KR20200133426A - Self-Powered SDN Fusion Mobile Ad-hoc Based Mobile Intelligent Video Surveillance System - Google Patents

Abstract

The present invention relates to a mobile intelligent image monitoring system based on self-powered SDN fusion mobile ad-hoc. The mobile intelligent image monitoring system may include a mobile intelligent image monitoring device including a self-powered module and forming a network based on mobile ad-hoc, wherein the network based on the mobile ad-hoc performs redundancy control by converging software-defined networking (SDN).

Description

Self-Powered SDN Fusion Mobile Ad-hoc Based Mobile Intelligent Video Surveillance System}

The present invention relates to a video surveillance system, and more particularly, to a mobile intelligent video surveillance system capable of self-powered and based on SDN convergence mobile ad-hoc.

Currently, video surveillance devices such as CCTV cameras are networked, 3D is implemented, thermal image detection functions, etc. are mounted, and they are being developed to realize ultra-high resolution. In particular, with the introduction of deep learning technology using image big data in recent years, pedestrian detection and tracking, and situation recognition performance have been remarkably improved.

However, as equipment and technology become more complex and diversified, dependence on infrastructure such as fast network speed and stable power supply is increasing. Disaster areas, construction sites, orchards, farms, farms, outdoor events, etc. When a video surveillance device is to be used in an area where the basic infrastructure is limited, which is not required much, high functionality of the video surveillance device as described above becomes a problem.

Therefore, the demand for video surveillance support that can be easily used in areas with limited basic infrastructure as described above continues, and even if the basic infrastructure is not in a limited area, there is no change in physical environment such as camera cables when changing the surveillance location. Since it is easy to move and expand the video device freely, the demand for a video surveillance device with convenience continues.

The present invention is proposed to solve the above problems, and supports mobility by self-powered, and supports scalability by being formed based on a mobile ad-hoc network, but mobile ad-hoc is made up of SDN convergence and continues to video even in emergency situations. The purpose of this is to provide a mobile intelligent video surveillance system that supports high availability that allows the camera to be photographed, and supports intelligent and real-time object recognition through edge cloud and micro cloud.

The mobile intelligent video surveillance system based on SDN convergence mobile ad-hoc capable of self-powered according to an embodiment of the present invention for solving the above problems includes a self-powered module and provides a mobile ad-hoc-based network. However, the mobile ad-hoc-based network may include a mobile intelligent video surveillance value that performs redundancy control by fusion of SDN (Software-Defined Networking).

Here, the mobile intelligent video surveillance system may further include an edge cloud node supporting real-time object recognition using a GPU-based deep learning algorithm.

In addition, the mobile intelligent video surveillance system may further include a storage for storing image data and a micro cloud node supporting real-time artificial intelligence object recognition.

In addition, the mobile intelligent video surveillance device further includes an angle adjustment member capable of adjusting the direction in multiple angles, and the angle adjustment member forms a guide groove in all directions at an intersection with the center of the upper end, and the mobile intelligent video surveillance at the bottom A spherical body on which the device is mounted; An angle adjustment shaft inserted into the guide groove to move along the guide groove; A departure prevention plate formed with a diameter larger than the intersection point so that the angle adjustment shaft does not deviate from the body and coupled to the angle adjustment shaft inside the body; A variable shaft provided with a rotation driving device and an axial movement device inside the angle adjustment shaft and capable of rotating and axial movement, and having a rotation gear coupled at an end thereof; The length is formed in all directions to correspond to the formation direction of the guide groove, but is formed in an arcuate shape so as to form the same curvature as the curvature of the body, and is fixed inside the body so as to be embedded in the body, and rotates by engaging the rotation gear. It may include a fixed rack size gear having gear teeth formed along the length of the upper surface so as to perform linear movement when the gear rotates, and a fixture provided at the upper end of the angle adjustment shaft and fixed to a structure or wall.

In addition, in the form of a rectangular fixture base, a square groove is provided at the vertex and a circular hole is formed at the center point, and the square fixture base is divided into four to form a divided fixture base, and the split body The fixture base may be formed in a structure connected by an elastic joint line with variable diameter.

