctuation comparison result is that the angle fluctuation value is greater than the preset angle fluctuation threshold, and the second average speed is greater than the first average speed.

[0111] The preset angle fluctuation threshold is a reference standard for determining whether the target posture angle fluctuation is abnormal. It depends on the target's range of motion and the stability of environmental conditions. It is usually set between 1° and 5°. In this embodiment, it is set to 2°, which helps to avoid misjudgment while ensuring effective identification of the target's abnormal behavior and increasing the system's response sensitivity to slight motion changes.

[0112] The determination unit calculates the second average speed of the real-time position within the preset determination time length through the second speed calculation subunit, and compares the fluctuation value of the real-time posture angle with the preset angle fluctuation threshold through the angle fluctuation comparison subunit. When the angle fluctuation value is greater than the preset threshold and the second average speed is greater than the first average speed, the first determination subunit determines the temporary target as an abnormal target.

[0113] By combining the second average speed and angle fluctuation value, the detection accuracy of complex target behaviors is improved, avoiding misjudgment that may be caused by relying on a single parameter. Especially when the target speed and posture change dramatically, it can more accurately determine abnormal behavior and improve the response efficiency of the defense system.

[0114] Specifically, the determining unit further includes:

[0115] a difference calculation subunit, connected to the angle fluctuation comparison subunit, for calculating the difference between the preset angle fluctuation threshold and the angle fluctuation value to form an angle fluctuation difference when the angle fluctuation comparison result is that the angle fluctuation value is less than or equal to the preset angle fluctuation threshold;

[0116] The second determination subunit is connected to the difference calculation subunit, and is used to determine that the temporary target is a special age target when the angle fluctuation difference is greater than a preset fluctuation difference threshold.

[0117] The preset fluctuation difference threshold is a standard value used to determine whether a target is a special age target, which depends on the age characteristics of the target in the monitoring scene and the normal range of posture fluctuation. It is usually set between 0.5° and 2°, and is set to 1.0° in this embodiment, which helps to accurately distinguish the fluctuation difference between normal fluctuations and special age targets, thereby improving the recognition accuracy of special age groups and avoiding misjudgment.

[0118] Special age targets refer to target objects in specific monitoring scenarios that are different from regular adults or children due to their age, physical characteristics or behavior patterns, and exhibit different behavioral characteristics. For example, children, the elderly or people of certain age groups will exhibit different movement speeds, posture changes or behavior patterns, which may affect the way they interact with the monitoring system. Therefore, by calculating the angle fluctuation difference, these special age targets can be effectively identified and appropriate responses or protective measures can be provided to prevent misidentification or missed identification, thereby improving the accuracy and reliability of the system.

[0119] The determination unit compares the difference between the angle fluctuation value and the preset angle fluctuation threshold through the difference calculation subunit, and when the angle fluctuation value is less than or equal to the preset angle fluctuation threshold, calculates the difference between the two (angle fluctuation difference). Then, the second determination subunit compares the angle fluctuation difference with the preset fluctuation difference threshold, and if the angle fluctuation difference is greater than the preset threshold, determines that the temporary target is a special age target.

[0120] By introducing the calculation and further judgment of the angle fluctuation difference, it is possible to accurately distinguish the behaviors of different targets, especially those caused by special ages or other special factors. This detailed judgment can avoid misjudging normal fluctuations as abnormal behaviors, improve the accuracy and intelligence level of system recognition, and help implement differentiated protection measures for targets of different age groups.

[0121] Specifically, the screening module includes:

[0122] A defense position calculation unit, used to calculate the distance between the real-time position and a preset defense point to form a defense distance;

[0123] a defense comparison unit connected to the defense position calculation unit, for comparing the defense distance with a preset defense distance threshold to form a defense comparison result;

[0124] A screening unit is connected to the defense position calculation unit and is used to screen intrusion targets according to the defense comparison result and the real-time strength.

