Security protection and road lighting intelligent scheduling method and system based on Internet of Things

Abstract

The invention is suitable for the field of road monitoring illumination, and provides a security protection and road illumination intelligent scheduling method and system based on the Internet of Things, and the method comprises the steps: collecting and recognizing a video stream of targeted security protection equipment at regular time, and generating a recognition comparison result; generating a tracking positioning instruction and an alarm instruction based on the identification comparison result; tracking and positioning the real-time position information of the target object based on the tracking and positioning instruction; acquiring real-time position information of a target object, matching a target lighting device and sending a lighting scheduling instruction; according to the method and the system, through efficient security and protection monitoring and real-time tracking and positioning, the system can quickly respond to various emergencies and timely lock and track a specific target, the target object is illuminated through a directional illumination light-following function, and the target object can be conveniently and rapidly tracked. And the monitoring environment at night or under a low-light condition is improved, and the monitoring capability of the security and protection system is further enhanced.

Description

Technical Field

[0001] The present invention belongs to the field of road monitoring lighting, and in particular to a security and road lighting intelligent scheduling method and system based on the Internet of Things. Background Art

[0002] With the rapid development and popularization of Internet of Things (IoT) technology, intelligent security and road lighting systems have become an important means to improve urban safety and traffic efficiency.

[0003] Traditional security systems and road lighting control mostly use wired communication, which has problems such as high cost, complex maintenance, and low intelligence. In addition, these systems often operate independently, unable to achieve cross-system data sharing and intelligent scheduling, and difficult to meet the needs of modern cities for security management. In view of the above problems, it is urgent to develop a security and road lighting intelligent scheduling method and system based on the Internet of Things. Summary of the invention

[0004] The purpose of the present invention is to provide a security and road lighting intelligent scheduling method and system based on the Internet of Things, aiming to solve the problems raised in the above background technology.

[0005] The present invention is implemented in this way. On the one hand, a security and road lighting intelligent scheduling method based on the Internet of Things comprises:

[0006] Regularly collect and identify the video stream of targeted security equipment and generate identification and comparison results;

[0007] Generate tracking and positioning instructions and alarm instructions based on the identification and comparison results;

[0008] Based on the tracking and positioning instructions, track and locate the target object;

[0009] Obtain the real-time location information of the target object, match the targeted lighting equipment and send lighting scheduling instructions;

[0010] Synchronously determine the real-time location information of the target object and update the target lighting equipment.

[0011] As a further solution of the present invention, the timed acquisition and identification of the targeted security equipment video stream and the generation of the identification and comparison results specifically include:

[0012] Acquire and store targeted security equipment video streams;

[0013] Decompose the targeted security equipment video stream into several image frames;

[0014] Recognize facial information in several image frames;

[0015] Determine whether there are abnormal human faces in the face information of several image frames;

[0016] If there are abnormal human faces in the facial information of several image frames, a comparison confirmation instruction is generated.

[0017] As a further solution of the present invention, the tracking and positioning of the target object based on the tracking and positioning instruction specifically includes:

[0018] Search and compare to confirm whether the instruction exists;

[0019] If the comparison confirmation instruction exists;

[0020] Obtain abnormal human images in several image frames and mark the target objects;

[0021] Acquire the target feature points of the target object;

[0022] Matching the target feature points of the target object in adjacent image frames;

[0023] Calculate the displacement vector of the target feature point in adjacent image frames, generate a target tracking label and add a target tracking label to the target object.

[0024] As a further solution of the present invention, the acquisition of real-time position information of the target object, matching the target lighting equipment and sending the lighting scheduling instruction specifically includes:

[0025] Collect the real-time location information of the target object and generate the target circular range;

[0026] Obtaining location information of several intelligent road lighting devices within the target circular range;

[0027] Calculate the straight-line distance between the real-time position information of the target object and the position information of several intelligent road lighting devices;

[0028] Select the intelligent road lighting device with the smallest straight-line distance value and mark it as the targeted lighting device;

[0029] Read the target tracking tag and obtain the target tracking tag location.

[0030] Generate beam tracking instructions based on the target tracking tag position.

[0031] As a further solution of the present invention, the synchronous determination of the real-time position information of the target object and the updating of the target lighting device specifically include:

[0032] Obtaining the location information of the targeted lighting device and generating a targeted circular range;

[0033] Determine whether the position of the target tracking tag is within the target circular range;

[0034] If the location of the targeted tracking tag is not within the targeted circular range, update and upload the real-time location information of the targeted object.