In addition, the mobile intelligent video surveillance system further includes a motion detection sensor that is provided around the installation location of the mobile intelligent video surveillance device and transmits a motion detection signal to the mobile intelligent video surveillance device when motion is detected, and one When motion is detected in a direction other than the direction being photographed by the mobile intelligent video surveillance device, the shooting position is adjusted so that other mobile intelligent video surveillance devices without surrounding motion detection monitor the direction in which the motion is detected to minimize the video surveillance shadow area. can do.

The mobile intelligent video surveillance system capable of self-powered according to an embodiment of the present invention and based on SDN convergence mobile ad-hoc can support mobility, scalability, high availability, and intelligent real-time object recognition, so that basic infrastructure such as power and communication It can be easily used even in a limited situation, and even when the monitoring location is changed, the video surveillance value can be freely moved and expanded without changing the physical environment such as camera cables, and the video surveillance can be continuously monitored even in an emergency situation. , In addition, there is an effect of supporting a high-level communication environment and reliable electricity supply.

In addition, the mobile intelligent video surveillance system capable of self-powered and based on SDN fusion mobile ad-hoc according to an embodiment of the present invention is formed in a structure that minimizes the video surveillance shadow area of the video surveillance device to increase the reliability of video surveillance. It can have an effect.

1 is a block diagram of a self-power supply module according to an embodiment of the present invention.
2 is a diagram schematically illustrating a connection of a mobile intelligent video surveillance apparatus according to an embodiment of the present invention.
3 is a configuration diagram of an edge cloud node according to an embodiment of the present invention.
4 is a block diagram of a micro cloud node according to an embodiment of the present invention.
5 is a block diagram of an integrated image management module according to an embodiment of the present invention.
6 is a perspective view of an angle adjusting member according to an embodiment of the present invention.
7 is a view showing the internal configuration by cutting the body of the angle adjusting member of FIG. 6.
8A to 8D are views for explaining a method of operating the angle adjusting member.
9 is an exemplary view of a guide groove cover provided to minimize exposure of components of the angle adjusting member of FIG. 6.
10A to 10D are exemplary views of the use of a fixture that can be deformed according to the shape of a cylinder of various diameters or a square pillar of various areas.
11 is a diagram for explaining a method of minimizing an image monitoring shadow area by using a motion detection sensor.

Hereinafter, the description of the present invention with reference to the drawings is not limited to a specific embodiment, and various transformations may be applied and various embodiments may be provided. In addition, the content described below should be understood to include all conversions, equivalents, and substitutes included in the spirit and scope of the present invention.

In the following description, terms such as first and second are terms used to describe various elements, and their meanings are not limited thereto, and are used only for the purpose of distinguishing one element from other elements.

The same reference numbers used throughout this specification denote the same elements.

Singular expressions used in the present invention include plural expressions unless the context clearly indicates otherwise. In addition, terms such as "include", "include" or "have" described below are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification. It is to be construed as not to preclude the possibility of addition or presence of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms as defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted as an ideal or excessively formal meaning unless explicitly defined in this application. Does not.

In addition, in the description with reference to the accompanying drawings, the same reference numerals are assigned to the same components regardless of the reference numerals, and redundant descriptions thereof will be omitted. In describing the present invention, when it is determined that a detailed description of related known technologies may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted.

Hereinafter, a mobile intelligent video surveillance system based on an SDN fusion mobile ad-hoc capable of self-powered according to an embodiment of the present invention will be described in detail based on the accompanying drawings, and a specific embodiment will be described together.

1 is a block diagram of a self-power supply module according to an embodiment of the present invention, FIG. 2 is a schematic diagram of a connection of a mobile intelligent video surveillance device according to an embodiment of the present invention, and FIG. 3 is an implementation of the present invention. A configuration diagram of an edge cloud node according to an example, FIG. 4 is a configuration diagram of a micro cloud node according to an embodiment of the present invention, and FIG. 5 is a configuration diagram of an integrated image management module according to an embodiment of the present invention.

