A camera, safety supervision and environmental protection supervision intelligent detection system and method

Abstract

The application discloses a kind of camera, safety supervision and environmental protection supervision intelligent detection system and method, camera includes camera head;Anti-shake frame, one end of anti-shake frame is pivotally connected with the camera head;And mounting, the other end of anti-shake frame is pivotally connected with mounting;Mounting includes shell, clamping mechanism and data processing circuit board, clamping mechanism is located at the top of shell and is fixedly connected with shell, data processing circuit board is encapsulated in the inside of shell, clamping mechanism is fixedly connected with unmanned aerial vehicle chassis.The camera integrates image acquisition, processing, identification, and has high integration and more complete functions, and its structure is reasonable, and the disassembly and assembly process with unmanned aerial vehicle is more simple.The system and method rely on the above-mentioned camera to realize field image acquisition, processing, identification and early warning work, and report the results to remote control terminal in real time, save the work of processing data by human, more efficient and reliable.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of image processing and environmental monitoring, and more particularly to a camera, a safety supervision and environmental protection supervision intelligent detection system and method using the same. BACKGROUND

[0002] At present, with the continuous advancement of ecological civilization construction, safety supervision and environmental protection supervision work is paid more and more attention by people, and the existing safety supervision and environmental protection supervision work is generally completed by on-site staff who collect information step by step on site. Due to the complex on-site environment, the safety of the staff is difficult to guarantee, and the work efficiency of manual operation is low, which requires a large amount of manpower and material resources to complete the supervision and acceptance work. Therefore, the on-site investigation by relying on unmanned aerial vehicles is gradually implemented, and the use of unmanned aerial vehicles eliminates the need for on-site investigation by humans, greatly ensuring the safety of the staff.

[0003] However, the image acquisition device installed on the unmanned aerial vehicle can only complete the preliminary data acquisition work, and the subsequent data processing and analysis work still needs to rely on manpower, which has not reduced the work completed by humans to a great extent, and it is difficult to meet the requirements of intelligence and high efficiency. At the same time, the image acquisition device needs to be frequently disassembled to obtain data, and the unreasonable structure leads to a complicated disassembly process.

[0004] Therefore, how to provide a safety supervision and environmental protection supervision intelligent detection method which can complete image processing work, is an urgent problem for those skilled in the art to solve. SUMMARY

[0005] Therefore, the present application provides a camera, a safety supervision and environmental protection supervision intelligent detection system and method using the same. The camera integrates image acquisition, processing and recognition, has high integration and more complete functions, and has a reasonable structure, which makes the disassembly process of the camera and the unmanned aerial vehicle more simple. The system and method use image recognition technology to realize intelligent and efficient safety supervision and environmental protection supervision intelligent detection functions, and solve the problems of low efficiency and reliance on manpower in the existing detection method.

[0006] In order to achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0007] On the one hand, the present application provides a camera, comprising:

[0008] a camera head;

[0009] a anti-shake frame, one end of the anti-shake frame being pivotably connected with the camera head; and

[0010] a mounting member, the other end of the anti-shake frame being pivotably connected with the mounting member;

[0011] The mounting member comprises a shell, a clamping mechanism and a data processing circuit board, the clamping mechanism is arranged on the top of the shell and fixedly connected with the shell, and the data processing circuit board is packaged in the interior of the shell, and the clamping mechanism is clampedly connected with the chassis of the unmanned aerial vehicle.

[0012] Further, the clamping mechanism comprises a first wiring board, a clamping portion and a pressing portion, the first wiring board is attached to the top of the clamping portion, the first wiring board is electrically connected with the data processing circuit board and a second wiring board on the unmanned aerial vehicle respectively, the clamping portion and the pressing portion are integrally formed, a plurality of telescopic clamping heads are arranged on the periphery of the clamping portion, the clamping heads are adapted to the clamping grooves on the chassis of the unmanned aerial vehicle, the clamping heads are screwed into the clamping grooves to achieve the clamped connection of the unmanned aerial vehicle and the clamping portion, and the pressing portion is pressed to drive the plurality of clamping heads to be telescoped inwardly to make the clamping portion be separated from the unmanned aerial vehicle.

[0013] Further, the data processing circuit board comprises a data acquisition module, a data processing module, an image recognition module and a communication module, the data acquisition module is electrically connected with the camera head and the data processing module respectively, the data acquisition module acquires image information shot by the camera head and sends the information to the data processing module, the data processing module is electrically connected with the image recognition module, the data processing module receives and processes the image information, the image recognition module identifies and analyzes the processed image information to obtain an identification result, the image recognition module is electrically connected with the communication module, and the communication module sends the identification result data to a remote control terminal device.

[0014] Further, the data processing circuit board further comprises a memory and a warning module, the memory is electrically connected with the image recognition module and used for storing the identification result data in real time, and the warning module is electrically connected with the image recognition module, the warning module is used for judging whether there is an abnormality according to the identification result, and when there is abnormal information in the judgment result, warning information is sent to the communication module.

[0015] Further, one end of the shell is provided with a data transmission port, the data transmission port is electrically connected with the data processing circuit board, and the data transmission port is used for being electrically connected with a wire harness adapted to the unmanned aerial vehicle.

[0016] Further, the shell is further provided with a key and a plurality of wiring jacks for connecting external devices.

[0017] Compared with the prior art, the camera provided by the application has high integration degree and more complete functions, and has reasonable structure and is more convenient to disassemble and assemble with the unmanned aerial vehicle, realizes real-time processing of on-site data and automatic early warning, and improves data processing efficiency.