[0035] As a further solution of the present invention, on the other hand, a security and road lighting intelligent scheduling system based on the Internet of Things, the system includes:

[0036] The acquisition and identification module is used to regularly acquire and identify the video stream of targeted security equipment;

[0037] A first generating module, used to generate recognition comparison results;

[0038] The second generation module generates tracking and positioning instructions and alarm instructions based on the recognition and comparison results;

[0039] A tracking and positioning module, used to track and locate a target object based on a tracking and positioning instruction;

[0040] An acquisition module is used to obtain the real-time location information of the target object;

[0041] A matching module, used to match the targeted lighting equipment and send lighting scheduling instructions;

[0042] A synchronization module, used to synchronously determine the real-time position information of the target object;

[0043] Update module for updating the targeting lighting device.

[0044] As a further solution of the present invention, the acquisition and identification module specifically includes:

[0045] An acquisition storage unit is used to acquire and store a targeted security device video stream;

[0046] A decomposition unit, used for decomposing a targeted security device video stream into a plurality of image frames;

[0047] A recognition unit, used for recognizing face information in a plurality of image frames;

[0048] A judging unit, used for judging whether there is an abnormal human image in the face information of a plurality of image frames;

[0049] The first generating unit is used to generate a comparison confirmation instruction if there is an abnormal human image in the facial information of a plurality of image frames.

[0050] As a further solution of the present invention, the tracking and positioning module specifically includes:

[0051] A search and comparison unit, used for searching and comparing to confirm whether the instruction exists;

[0052] A first acquisition unit, configured to acquire abnormal human images in a plurality of image frames if a comparison confirmation instruction exists;

[0053] A labeling unit, used for labeling a targeted object;

[0054] A second acquisition unit is used to acquire a target feature point of the target object;

[0055] A matching unit, used for matching target feature points of a target object in adjacent image frames;

[0056] A calculation unit, used for calculating a displacement vector of a target feature point in adjacent image frames;

[0057] The second generating unit is used to generate a targeting tracking tag and add the targeting tracking tag to the targeted object.

[0058] The Internet of Things-based security and road lighting intelligent scheduling method and system provided by the present invention realizes all-weather, no-dead-angle monitoring of the set area by regularly collecting and identifying the video stream of the security camera equipment. Through efficient security monitoring and real-time tracking and positioning, the system can quickly respond to various emergencies, timely lock and track specific targets, and improve public security capabilities. The directional lighting chasing function not only illuminates the target object, but also improves the monitoring environment at night or in low light conditions, further enhancing the monitoring capabilities of the security system. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is the main flow chart of the intelligent scheduling method of security and road lighting based on the Internet of Things.

[0060] Figure 2 It is a flow chart for periodically collecting and identifying the video stream of targeted security equipment and generating recognition and comparison results in the intelligent scheduling method of security and road lighting based on the Internet of Things.

[0061] Figure 3 It is a flow chart of tracking and locating a target object based on tracking and positioning instructions in a security and road lighting intelligent scheduling method based on the Internet of Things.

[0062] Figure 4 It is a flow chart of obtaining the real-time location information of the target object, matching the target lighting equipment and sending the lighting scheduling instructions in the intelligent scheduling method of security and road lighting based on the Internet of Things.

[0063] Figure 5 It is a flowchart for synchronously judging the real-time location information of the target object and updating the targeted lighting equipment in the intelligent scheduling method of security and road lighting based on the Internet of Things.

[0064] Figure 6 This is the main structure diagram of the security and road lighting intelligent scheduling system based on the Internet of Things.

[0065] Figure 7 It is a structural block diagram of the acquisition and identification module in the security and road lighting intelligent scheduling system based on the Internet of Things.

[0066] Figure 8 It is a structural block diagram of the tracking and positioning module in the security and road lighting intelligent scheduling system based on the Internet of Things. DETAILED DESCRIPTION

[0067] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0068] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0069] The security and road lighting intelligent scheduling method and system based on the Internet of Things provided by the present invention solve the technical problems in the background technology.