1 to 5, the present invention relates to an intelligent video surveillance system that supports mobility, scalability, high availability, and real-time object recognition, and includes a self-powered module to support mobility, scalability, and high availability. And form a mobile ad-hoc-based network, but the mobile ad-hoc-based network is a mobile intelligent video surveillance device (10, hereinafter referred to as'video surveillance) that performs redundancy control by fusion of SDN (Software-Defined Networking). (Referred to as'device') may be included.

More specifically, in the present invention, the image monitoring device 10 may include a self-powered module 12 to ensure the mobility of the image monitoring device. Here, the self-powered module 12 is a self-powered device 12-1 that performs power generation by receiving natural energy as an energy source, that is, a solar power generation device or a wind power generation device, and It is connected to the storage battery 12-2 and the storage battery 12-2 to store electricity generated from the power generation device 12-1 to monitor the electricity of the storage battery 12-2 or the self-powered device 12-1. It may include a power supply module (12-3) supplied to the device.

This self-powered module 12 is a standalone system, and while solar or wind power generation is possible, electricity is first stored with the storage battery 12-2 and then supplied to the power supply module 12-3. It can be used, and when solar power generation or wind power generation is not possible, electricity of the stored storage battery 12-2 can be used.

In addition, even if only one video surveillance device 10 is provided, it is preferable that a plurality of video surveillance devices are provided. When multiple video surveillance devices are provided, a gateway video surveillance device that acts as a gateway to access the Internet by connecting to a public network ( 10a) and a terminal video surveillance device 10b connected to a private network of a mobile ad-hoc.

The gateway video surveillance device 10a connects the video stream data transmitted from the private network of the mobile ad hoc to the Internet network through the LTE router modem 16, thereby transmitting the video stream to the micro cloud node 30 or the user's mobile device. The communication module 14 can be configured with a Wifi module.

However, the communication module 14 is not limited to an example, and it is natural that all other communication modules that are commercially available now or to be used in the future may also be applied.

The terminal video monitoring apparatus 10b can transmit video stream data by automatically connecting to a surviving ad-hoc node when an emergency situation occurs by dualizing communication modules such as a Wifi module into two.

The video surveillance device 10 comprising the gateway video surveillance device 10a and the terminal video surveillance device 10b as described above has a storage medium in itself to store images for a certain period of time, and can shoot both day and night. An infrared module or the like may be provided so as to be, and may be configured to be rotated by 360°, and may be formed to enable multi-photography including a multi-image module.

That is, the present invention as described above can provide mobility through the self-power supply module 12, and can provide scalability by forming a mobile ad-hoc-based network.

In addition, according to the present invention, in order to support high availability, a mobile ad-hoc-based network of the video surveillance apparatus 10 may perform redundancy control by fusion of SDN (Software Defined Networking).

Specifically, in order to duplicate the network by converging SDN, all the video surveillance devices 10 must be basically connected to the network. To this end, the present invention connects all Wifi ports of the video surveillance device 10 to a private network using a mobile ad-hoc routing protocol, and NAT (Network Network) of the gateway video surveillance device 10a in order to connect the private network to the Internet network. address translation) can be used. Here, as the mobile ad hoc routing protocol, protocols such as OLSR, Babel, DSDV, DREAM, and BATMAN may be used, but are not limited thereto.

The ports of the private network are connected to OVS (OpenvSwitch) and can be formed to control the data plane according to the control plane of the SDN, and through this, the mobile ad-hoc network can be redundant to support high availability. will be.

In addition, the present invention may further include an edge cloud node 20 and a micro cloud node 30 to support real-time object recognition.

First, the edge cloud node 20 may support real-time object recognition using a GPU-based deep learning algorithm.

Specifically, the edge cloud node 20 may be composed of edge cloud hardware 22 and software 24, and the edge cloud hardware 22 has a built-in GPU as shown in FIG. 3(a). It is composed of a small server, and the edge cloud software 24 includes an SDN controller module 24a, a video stream storage module 24b, and real-time object recognition as shown in (c) to (f) of FIG. 3(b). The module 24c and the recognition object alarm module 24d may be configured as an independent server module that is LXD containerized.

By developing each module as a containerized independent server module as described above, the server resources of the edge cloud nodes can be shared and used, and there is an advantage in that the server resources can be flexibly used.

