An artificial intelligence-based monitoring method and system

Abstract

The application relates to an artificial intelligence-based monitoring method and system. The artificial intelligence-based monitoring system comprises a monitoring unit configured to collect static or dynamic image information; a control unit configured to adjust the position of the collection end of the monitoring unit based on the signal transmitted by a transmission unit; control the action of a detection unit; a transmission unit configured to transmit the static or dynamic image information collected by the monitoring unit to a display unit of a background computer for display, the transmission unit receives a control signal transmitted by the background computer and outputs the control signal to the control unit; and a detection unit configured to randomly mark the static or dynamic image information collected by the monitoring unit; the random marking refers to adding random marks in the static or dynamic image information at a random time point through the control unit; the artificial intelligence-based monitoring method and system are simple in structure, convenient to operate, flexible to use and high in safety.

Description

Technical Field

[0001] This invention belongs to the field of image transmission technology, specifically relating to a monitoring method and system based on artificial intelligence. Background Technology

[0002] The field of image communication is developing rapidly, and many regions use image acquisition devices to monitor the area. People use monitors and displays on backend computers to monitor the area. However, the security of existing monitoring methods is not high. In many cases, intruders will use looping images to cover the monitors and displays of the backend computers, making it impossible for the monitors to detect the intrusion. Therefore, the security performance of traditional monitoring systems needs to be strengthened. Summary of the Invention

[0003] The purpose of this invention is to provide a simple and rationally designed monitoring method and system based on artificial intelligence in order to solve the above problems.

[0004] The present invention achieves the above objectives through the following technical solutions:

[0005] An artificial intelligence-based monitoring system, the system comprising,

[0006] A monitoring unit, configured to collect static or dynamic image information;

[0007] The control unit is configured to adjust the position of the monitoring unit's acquisition end and control the actions of the detection unit based on the signals transmitted by the transmission unit.

[0008] The transmission unit is configured to transmit static or dynamic image information collected by the monitoring unit to the display unit of the back-end computer for display. The transmission unit receives control signals transmitted by the back-end computer and outputs the control signals to the control unit.

[0009] The detection unit is configured to randomly mark static or dynamic image information collected by the monitoring unit; the random marking refers to the addition of random marks to the static or dynamic image information by the control unit at random time points.

[0010] As a further optimization of the present invention, the monitoring unit includes a monitoring housing, a monitoring lens is disposed inside the monitoring housing, a connecting arm is connected to the monitoring housing, a monitoring base is connected to the connecting arm, a driving component is connected to the monitoring base, the driving component drives the connecting arm to move and adjust the position of the monitoring lens, and the driving component is connected to the control unit.

[0011] As a further optimization of the present invention, the surface of the monitoring base is provided with a defined slot, the connecting arm is disposed in the defined slot, the monitoring housing can cover the surface of the defined slot, and the lower protrusion of the monitoring housing can be inserted into the defined slot.

[0012] As a further optimization of the present invention, the detection unit includes a rotating outer tube and a rotating inner tube. The monitoring lens is disposed inside the rotating outer tube and the rotating inner tube. The rotating outer tube and the rotating inner tube are fixedly connected. The rotating outer tube is disposed outside the monitoring housing. A bearing assembly and a connecting gear are fixedly connected to the outer surface of the rotating inner tube. The rotating inner tube is connected to the inner wall of the monitoring housing through the bearing assembly. A detection rod is fixedly connected to the inner wall surface of the rotating outer tube. A scale is provided on the surface edge of the monitoring lens. The scale is an angle marker.

[0013] As a further optimization of the present invention, the transmission unit includes a wireless transmission module or a wired transmission module.

[0014] As a further optimization of the present invention, the control unit includes a control component disposed inside the monitoring housing, the control component is connected to the transmission unit, the control component is connected to a drive motor, the drive end of the drive motor is fixedly connected to a drive gear, the drive gear meshes with the connecting gear, and the drive gear is connected to a limiting seat.

[0015] An artificial intelligence-based monitoring method, the method comprising,

[0016] A monitoring unit, configured to collect static or dynamic image information;

[0017] The control unit is configured to adjust the position of the monitoring unit's acquisition end and control the actions of the detection unit based on the signals transmitted by the transmission unit.