[0070] like Figure 1 As shown, it is a main flow chart of a security and road lighting intelligent scheduling method based on the Internet of Things provided by an embodiment of the present invention, and the security and road lighting intelligent scheduling method based on the Internet of Things includes:

[0071] Step S100: regularly collecting and identifying the targeted security equipment video stream, and generating identification and comparison results;

[0072] Step S200: Generate tracking and positioning instructions and alarm instructions based on the identification and comparison results;

[0073] Step S300: Tracking and locating the target object based on the tracking and positioning instruction;

[0074] Step S400: Acquire the real-time location information of the target object, match the target lighting equipment and send a lighting scheduling instruction;

[0075] Step S500: synchronously determine the real-time position information of the target object and update the target lighting device;

[0076] When this embodiment is applied, in the strictly controlled area, several intelligent road lighting devices are installed at equal intervals, and several intelligent road lighting devices are connected to the Internet of Things, and each intelligent road lighting device is installed with a security camera device, and each intelligent road lighting device can perform directional lighting and light chasing. The light chasing range of each intelligent road lighting device is fixed, and the recording range of the security camera device installed on each intelligent road lighting device is fixed. The recording range of several security camera devices can cover the entire strictly controlled area. First, the targeted security device video stream is collected and identified at regular intervals, that is, the recorded video of each security camera device in a fixed period of time is collected and identified, and the security device video stream is decomposed into several image frames, and then the portraits in the image frames are compared and identified to detect whether there are abnormal portraits, and the recognition and comparison results are generated. Identify and compare the results, generate tracking and positioning instructions and alarm instructions, and the generated alarm instructions will be uploaded to the cloud police system. After receiving the alarm instructions, the police system will dispatch relevant personnel to respond. At the same time, based on the tracking and positioning instructions, the targeted target is tracked and located. After obtaining the real-time position information of the targeted target, the targeted lighting device closest to the real-time position of the targeted target is matched, and the lighting scheduling instruction is sent to the targeted lighting device. When the targeted lighting device obtains the lighting scheduling instruction, it will chase the targeted target. The light beam of the intelligent road lighting device will continue to track the targeted target for easy tracking and identification, and the real-time position information of the targeted target must be judged synchronously. If the targeted target exceeds the chasing range of the intelligent road lighting device that sends the tracking beam, the targeted lighting device will be updated to continue beam tracking.

[0077] like Figure 2 As shown, as a preferred embodiment of the present invention, the timed acquisition and identification of the targeted security equipment video stream and the generation of the identification and comparison results specifically include:

[0078] Step S101: Acquire and store targeted security equipment video stream;

[0079] Step S102: Decomposing the targeted security device video stream into a plurality of image frames;

[0080] Step S103: identifying face information in a plurality of image frames;

[0081] Step S104: determining whether there is any abnormal human image in the face information of a plurality of image frames;

[0082] Step S105: if there is an abnormal human image in the facial information of the plurality of image frames, a comparison confirmation instruction is generated;

[0083] When this embodiment is applied, it first obtains and stores the targeted security equipment video stream, decomposes the targeted security equipment video stream into a number of image frames, identifies the facial information in the several image frames, and determines whether there are abnormal human portraits in the facial information in the several image frames. If there are abnormal human portraits in the facial information in the several image frames, a comparison confirmation instruction is generated.

[0084] like Figure 3 As shown, as a preferred embodiment of the present invention, the tracking and positioning of the target object based on the tracking and positioning instruction specifically includes:

[0085] Step S301: Search and compare to confirm whether the instruction exists;

[0086] Step S302: if the comparison confirmation instruction exists, obtain abnormal human images in several image frames and mark the target object;

[0087] Step S303: Acquire the target feature points of the target object;

[0088] Step S304: matching the target feature points of the target object in adjacent image frames;

[0089] Step S305: calculating the displacement vector of the target feature point in the adjacent image frames, generating a target tracking label and adding the target tracking label to the target object;

[0090] When this embodiment is applied, it is first retrieved whether a comparison confirmation instruction exists. If the comparison confirmation instruction exists, abnormal human images in several image frames are obtained, the target object is marked, and the optical flow method is used for tracking to obtain the target feature points of the target object. These feature points can be corner points, edge points or areas with specific textures. The target feature points of the target object in adjacent image frames are matched, the displacement vector of the target feature points in adjacent image frames is calculated, an RFID infrared tag is emitted, a target tracking tag is generated, and a target tracking tag is added to the target object.