Here, the SDN controller module 24a may be formed of a controller such as ONOS, OpenDAylight, Ryu, etc., but is not limited to an example, and Java, Phython, C, etc. to control the OVS of the video surveillance device 10 Can be formed in the language of

The video stream storage module 24b is a module that stores an image transmitted from the image monitoring apparatus 10, and can recognize an object of an image by storing the image and transmitting the image to the real-time object recognition module 24c.

The real-time object recognition module 24c may be formed so that a network of a convolutional neural network (CNN) can extract features at once, create a bounding box, and classify classes in order to recognize an object in real time. To this end, it can be formed to improve the redundant object box and extract only one bounding box by using the Grid method and the NMS (Non-maximal Suppression) algorithm.

In addition, the real-time object recognition module 24c may support the storage of metadata and stream images from occurrence of a specific event to the end of an event when recognizing an object, and may be utilized in a business model.

The recognition object alarm module 24d may be formed to inform a user using a message API of the recognized object.

The micro cloud node 30 It can be formed to support storage for image data storage and real-time AI object recognition.

To this end, the hardware 32 of the micro-cloud node 30 includes a micro-cloud storage cluster node 32a for storing image data and an artificial intelligence for supporting artificial intelligence object recognition, as shown in FIG. 4A. It may be configured as a micro-cloud node 32b. Here, three micro-cloud storage cluster nodes 32a are shown in the drawing, but this is not limited to a preferred form, and may be provided in one or more.

In addition, the software 34 of the micro-cloud node 30 is a video storage module 34a, a real-time object recognition multi-module 34b, and an integrated image information management module as shown in (d) to (g) of FIG. 4(b). (34c), it may be composed of a multi-object recognition alarm module (34d), each module may be formed as an independent server module LXD containerized.

In this way, when containerized, the server resources of the artificial intelligence micro-cloud node 32b can be pooled and used, so that the server resources can be flexibly used.

The video storage module 34a can support high-capacity block storage of Ceph-based micro-cloud storage by containerizing it on the artificial intelligence micro-cloud node 32b, and the micro-cloud storage can use an Abyss storage-based system. However, this is not limited to an example, and it is natural that the type of storage may be formed differently.

The real-time object recognition multi-module 34b is a multi-modularized real-time object recognition module 24c of FIG. 3(e), and can recognize an object in real time from multiple sources. To this end, passthrough technology was applied to each containerized real-time object recognition module 34b by mounting a plurality of GPUs on the artificial intelligence micro-cloud node 32b.

Through this configuration, when recognizing a multi-channel image object, the micro-cloud node 30 supports multi-channel metadata and multi-channel stream image storage from the occurrence of a specific event to the end of the event so that it can be used in a business model.

The image information integrated management module 34c may include a storage server 34c-1, a database server 34c-2, and a web server 34c-3.

Here, the storage server 34c-1 may store video surveillance information in the micro-cloud storage cluster node 32a using the video storage module 34a of FIG. 4D, and the database server 34c-2 May store meta information of the image transmitted from the video monitoring device 10, and the web server 34c-3 may support an integrated video information management web user interface.

To this end, the database server 34c-2 may use various databases such as MariaDB, MySQL, Cassandra, HBase, and MongoDB, and the web server 34c-3 is a web server such as Apache HTTP server, nginx, node.js, etc. It can be composed of, and can be composed of languages such as java, python, and php.

However, the configuration of the database server 34c-2, the web server 34c-3, and the language described above is not limited to an example, and it is natural that those not described may be used.

The multi-object recognition alarm module 34c-3 is formed based on a messenger server, and a dedicated messenger server can be built to prevent the consumption of server resources from increasing as the number of messengers increases. It is formed to provide a message, and the API of an existing messenger can be used.

The mobile intelligent video surveillance system based on the SDN convergence mobile ad-hoc capable of self-powered according to the embodiment of the present invention configured as described above may use different configurations depending on a situation where basic infrastructure such as power and communication is insufficient.

For example, in a limited situation of the wired network and power supply, only the self-powered module 12 and the video surveillance device 10 formed based on the SDN fusion mobile ad-hoc can be used. Self-powered module (12), SDN convergence mobile ad hoc base, edge cloud node (20) can be used, and in situations where wired network and power supply is possible, self power supply module (12), SDN convergence mobile ad hoc base , It can be used by utilizing the edge cloud node 20 and the micro cloud node 30.