[0018] The transmission unit is configured to transmit static or dynamic image information collected by the monitoring unit to the display unit of the back-end computer for display. The transmission unit also receives control signals transmitted by the back-end computer and outputs the control signals to the control unit.

[0019] The detection unit is configured to randomly mark static or dynamic image information collected by the monitoring unit; the random marking refers to the addition of random marks to the static or dynamic image information by the control unit at random time points.

[0020] The method further includes that, when the monitoring unit is working continuously, the control unit controls the detection unit to act at random times and transmits the action information of the detection unit to the background computer. The background computer verifies whether the mark position of the screen in its display unit is consistent with that transmitted by the transmission unit. If they are consistent, the computer outputs a signal to the control unit, and the control unit controls the detection unit to reset. If they are inconsistent, an alarm is issued.

[0021] The beneficial effects of this invention are as follows: This invention can drive the drive gear to rotate via a drive motor, thereby driving the rotating outer tube to rotate, changing the position of the detection rod, and then the background computer verifies the received image to determine whether the image displayed on the background computer's display unit is a real-time image, further improving the real-time performance and security of image transmission; the entire system and method, by randomly selecting a time, drives the detection unit to act, at which time the control unit controls the detection rod in the detection unit to rotate a certain angle, and the transmission unit transmits the position of the detection rod to the background computer. The background computer, based on the image displayed on its display unit, determines whether the position of the detection rod in the image is the same as the position of the detection rod transmitted by the transmission unit, thereby determining whether the image displayed on the background computer's display unit is a real-time image, thus ensuring the security performance of the monitoring system. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the overall structure of the present invention;

[0023] Figure 2 This is a structural schematic diagram from another perspective of the present invention;

[0024] Figure 3 This is a front structural diagram of the monitoring housing component of the present invention;

[0025] Figure 4 This is a side view of the monitoring housing of the present invention;

[0026] Figure 5 This is a schematic diagram of the internal structure of the monitoring housing component of the present invention;

[0027] Figure 6 This is a schematic diagram of the acquisition end face of the monitoring lens of the present invention.

[0028] In the diagram: 1. Monitoring housing; 2. Monitoring base; 3. Connecting arm; 4. Limiting slot; 5. Rotating outer tube; 6. Monitoring lens; 7. Detection rod; 8. Rotating inner tube; 9. Bearing assembly; 10. Connecting gear; 11. Drive motor; 12. Drive gear; 13. Limiting base; 14. Scale; 15. Control assembly. Detailed Implementation

[0029] The present application will now be described in further detail with reference to the accompanying drawings. It should be noted that the following specific embodiments are only used to further illustrate the present application and should not be construed as limiting the scope of protection of the present application. Those skilled in the art can make some non-essential improvements and adjustments to the present application based on the above application content. Example

[0030] like Figures 1-6 As shown, an artificial intelligence-based monitoring system includes,

[0031] A monitoring unit, configured to collect static or dynamic image information;

[0032] The control unit is configured to adjust the position of the monitoring unit's acquisition end and control the actions of the detection unit based on the signals transmitted by the transmission unit.

[0033] The transmission unit is configured to transmit static or dynamic image information collected by the monitoring unit to the display unit of the back-end computer for display. The transmission unit receives control signals transmitted by the back-end computer and outputs the control signals to the control unit.

[0034] The detection unit is configured to randomly mark static or dynamic image information collected by the monitoring unit; the random marking refers to the addition of random marks to the static or dynamic image information by the control unit at random time points.

[0035] The system operates as follows: When the monitoring unit is working continuously, the control unit controls the detection unit to act at random times and transmits the action information of the detection unit to the background computer. The background computer verifies whether the mark position on the screen in its display unit is consistent with that transmitted by the transmission unit. If they are consistent, it outputs a signal to the control unit, and the control unit controls the detection unit to reset; if they are inconsistent, it issues an alarm.

[0036] The monitoring unit includes a monitoring housing 1, a monitoring lens 6 is disposed inside the monitoring housing 1, a connecting arm 3 is connected to the monitoring housing 1, a monitoring base 2 is connected to the connecting arm 3, a driving component is connected to the monitoring base 2, the driving component drives the connecting arm 3 to move and adjust the position of the monitoring lens 6, and the driving component is connected to the control unit.