[0091] like Figure 4 As shown, as a preferred embodiment of the present invention, the acquisition of real-time position information of the target object, matching the target lighting equipment and sending the lighting scheduling instruction specifically includes:

[0092] Step S401: collecting real-time position information of the target object and generating a target circular range;

[0093] Step S402: obtaining location information of a plurality of intelligent road lighting devices within a target circular range;

[0094] Step S403: Calculating the straight-line distance between the real-time position information of the target object and the position information of a plurality of intelligent road lighting devices;

[0095] Step S404: Select the intelligent road lighting device with the smallest straight-line distance value and mark it as a targeted lighting device;

[0096] Step S405: reading the target tracking tag to obtain the target tracking tag position;

[0097] Step S406: generating a beam tracking instruction based on the target tracking tag position;

[0098] It should be understood that first, the real-time position information of the target target is collected to generate a target circular range, that is, the real-time position of the target target is taken as a circle and a target circular range is generated according to a preset radius, and then the position information of several intelligent road lighting devices within the target circular range is obtained, and the straight-line distance value between the real-time position information of the target target and the position information of several intelligent road lighting devices is calculated, and the intelligent road lighting device with the smallest straight-line distance value is selected and marked as the target lighting device, and the target tracking tag is read to obtain the position of the target tracking tag. Based on the position of the target tracking tag, a light beam tracking instruction is generated to achieve light tracking of the target target.

[0099] like Figure 5 As shown, as a preferred embodiment of the present invention, the synchronous determination of the real-time position information of the target object and the updating of the target lighting device specifically include:

[0100] Step S501: Acquire the location information of the targeted lighting device and generate a targeted circular range;

[0101] Step S502: determining whether the position of the target tracking tag is within the target circular range;

[0102] Step S503: if the location of the targeted tracking tag is not within the targeted circular range, update and upload the real-time location information of the targeted object;

[0103] When this embodiment is applied, while chasing the target object, the position information of the targeted lighting device is obtained, a targeted circular range is generated, and it is determined whether the position of the targeted tracking tag is within the targeted circular range. If the position of the targeted tracking tag is not within the targeted circular range, the targeted lighting device is out of the tracking range and cannot chase the target object. The real-time position information of the targeted object is updated and uploaded, and the intelligent road lighting device with the smallest real-time straight-line distance value is selected again and marked as the new targeted lighting device.

[0104] like Figure 6 As shown, as another preferred embodiment of the present invention, on the other hand, a security and road lighting intelligent scheduling system based on the Internet of Things, the system includes:

[0105] The acquisition and identification module 100 is used to regularly acquire and identify the video stream of the targeted security equipment;

[0106] A first generating module 200, used to generate recognition and comparison results;

[0107] The second generating module 300 generates a tracking and positioning instruction and an alarm instruction based on the identification and comparison result;

[0108] The tracking and positioning module 400 is used to track and locate the target object based on the tracking and positioning instruction;

[0109] An acquisition module 500 is used to acquire real-time position information of a target object;

[0110] A matching module 600, used to match the targeted lighting equipment and send a lighting scheduling instruction;

[0111] A synchronization module 700 is used to synchronously determine the real-time position information of the target object;

[0112] An updating module 800, used for updating the targeted lighting device;

[0113] When this embodiment is applied, the acquisition and identification module 100 periodically acquires and identifies the video stream of the targeted security equipment, the first generation module 200 generates the identification and comparison result, based on the identification and comparison result, the second generation module 300 generates the tracking and positioning instruction and the alarm instruction, based on the tracking and positioning instruction, the tracking and positioning module 400 tracks and locates the targeted target object, the acquisition module 500 obtains the real-time position information of the targeted target object, the matching module 600 matches the targeted lighting equipment and sends the lighting scheduling instruction, the synchronization module 700 synchronously determines the real-time position information of the targeted target object, and the update module 800 updates the targeted lighting equipment.

[0114] like Figure 7 As shown, as another preferred embodiment of the present invention, the acquisition and identification module 100 specifically includes:

[0115] An acquisition storage unit 101 is used to acquire and store a targeted security device video stream;

[0116] A decomposition unit 102, used to decompose the targeted security device video stream into a plurality of image frames;

[0117] The recognition unit 103 is used to recognize face information in a plurality of image frames;

[0118] A judging unit 104 is used to judge whether there is an abnormal human image in the face information of a plurality of image frames;

[0119] The first generating unit 105 is used to generate a comparison confirmation instruction if there is an abnormal human image in the facial information of the plurality of image frames;

[0120] When this embodiment is applied, the acquisition storage unit 101 acquires and stores the targeted security equipment video stream, the decomposition unit 102 decomposes the targeted security equipment video stream into a plurality of image frames, the recognition unit 103 recognizes the facial information in the plurality of image frames, the judgment unit 104 judges whether there are abnormal human portraits in the facial information in the plurality of image frames, and if there are abnormal human portraits in the facial information in the plurality of image frames, the first generation unit 105 generates a comparison confirmation instruction.