[0125] A preset defense point refers to a specific location or area that is set in advance in the smart camera defense system and is used to judge and initiate defense measures. These defense points are usually based on key locations where intrusions may occur in the monitored area, such as doors, windows, walls, and other areas that are easily invaded. The setting of preset defense points depends on the characteristics of the monitored target and the actual scene requirements, and is usually selected based on experience, intrusion risks, or protection needs. In this embodiment, the preset defense point is a reference position set during system design, which is used to compare with the real-time position to determine whether to initiate defense measures.

[0126] The preset defense distance threshold refers to a standard distance set by the system when judging whether to initiate defense measures. If the distance between the target and the preset defense point is less than the threshold, the target is considered to be close to the defense area and defense measures need to be initiated. It is usually set between a few meters and more than ten meters to ensure that the defense system can respond to potential intrusions in a timely manner. This embodiment is set to 5 meters to ensure that the system can initiate defense in a timely manner when the target approaches the defense area to prevent potential security threats.

[0127] The screening module calculates the distance between the real-time position and the preset defense point through the defense position calculation unit to obtain the defense distance. Then, the defense comparison unit compares the defense distance with the preset defense distance threshold to generate a defense comparison result. Finally, the screening unit screens the intrusion target according to the defense comparison result and the real-time sound intensity.

[0128] By accurately calculating the distance between the real-time position and the defense point, and combining the real-time sound intensity to screen the intrusion targets, the accuracy of identifying and locating intruders can be effectively improved, ensuring that only qualified targets are judged as intrusion targets, thereby more efficiently initiating defense measures and enhancing the system's active defense capabilities.

[0129] Please continue reading Figure 4 As shown, it is a decision logic diagram of the screening subunit in this embodiment for determining the intrusion target;

[0130] Specifically, the screening unit comprises:

[0131] An instantaneous intensity calculation subunit, used to calculate the change value of the real-time intensity at adjacent moments to form an instantaneous intensity;

[0132] an intensity duration recording subunit, which is connected to the instantaneous intensity calculation subunit and is used to record the duration when the instantaneous intensity is greater than a preset instantaneous intensity threshold value to form an intensity duration;

[0133] The screening subunit is used to screen the abnormal targets to form intrusion targets when the intensity duration is greater than a preset intensity duration threshold.

[0134] The preset instantaneous intensity threshold is the minimum intensity value used to distinguish between environmental noise and intrusion targets, which usually depends on the background noise level of the monitoring environment and the signal strength of the target. It is usually set between 30dB-80dB, and is set to 50dB in this embodiment, which can ensure that the system only responds to obvious intrusion targets and avoids interference from background noise.

[0135] The preset intensity duration threshold refers to the shortest duration when the instantaneous intensity is greater than the instantaneous intensity threshold, which usually depends on the persistence of the target and the response speed of the monitoring system. It is usually set between 1 second and 5 seconds, and is set to 3 seconds in this embodiment, which can filter out short-term interference signals and ensure that the system makes accurate judgments on real intrusion targets.

[0136] The screening module calculates the real-time intensity change between adjacent moments through the instantaneous intensity calculation subunit to obtain the instantaneous intensity. Then, the intensity duration recording subunit records the duration when the instantaneous intensity is greater than the preset instantaneous intensity threshold to form the intensity duration. When the intensity duration exceeds the preset intensity duration threshold, the screening subunit determines the abnormal target as an intrusion target.

[0137] By calculating the change in instantaneous intensity and recording the duration of intensity, the intrusion target can be accurately distinguished. By setting the intensity duration threshold, it can effectively avoid misjudgment of natural changes in the environment, improve the system's response accuracy and defense efficiency, and thus achieve rapid identification and defense of intrusion targets.

[0138] Specifically, the defense module includes:

[0139] A coordinate conversion unit, used to convert the real-time position and the real-time height into three-dimensional coordinates based on the preset defense point as an origin to form an invasion coordinate;

[0140] a transmission direction calculation unit, connected to the coordinate conversion unit, for calculating the transmission direction according to the intrusion coordinates;

[0141] a firing speed calculation unit connected to the coordinate conversion unit and used to calculate the firing speed according to the intrusion coordinates;

[0142] The defense unit is connected to the launch direction calculation unit and the launch speed calculation unit respectively, and is used to launch water bombs according to the launch direction and the launch speed.