[0037] The surface of the monitoring base 2 has a defined slot 4, the connecting arm 3 is disposed within the defined slot 4, and the monitoring housing 1 can cover the surface of the defined slot 4. The lower protruding part of the monitoring housing 1 can be inserted into the defined slot 4. When the drive assembly drives the monitoring housing 1 to move down to the surface of the monitoring base 2, it facilitates the containment of the entire monitoring housing 1, improves its stability, and facilitates the use of the entire monitoring unit outdoors in harsh weather conditions.

[0038] Furthermore, the detection unit includes a rotating outer tube 5 and a rotating inner tube 8. The monitoring lens 6 is disposed inside the rotating outer tube 5 and the rotating inner tube 8. The rotating outer tube 5 and the rotating inner tube 8 are fixedly connected. The rotating outer tube 5 is disposed outside the monitoring housing 1. A bearing assembly 9 and a connecting gear 10 are fixedly connected to the outer surface of the rotating inner tube 8. The rotating inner tube 8 is connected to the inner wall of the monitoring housing 1 through the bearing assembly 9. A detection rod 7 is fixedly connected to the inner wall surface of the rotating outer tube 5. A scale 14 is provided on the surface edge of the monitoring lens 6. The scale 14 is an angle marker. In this embodiment, the monitoring lens 6 is circular, and the surface edge of its lens has an angle marker, which is reflected in the captured image.

[0039] Specifically, the transmission unit includes a wireless transmission module or a wired transmission module. The wireless transmission module can be a ZTE AD38123G module, which has strong wireless connectivity. The wired transmission module transmits signals via a data cable. The control unit includes a control component 15, which is located inside the monitoring housing 1. The control component 15 is connected to the transmission unit and is connected to a drive motor 11. A drive gear 12 is fixedly connected to the drive end of the drive motor 11. The drive gear 12 meshes with the connecting gear 10. The drive gear 12 is connected to a limiting seat 13 to improve the stability of the drive gear 12. The control component 15 contains a DSP, an ARM architecture processor (C6A816X processor), a memory disk, and a microcontroller. The microcontroller here is a typical embedded microcontroller unit, consisting of an arithmetic logic unit (ALU), a controller, a memory, and input / output devices, essentially a miniature computer. Compared to general-purpose microprocessors used in personal computers, it places greater emphasis on self-sufficiency (no external hardware required) and cost savings. Its biggest advantages are its small size, allowing it to be placed inside instruments, but it has limited storage, simple input / output interfaces, and low power consumption. In this embodiment, the microcontroller model is not required.

[0040] It should be noted that, in practical use, this AI-based monitoring method and system can drive the rotating outer pipe 5 to rotate, changing the position of the detection rod 7. The received image is then verified by the back-end computer to determine whether the image displayed on the back-end computer's display unit is a real-time image, further improving the immediacy and security of image transmission. The entire system and method drive the detection unit to move at a randomly selected time. At this time, the control unit controls the detection rod 7 in the detection unit to rotate at a certain angle. The transmission unit transmits the position of the detection rod 7 to the back-end computer. Based on the image displayed on its display unit, the back-end computer determines whether the position of the detection rod 7 in the image is the same as the position of the detection rod 7 transmitted by the transmission unit. This determines whether the image displayed on the back-end computer's display unit is a real-time image, thereby ensuring the security performance of the monitoring system.

[0041] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0042] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "over," and "on top" of the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0043] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms should not be construed as necessarily referring to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0044] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

[0045] The embodiments described above are merely examples of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.