Through this, the present invention can be easily used even in a situation where basic infrastructure such as power and communication is limited, and even when the monitoring location is changed, the video surveillance value can be freely moved and expanded without changing the physical environment such as camera cables, It has the effect of being able to continuously monitor video even in emergency situations.

In addition, there is an effect of supporting a high level of communication environment and reliable electricity supply.

On the other hand, the mobile intelligent video surveillance system, which is a component of the mobile intelligent video surveillance system based on the SDN fusion mobile ad-hoc capable of self-powered according to an embodiment of the present invention, further includes an angle adjusting member 40 for direction adjustment from multiple angles. It can be configured. This will be described with reference to FIGS. 6 to 10.

6 is a perspective view of an angle adjustment member according to an embodiment of the present invention, FIG. 7 is an internal configuration diagram viewed by cutting the body of the angle adjustment member of FIG. 6, and FIGS. 8A to 8D illustrate a method of operating the angle adjustment member. It is a view for explaining, and FIG. 9 is an exemplary view of a guide groove cover provided to minimize exposure of the components of the angle adjusting member of FIG. 6, and FIGS. 10A to 10D are cylinders of various diameters or various areas It is an example of the use of a fixture that can be deformed according to the shape of the square pillar of.

6 to 10, the angle adjustment member 40 forms a guide groove 41a in all directions at an intersection with the center of the upper end, and a spherical body 41 on which the mobile intelligent video surveillance device is mounted below and , The angle adjustment shaft 42 inserted into the guide groove 41a so as to move along the guide groove 41a, and the angle adjustment shaft 42 are formed with a diameter larger than the intersection point so as not to be separated from the body 41 It is provided with a separation prevention plate 43 coupled to the angle adjustment shaft 42 inward, and a rotation drive device 44 and an axial movement device 45 inside the angle adjustment shaft 42 to rotate and move in the axial direction. The length is formed in all directions so as to correspond to the direction of formation of the variable shaft 46 to which the rotation gear 47 is coupled and the guide groove 41a at the end, but forms the same curvature as the curvature of the body 41 Each end is fixed inside the body 41 so as to be embedded in the body 41, and the rotary gear 47 along the length of the upper surface so that it can linearly move when the rotary gear 47 is rotated. The corresponding gear teeth (48a) of the fixed rack size gear 48 is formed to mesh with the rotating gear 47, and the fixing body 50 provided on the top of the angle adjustment shaft 42 and fixed to the structure or wall. It can be configured to include.

That is, referring to FIGS. 8A to 8D, the fixed rack size gear 48 engaged with the rotation gear 47 has a structure that rotates in a curvature direction according to the rotation of the rotation gear 47, but the fixed rack size gear ( 48) is connected to the body 41 so that it rotates in the curvature direction like the body 41, and the rotation gear 47 uses the lifting and rotating operation of the angle adjusting shaft 42 to rotate the direction after lifting. After the conversion, it is possible to change the direction of rotation of the curvature of the body 41 by engaging with the fixed rod size gear 48 again.

In other words, when you want to adjust the direction of the mobile intelligent video surveillance device 10 while the angle adjustment shaft 42 is raised and lowered, the angle adjustment shaft 42 first rotates from the axis center to rotate the rotation gear 47 to the body. After aligning with the direction of the fixed rack size gear 48 that forms the length in the direction in which the (41) is curved and rotated, the angle adjustment shaft 42 is lowered to match the intersection formed at the top end of the fixed rack size gear 48 and driven If so, the body 41 can be rotated by linearly moving the fixed rod size fish 48 along the curvature.

Here, when the angle adjustment shaft 42 is rotated about the axis in a state in which the fixed rod size gear 48 and the rotating gear 47 are engaged, the body 41 may be rotated 360° to the left/right side. Through the angle adjusting member 40 having such a structure, the mobile intelligent video surveillance apparatus 10 of the present invention can exhibit the advantage of minimizing the surveillance shadow area by rotating at multiple angles.