[0121] like Figure 8 As shown, as another preferred embodiment of the present invention, the tracking and positioning module 400 specifically includes:

[0122] A search and comparison unit 401 is used to search and compare to confirm whether the instruction exists;

[0123] The first acquisition unit 402 is used to acquire abnormal human images in a plurality of image frames if the comparison confirmation instruction exists;

[0124] A marking unit 403, used for marking a targeted object;

[0125] The second acquisition unit 404 is used to acquire the target feature points of the target object;

[0126] A matching unit 405, used for matching the target feature points of the target object in adjacent image frames;

[0127] A calculation unit 406, used to calculate a displacement vector of a target feature point in adjacent image frames;

[0128] The second generating unit 407 is used to generate a targeting tracking tag and add the targeting tracking tag to the targeted object;

[0129] When this embodiment is applied, the retrieval and comparison unit 401 retrieves whether a comparison confirmation instruction exists. If the comparison confirmation instruction exists, the first acquisition unit 402 acquires abnormal human images in several image frames, the marking unit 403 marks the targeted object, the second acquisition unit 404 acquires the targeted feature points of the targeted object, the matching unit 405 matches the targeted feature points of the targeted object in adjacent image frames, the calculation unit 406 calculates the displacement vector of the targeted feature points in adjacent image frames, and the second generation unit 407 generates a targeted tracking tag and adds the targeted tracking tag to the targeted object.

[0130] The above-mentioned embodiment of the present invention provides a security and road lighting intelligent scheduling method based on the Internet of Things, and provides a security and road lighting intelligent scheduling system based on the Internet of Things. In the strictly controlled area, a number of intelligent road lighting devices are installed at equal intervals, and the several intelligent road lighting devices are connected to the Internet of Things, and each intelligent road lighting device is installed with a security camera device. Each intelligent road lighting device can perform directional lighting and light chasing. The light chasing range of each intelligent road lighting device is fixed, and the recording range of the security camera device installed on each intelligent road lighting device is fixed. The recording range of several security cameras can cover the entire strictly controlled area. First, the targeted security device video stream is collected and identified at a fixed time, that is, the video recorded by each security camera device in a fixed time period is collected and identified, and the security device video stream is decomposed into several image frames. Then, the portraits in the image frames are compared and identified to detect whether there are abnormal portraits, and the identification and comparison results are generated. Based on the identification and comparison results, tracking and positioning instructions and alarm instructions are generated. The generated alarm instructions will be uploaded to the cloud police system. After the police system obtains the alarm instruction, it dispatches relevant The personnel react and, based on the tracking and positioning instructions, track and locate the target object. After obtaining the real-time position information of the target object, match the target lighting device closest to the real-time position of the target object, and send a lighting scheduling instruction to the target lighting device. When the targeted lighting device obtains the lighting scheduling instruction, it will chase the target object. The light beam of the intelligent road lighting device will continue to track the target object for easy tracking and identification, and the real-time position information of the targeted target object needs to be judged synchronously. If the targeted object exceeds the chasing range of the intelligent road lighting device that sends the tracking beam, the targeted lighting device is updated to continue the light beam tracking. The method and system realize all-weather, no-dead-angle monitoring of the set area by regularly collecting and identifying the video stream of the security camera equipment. Through efficient security monitoring and real-time tracking and positioning, the system can quickly respond to various emergencies, timely lock and track specific targets, effectively curb criminal activities, and improve public security capabilities. The directional lighting chasing function not only illuminates the target object, but also improves the monitoring environment at night or under low light conditions, further enhancing the monitoring capabilities of the security system.

[0131] In order to load the above-mentioned method and system and enable it to run smoothly, the system, in addition to the various modules mentioned above, may also include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, processors and memories, etc.

[0132] The processor may be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the system, and various interfaces and lines are used to connect various parts.