Claims

1. A monitoring system based on artificial intelligence, characterized in that, The system includes, A monitoring unit, configured to collect static or dynamic image information; The control unit is configured to adjust the position of the monitoring unit's acquisition end and control the actions of the detection unit based on the signals transmitted by the transmission unit. The transmission unit is configured to transmit static or dynamic image information collected by the monitoring unit to the display unit of the back-end computer for display. The transmission unit receives control signals transmitted by the back-end computer and outputs the control signals to the control unit. The detection unit is configured to randomly mark static or dynamic image information collected by the monitoring unit; the random marking refers to the addition of random marks to the static or dynamic image information by the control unit at random time points, and the detection unit includes a rotating outer pipe and a rotating inner pipe. The monitoring unit includes a monitoring housing, and a monitoring lens is installed inside the monitoring housing. The position of the monitoring lens can be adjusted. A detection rod is fixedly connected to the inner wall surface of the rotating outer tube. A scale is provided on the surface edge of the monitoring lens. The scale is an angle marker. The rotating outer tube is driven to rotate, changing the position of the detection rod. The monitoring lens is circular, and the surface edge of its lens has an angle marker. The image it captures contains the angle marker. By randomly selecting a time, the detection unit is driven to move. At this time, the control unit controls the detection rod in the detection unit to rotate a certain angle. The transmission unit transmits the position of the detection rod to the background computer. The background computer, based on the screen displayed on its display unit, determines whether the position of the detection rod in the screen is the same as the position of the detection rod transmitted by the transmission unit, thereby determining whether the screen displayed on the background computer is a real-time screen.

2. The monitoring system based on artificial intelligence according to claim 1, characterized in that: The monitoring housing is connected to a connecting arm, the connecting arm is connected to a monitoring base, the monitoring base is connected to a drive assembly, the drive assembly drives the connecting arm to move, and the drive assembly is connected to the control unit.

3. The monitoring system based on artificial intelligence according to claim 2, characterized in that: The surface of the monitoring base is provided with a defined slot, the connecting arm is disposed in the defined slot, the monitoring housing can cover the surface of the defined slot, and the lower protrusion of the monitoring housing can be inserted into the defined slot.

4. The monitoring system based on artificial intelligence according to claim 3, characterized in that: The monitoring lens is installed inside the rotating outer tube and the rotating inner tube. The rotating outer tube and the rotating inner tube are fixedly connected. The rotating outer tube is located outside the monitoring housing. The outer surface of the rotating inner tube is fixedly connected with a bearing assembly and a connecting gear. The rotating inner tube is connected to the inner wall of the monitoring housing through the bearing assembly.

5. The monitoring system based on artificial intelligence according to claim 4, characterized in that: The transmission unit includes a wireless transmission module or a wired transmission module.

6. The monitoring system based on artificial intelligence according to claim 5, characterized in that: The control unit includes a control component disposed inside the monitoring housing. The control component is connected to the transmission unit and a drive motor is connected to it. A drive gear is fixedly connected to the drive end of the drive motor. The drive gear meshes with the connecting gear and is connected to a limiting seat.

7. A monitoring method based on artificial intelligence, characterized in that, The method includes, A monitoring unit, configured to collect static or dynamic image information; The control unit is configured to adjust the position of the monitoring unit's acquisition end and control the actions of the detection unit based on the signals transmitted by the transmission unit. The transmission unit is configured to transmit static or dynamic image information collected by the monitoring unit to the display unit of the back-end computer for display. The transmission unit also receives control signals transmitted by the back-end computer and outputs the control signals to the control unit. The detection unit is configured to randomly mark static or dynamic image information collected by the monitoring unit; the random marking refers to the addition of random marks to the static or dynamic image information by the control unit at random time points. The monitoring unit includes a monitoring housing, and a monitoring lens is installed inside the monitoring housing. The position of the monitoring lens can be adjusted. The detection unit includes a rotating outer tube and a rotating inner tube; A detection rod is fixedly connected to the inner wall surface of the rotating outer tube. A scale is provided on the surface edge of the monitoring lens. The scale is an angle marker. The rotating outer tube is driven to rotate, changing the position of the detection rod. The monitoring lens is circular, and the surface edge of its lens has an angle marker. The image it captures contains the angle marker. By randomly selecting a time, the detection unit is driven to move. At this time, the control unit controls the detection rod in the detection unit to rotate a certain angle. The transmission unit transmits the position of the detection rod to the background computer. The background computer, based on the screen displayed on its display unit, determines whether the position of the detection rod in the screen is the same as the position of the detection rod transmitted by the transmission unit, thereby determining whether the screen displayed on the background computer is a real-time screen. The method further includes that, when the monitoring unit is working continuously, the control unit controls the detection unit to act at random times and transmits the action information of the detection unit to the background computer. The background computer verifies whether the mark position of the screen in its display unit is consistent with that transmitted by the transmission unit. If they are consistent, the computer outputs a signal to the control unit, and the control unit controls the detection unit to reset. If they are inconsistent, an alarm is issued.

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