On the other hand, although not described in the drawings, the rotary gear 47 is provided with a motor for rotation, and the fixed rack size gear 48 is separated from the side along each length direction to prevent the rotation gear 47 from being separated. A prevention film or the like may be formed, and a stopper for limiting adjustment of the body 41 may be provided at an end of the fixed rack size 48 in the longitudinal direction.

In addition, as shown in FIG. 9, a guide groove cover 49 may be provided to minimize exposure of the guide groove 41a.

In addition, in the above, the fixture 50 is formed with a bolt fastening hole 50a and can be fastened to a fixture or wall, but on the other hand, a fixture that can be deformed according to the shape of a cylinder of various diameters or square pillars of various areas. It can be formed as 50.

To this end, the fixture 50 has a square groove 52 at the vertex in the form of a square fixture base 51, and a circular hole 53 is formed at the center point, and the square fixture base 51 is It is divided into quarters to form four divided fixture bases 51a, and the four divided fixture bases 51a may be formed in a structure connected by elastic joints 54 capable of varying diameters.

Looking at the use of such a fixture 50, first, when formed to form a circular hole 53 in the center as shown in Figure 10 (a), it can be fixed to a column-shaped post, etc. Here, the circular hole 53 Even if the diameter of) is smaller than the cylinder, the diameter can be changed, that is, it can be easily inserted into the cylinder by changing the diameter as shown in Fig. 10 (b) through the elastic joint 54, which is stretched. Due to the elastic force, it can be fixed in close contact with the cylinder.

In addition, when it is intended to be used for a square column type column other than a cylindrical column type column, the joint line 54 as shown in FIG. 10(c) after pulling each divided fixture base outward as shown in FIG. 10(b). When rotating in the oblique direction using the rotation axis, four square grooves 52 are gathered at the center to form a large square groove 52a. After being inserted into the square pillar, the square due to the elastic force of Fig. 10(d) and the joint line 54 It can be fixed in close contact with the pillar.

In addition, at least one bolt fastening hole 50a may be provided in each divided fixture base 51a to be fastened to a fixture or wall.

Through this, since the mobile intelligent video surveillance device 10 of the present invention can be used in combination with various types of structures, walls, pillars, etc., there is an advantage of further improving mobility.

In addition, the mobile intelligent video surveillance system based on SDN fusion mobile ad-hoc capable of self-powered according to an embodiment of the present invention may further include a plurality of motion detection sensors 60.

11 is a diagram for explaining a method of minimizing an image monitoring shadow area by using a motion detection sensor.

Referring to FIG. 11, a plurality of motion detection sensors 60 are provided around each installation position of a mobile intelligent video surveillance device, so that movement of a person or an animal can be detected in all directions. In addition, the plurality of motion detection sensors 60 may be interlocked with the mobile intelligent video monitoring device 10 to transmit a motion detection signal.

Through this, the plurality of motion detection sensors 60 can detect movement in a direction opposite to the direction in which the one mobile intelligent video monitoring device 10 is photographing, that is, a shadow area for video surveillance, and the motion for a shadow area for video surveillance When this is detected, it is difficult for one mobile intelligent video surveillance device 10 to shoot two places, so by using another mobile intelligent video surveillance device 10 in which the surrounding motion is not detected, it is adjusted to shoot a shadow area for video surveillance. It is possible to minimize the shadow area of video surveillance.

More specifically, as shown in FIG. 11, when there are four image monitoring devices 10-1 to 10-4, and a plurality of motion detection sensors 60 are installed around each image monitoring device 10, one image The monitoring device 10-1 may take a picture in the direction A in which movement of a person or an animal is detected.

For this reason, one image monitoring device 10-1 may have an image monitoring shaded area (B) that is opposite to the photographing direction (A). At this time, if motion is detected in the image monitoring shaded area (B), the one image monitoring device (10-1) Motion is detected in two places (A, B) in the vicinity, but it is difficult to shoot two places (A, B) with only one video surveillance device (10-1). Video surveillance shadows by adjusting the shooting position to monitor the direction (B) in which the motion is detected by using the video surveillance device (10-2) in which the surrounding motion is not detected among the monitoring devices (10-2 to 10-4) Area (B) can be minimized.