[0133] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0134] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0135] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. The intelligent scheduling method for security and road lighting based on the Internet of Things is characterized by: The method comprises: Regularly collect and identify the video stream of targeted security equipment and generate identification and comparison results; Generate tracking and positioning instructions and alarm instructions based on the identification and comparison results; Based on the tracking and positioning instructions, track and locate the target object; Obtain the real-time location information of the target object, match the targeted lighting equipment and send lighting scheduling instructions; Synchronously determine the real-time location information of the target object and update the target lighting equipment.

2. The method for intelligent scheduling of security and road lighting based on the Internet of Things according to claim 1 is characterized in that: The timed acquisition and identification of the targeted security equipment video stream and the generation of the identification and comparison results specifically include: Acquire and store targeted security equipment video streams; Decompose the targeted security equipment video stream into several image frames; Recognize facial information in several image frames; Determine whether there are abnormal human faces in the face information of several image frames; If there are abnormal human faces in the facial information of several image frames, a comparison confirmation instruction is generated.

3. The method for intelligent scheduling of security and road lighting based on the Internet of Things according to claim 2 is characterized in that: The tracking and positioning of the target object based on the tracking and positioning instruction specifically includes: Search and compare to confirm whether the instruction exists; If the comparison confirmation instruction exists, obtain abnormal human images in several image frames and mark the target object; Acquire the target feature points of the target object; Matching the target feature points of the target object in adjacent image frames; Calculate the displacement vector of the target feature point in adjacent image frames, generate a target tracking label and add a target tracking label to the target object.

4. The method for intelligent scheduling of security and road lighting based on the Internet of Things according to claim 3 is characterized in that: The obtaining of the real-time position information of the target object, matching the target lighting equipment and sending the lighting scheduling instruction specifically includes: Collect the real-time location information of the target object and generate the target circular range; Obtaining location information of several intelligent road lighting devices within the target circular range; Calculate the straight-line distance between the real-time position information of the target object and the position information of several intelligent road lighting devices; Select the intelligent road lighting device with the smallest straight-line distance value and mark it as the targeted lighting device; Read the target tracking tag and obtain the target tracking tag location. Generate beam tracking instructions based on the target tracking tag position.

5. The method for intelligent scheduling of security and road lighting based on the Internet of Things according to claim 4 is characterized in that: The synchronous determination of the real-time position information of the target object and the updating of the target lighting device specifically include: Obtaining the location information of the targeted lighting device and generating a targeted circular range; Determine whether the position of the target tracking tag is within the target circular range; If the location of the targeted tracking tag is not within the targeted circular range, update and upload the real-time location information of the targeted object.

6. The security and road lighting intelligent dispatching system based on the Internet of Things is characterized by: The method for intelligent scheduling of security and road lighting based on the Internet of Things as described in any one of claims 1 to 5 is applied, wherein the system comprises: The acquisition and identification module is used to regularly acquire and identify the video stream of targeted security equipment; A first generating module, used to generate recognition comparison results; The second generation module generates tracking and positioning instructions and alarm instructions based on the recognition and comparison results; A tracking and positioning module, used to track and locate a target object based on a tracking and positioning instruction; An acquisition module is used to obtain the real-time location information of the target object; A matching module, used to match the targeted lighting equipment and send lighting scheduling instructions; A synchronization module, used to synchronously determine the real-time position information of the target object; Update module for updating the targeting lighting device.

7. The security and road lighting intelligent dispatching system based on the Internet of Things according to claim 6 is characterized in that: The acquisition and identification module specifically includes: An acquisition storage unit is used to acquire and store a targeted security device video stream; A decomposition unit, used for decomposing a targeted security device video stream into a plurality of image frames; A recognition unit, used for recognizing face information in a plurality of image frames; A judging unit, used for judging whether there is an abnormal human image in the face information of a plurality of image frames; The first generating unit is used to generate a comparison confirmation instruction if there is an abnormal human image in the facial information of a plurality of image frames.

8. The security and road lighting intelligent dispatching system based on the Internet of Things according to claim 7 is characterized in that: The tracking and positioning module specifically includes: A search and comparison unit, used for searching and comparing to confirm whether the instruction exists; A first acquisition unit, configured to acquire abnormal human images in a plurality of image frames if a comparison confirmation instruction exists; A labeling unit, used for labeling a targeted object; A second acquisition unit is used to acquire a target feature point of the target object; A matching unit, used for matching target feature points of a target object in adjacent image frames; A calculation unit, used for calculating a displacement vector of a target feature point in adjacent image frames; The second generating unit is used to generate a targeting tracking tag and add the targeting tracking tag to the targeted object.

Images