[0143] The defense module first converts the real-time position and height into three-dimensional coordinates relative to the preset defense point through the coordinate conversion unit to form the intrusion coordinates. Then, the launch direction calculation unit uses these intrusion coordinates to calculate the appropriate launch direction. Next, the launch speed calculation unit calculates the appropriate launch speed based on the intrusion coordinates to ensure the effectiveness of the defense. Finally, the defense unit launches water bombs based on the launch direction and speed, accurately aiming at the intrusion target for defense.

[0144] By calculating the three-dimensional coordinates of the invading target and dynamically adjusting the launch direction and speed, it can accurately track and carry out targeted defense against the invading target, thereby greatly improving the accuracy and efficiency of the defense system. It not only ensures the accuracy of the defense, but also can cope with invading targets at different positions and heights, enhancing the flexibility and adaptability of the system.

[0145] On the other hand, this embodiment also provides a defense method for a smart camera with active defense, including:

[0146] Collect real-time images and sounds within the monitoring area;

[0147] Extracting the real-time position, real-time attitude angle and real-time height of the observed target in the real-time image, and extracting the real-time intensity of the real-time sound;

[0148] Determine a temporary target according to the real-time position and the boundary of the monitoring area;

[0149] Determine an abnormal target according to the real-time posture angle and the real-time position within a preset determined time period after determining the temporary target;

[0150] Screening intrusion targets according to the real-time position and the real-time strength of the abnormal target;

[0151] Water bombs are fired at the invading target according to the real-time position and real-time height of the invading target.

[0152] First, real-time image and sound data in the monitoring area are collected, and the real-time position, attitude angle and height of the observed target, as well as the real-time sound intensity, are extracted from them. Next, the target is determined to be a temporary target based on the real-time position and the boundary of the monitoring area, and further determined to be an abnormal target based on the real-time attitude angle and position. If the target is confirmed to be abnormal, the intrusion target is screened out based on the real-time position and intensity. Finally, according to the real-time position and height of the intrusion target, water bombs are accurately calculated and launched for defense.

[0153] Through multi-level dynamic monitoring and screening, accurate identification and timely response to intrusion targets are ensured. By combining real-time images, sounds and location data, it can not only effectively identify abnormal behaviors of targets, but also flexibly adjust defense strategies to ensure the efficiency and reliability of defense systems in the face of different threats, improve the accuracy of security protection, optimize the use of resources, and reduce the possibility of misjudgment.

[0154] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0155] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A smart camera with active defense, characterized in that: include: Data acquisition module, used to collect real-time images and sounds in the monitoring area; An extraction module, connected to the data acquisition module, for extracting the real-time position, real-time attitude angle and real-time height of the observed target in the real-time image, and extracting the real-time intensity of the real-time sound; A determination module, connected to the extraction module, for determining a temporary target according to the real-time position and the boundary of the monitoring area; A determination module, which is connected to the determination module and the extraction module respectively, and is used to determine an abnormal target according to the real-time posture angle and the real-time position within a preset determination time after determining the temporary target; A screening module, which is connected to the determination module and the extraction module respectively, and is used to screen intrusion targets according to the real-time position and the real-time strength of the abnormal target; The defense module is connected to the screening module and the extraction module respectively, and is used to launch water bombs to the intrusion target according to the real-time position and real-time height of the intrusion target.

2. The smart camera with active defense according to claim 1, characterized in that: The determination module comprises: A distance calculation unit, used to calculate the vertical distance from the real-time position to the boundary of the monitoring area to form a sensitive distance; A determination unit is connected to the distance calculation unit and is used to determine whether the observed target is a temporary target according to the sensitive distance, a preset sensitive distance threshold and the real-time position.

3. The smart camera with active defense according to claim 2, characterized in that: The determination unit comprises: A distance comparison subunit, used to compare the sensitive distance with the preset sensitive distance threshold to form a distance comparison result; A distance duration recording subunit, which is connected to the distance comparison subunit and is used to record the duration of the distance comparison result to form the distance duration; A first speed calculation subunit, configured to calculate a first average speed according to a change value of the real-time position within the distance duration when the distance duration is greater than a preset duration threshold; A determination subunit is connected to the first speed calculation subunit, and is used to determine that the observed target is a temporary target when the first average speed is less than a preset average speed threshold.