Here, if there are a plurality of video surveillance devices in which the surrounding motion is not detected, a clearer and more accurate image can be obtained by allowing the video surveillance device nearest to one video surveillance device 10-1 to adjust the photographing position.

Although the embodiments of the present invention have been described above with reference to the accompanying drawings, it will be understood that the present invention can be implemented in other specific forms by those of ordinary skill in the art. Therefore, the embodiments described above are illustrative and non-limiting in all respects.

10: video surveillance device
10a: Gateway video surveillance device
10b: terminal video surveillance device
12: Self-powered module
12-1: Self-powered device
12-2: storage battery
12-3: Power supply module
14: communication module
16: router modem
20: edge cloud node
30: micro cloud node
40: angle adjustment member
41: body
41a: Guide groove
42: angle adjustment shaft
43: departure prevention plate
44: rotation drive device
45: axial movement device
46: variable axis
47: rotating gear
48: fixed rat size fish
48a: gear teeth
49: guide groove cover
50: fixture
50a: bolt fastening hole
51: fixture base
51a: Split fixture base
52: square groove
53: round hole
54: joint line
60: motion detection sensor

Claims (6)

A mobile ad-hoc-based network is formed including a self-powered module, and the mobile ad-hoc-based network is a mobile intelligent video surveillance system that performs redundancy control by fusion of SDN (Software-Defined Networking). Mobile intelligent video surveillance system based on SDN convergence mobile ad-hoc that can be self-powered, including.
The method of claim 1,
Mobile intelligent video surveillance system based on SDN convergence mobile ad-hoc capable of self-powered further including edge cloud nodes that support real-time object recognition using GPU-based deep learning algorithms.
The method of claim 1,
A mobile intelligent video surveillance system based on SDN convergence mobile ad hoc that can be powered by a self-powered device that further includes storage for video data storage and a micro cloud node that supports real-time AI object recognition.
The method of claim 1,
The mobile intelligent video surveillance device further includes an angle adjusting member capable of adjusting the direction in multiple angles,
The angle adjustment member,
A spherical body forming a guide groove in all directions at an intersection with the center of the upper end, and on which the mobile intelligent video surveillance device is mounted below;
An angle adjustment shaft inserted into the guide groove to move along the guide groove;
A departure prevention plate formed with a diameter larger than the intersection point so that the angle adjustment shaft does not deviate from the body and is coupled to the angle adjustment shaft inside the body;
A variable shaft provided with a rotation driving device and an axial movement device in the angle adjustment shaft and capable of rotating and axial movement, and a rotation gear coupled to an end thereof;
The length is formed in all directions to correspond to the formation direction of the guide groove, but is formed in an arcuate shape so as to form the same curvature as the curvature of the body, and is fixed inside the body so as to be embedded in the body, and rotates by engaging the rotation gear. A fixed rack size gear in which gear teeth are formed along the length of the upper surface to enable linear motion when the gear rotates, and
A mobile intelligent video surveillance system based on SDN convergence mobile ad-hoc capable of self-power supply including a fixture that is provided on the top of the angle adjustment shaft and fixed to a structure or wall.
The method of claim 4,
The fixed body,
In the form of a rectangular fixture base, a square groove is provided at the vertex and a circular hole is formed at the center point, and the square fixture base is divided into quarters to form a divided fixture base, and the split fixture base has a variable diameter. Mobile intelligent video surveillance system based on SDN convergence mobile ad hoc capable of self-power supply, characterized in that it is formed in a structure connected by elastic joints as possible.
The method of claim 1,
A plurality of motion detection sensors are provided around the installation location of the mobile intelligent video surveillance device and transmit a motion detection signal to the mobile intelligent video surveillance device when motion is detected,
When motion is detected in a direction other than the direction in which one mobile intelligent video surveillance device is being photographed, another mobile intelligent video surveillance device without surrounding motion detection adjusts the shooting position to monitor the direction in which the motion is detected, and the video surveillance shadow area SDN convergence mobile ad-hoc-based mobile intelligent video surveillance system capable of self-power supply, characterized in that to minimize.

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