4. The smart camera with active defense according to claim 3, characterized in that: The determination module comprises: An angle comparison unit, used to compare the real-time posture angle with a preset angle threshold to form an angle comparison result; an angle fluctuation calculation unit connected to the angle comparison unit, and configured to calculate a standard deviation of the real-time posture angle to form an angle fluctuation value when the angle comparison result indicates that the real-time posture angle is less than the preset angle threshold; A determination unit is connected to the angle fluctuation calculation unit and is used to determine that the temporary target is an abnormal target according to the angle fluctuation value and the real-time position.

5. The smart camera with active defense according to claim 4, characterized in that: The determining unit comprises: A second speed calculation subunit, used for calculating a second average speed according to a change value of the real-time position within the preset determined time period; An angle fluctuation comparison subunit, used to compare the angle fluctuation value with a preset angle fluctuation threshold value to form an angle fluctuation comparison result; A first determination subunit is connected to the angle fluctuation comparison subunit and the second speed calculation subunit, respectively, and is used to determine that the temporary target is an abnormal target when the angle fluctuation comparison result is that the angle fluctuation value is greater than the preset angle fluctuation threshold, and the second average speed is greater than the first average speed.

6. The smart camera with active defense according to claim 5, characterized in that: The determining unit further includes: a difference calculation subunit, connected to the angle fluctuation comparison subunit, for calculating the difference between the preset angle fluctuation threshold and the angle fluctuation value to form an angle fluctuation difference when the angle fluctuation comparison result is that the angle fluctuation value is less than or equal to the preset angle fluctuation threshold; The second determination subunit is connected to the difference calculation subunit, and is used to determine that the temporary target is a special age target when the angle fluctuation difference is greater than a preset fluctuation difference threshold.

7. The smart camera with active defense according to claim 6, characterized in that: The screening module comprises: A defense position calculation unit, used to calculate the distance between the real-time position and a preset defense point to form a defense distance; a defense comparison unit connected to the defense position calculation unit, for comparing the defense distance with a preset defense distance threshold to form a defense comparison result; A screening unit is connected to the defense position calculation unit and is used to screen intrusion targets according to the defense comparison result and the real-time strength.

8. The smart camera with active defense according to claim 7, characterized in that: The screening unit comprises: An instantaneous intensity calculation subunit, used to calculate the change value of the real-time intensity at adjacent moments to form an instantaneous intensity; an intensity duration recording subunit, which is connected to the instantaneous intensity calculation subunit and is used to record the duration when the instantaneous intensity is greater than a preset instantaneous intensity threshold value to form an intensity duration; The screening subunit is used to screen the abnormal targets to form intrusion targets when the intensity duration is greater than a preset intensity duration threshold.

9. The smart camera with active defense according to claim 8, characterized in that: The defense module includes: A coordinate conversion unit, used to convert the real-time position and the real-time height into three-dimensional coordinates based on the preset defense point as an origin to form an invasion coordinate; a transmission direction calculation unit, connected to the coordinate conversion unit, for calculating the transmission direction according to the intrusion coordinates; a firing speed calculation unit connected to the coordinate conversion unit and used to calculate the firing speed according to the intrusion coordinates; The defense unit is connected to the launch direction calculation unit and the launch speed calculation unit respectively, and is used to launch water bombs according to the launch direction and the launch speed.

10. A defense method for a smart camera with active defense, based on the smart camera with active defense according to claims 1-9, characterized in that: include: Collect real-time images and sounds within the monitoring area; Extracting the real-time position, real-time attitude angle and real-time height of the observed target in the real-time image, and extracting the real-time intensity of the real-time sound; Determine a temporary target according to the real-time position and the boundary of the monitoring area; Determine an abnormal target according to the real-time posture angle and the real-time position within a preset determined time period after determining the temporary target; Screening intrusion targets according to the real-time position and the real-time strength of the abnormal target; Water bombs are fired at the invading target according to the real-time position and real-time height of the invading target.

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