[0018] In a second aspect, the application further provides a safety supervision and environmental protection supervision intelligent detection system, which comprises a remote control terminal device, an unmanned aerial vehicle and the camera described above, the remote control terminal device is in communication connection with the unmanned aerial vehicle and the camera respectively, the camera is fixedly connected with the chassis of the unmanned aerial vehicle, and the camera is further electrically connected with the unmanned aerial vehicle.

[0019] The remote control terminal is used for sending control instructions to the unmanned aerial vehicle or the camera, the unmanned aerial vehicle is used for flying along a preset route and receiving control instructions of the remote control terminal device in real time, and the heading is adjusted in real time according to the control instructions, the camera is used for shooting image data below the unmanned aerial vehicle and performing identification processing on the image data, and the data after identification processing is sent to the remote control terminal.

[0020] Further, the unmanned aerial vehicle is a multi-rotor unmanned aerial vehicle, and the application selects a four-rotor unmanned aerial vehicle.

[0021] In a third aspect, the application further provides a safety supervision and environmental protection supervision intelligent detection method, which comprises the following steps:

[0022] Pre-shooting of image data in an abnormal state is performed to establish an image database;

[0023] The unmanned aerial vehicle carrying the camera enters a target environment to perform image shooting;

[0024] The camera processes the shot image, and compares and identifies the processed image information with image data in the image database to obtain an identification result;

[0025] It is determined whether there is an abnormal state in the identification result, and when the abnormal state occurs, early warning information is automatically generated;

[0026] The identification result and the early warning information are reported to a remote control terminal.

[0027] Specifically, the abnormal state comprises an abnormal terrain, a non-environmental protection behavior and a construction illegal behavior.

[0028] Via the technical solution, compared with the prior art, the application provides a full supervision and environmental protection supervision intelligent detection system and method, the system realizes field image acquisition, processing, identification and early warning work relying on the above-mentioned camera, and reports the results to the remote control end in real time, saves the work of processing data by human, greatly improves the efficiency, is more intelligent, and further improves the reliability of the detection result. BRIEF DESCRIPTION OF DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of the provided drawings.

[0030] Figure 1 The drawing is a schematic diagram of the overall structure of a camera provided by the application;

[0031] Figure 2 The drawing is a schematic diagram of the overall structure of a camera provided by the application from another perspective;

[0032] Figure 3 The drawing is a schematic diagram of the installation state of the camera and the unmanned aerial vehicle chassis in the embodiment of the application;

[0033] Figure 4 The drawing is a schematic diagram of the structure of the clamping part in the embodiment of the application;

[0034] Figure 5 The drawing is a schematic diagram of the structure of the clamping groove in the embodiment of the application;

[0035] Figure 6 The drawing is a schematic diagram of the module structure of the data processing circuit board in the embodiment of the application;

[0036] Figure 7 The drawing is a schematic diagram of the system architecture of a safety supervision and environmental protection supervision intelligent detection system provided by the application;

[0037] Figure 8 The drawing is a schematic diagram of the method flow of a safety supervision and environmental protection supervision intelligent detection method provided by the application. DETAILED DESCRIPTION

[0038] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all the other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0039] In one aspect, referring to the drawings of the embodiments of the present application, Figures 1-6 The embodiments of the present application disclose a camera, comprising:

[0040] A camera head 1;

[0041] A damping frame 2, one end of the damping frame 2 being pivotably connected with the camera head 1; and

[0042] A mounting member 3, the other end of the damping frame 2 being pivotably connected with the mounting member 3;

[0043] The mounting member 3 comprises a housing 31, a clamping mechanism 32 and a data processing circuit board 33, the clamping mechanism 32 being arranged on the top of the housing 31 and fixedly connected with the housing 31, the data processing circuit board 33 being encapsulated inside the housing 31, and the clamping mechanism 32 being clampedly connected with the chassis of the unmanned aerial vehicle.

[0044] In one specific embodiment, referring to the drawings of the embodiments of the present application, Figures 2 to 5 The clamping mechanism 32 comprises a first wiring board 321, a clamping portion 322 and a pressing portion 323, the first wiring board 321 being attached to the top of the clamping portion 322, the first wiring board 321 being electrically connected with the data processing circuit board 33 and a second wiring board 5 on the unmanned aerial vehicle respectively, the clamping portion 322 and the pressing portion 323 being integrally formed, a plurality of retractable clamping heads being arranged on the circumferential side of the clamping portion 322, the clamping heads being adapted to the clamping grooves 4 on the chassis of the unmanned aerial vehicle, the clamping heads being screwed into the clamping grooves 4 to achieve the clamped connection between the unmanned aerial vehicle and the clamping portion 322, at the same time, the first wiring board 321 and the second wiring board 5 are in contact to achieve electrical connection, and the pressing portion 323 is pressed to drive the plurality of clamping heads to retract inwardly to make the clamping portion 322 disengage from the unmanned aerial vehicle.

[0045] In one specific embodiment, referring to the drawings of the embodiments of the present application, Figure 6, the data processing circuit board 33 comprises a data acquisition module 331, a data processing module 332, an image recognition module 333 and a communication module 334, the data acquisition module 331 is electrically connected with the camera head 1 and the data processing module 332 respectively, the data acquisition module 331 acquires image information shot by the camera head 1 and sends the information to the data processing module 332, the data processing module 332 is electrically connected with the image recognition module 333, the data processing module 332 receives image information and processes, the image recognition module 333 identifies and analyzes the processed image information, obtains recognition results, the image recognition module 333 is electrically connected with the communication module 334, and the communication module 334 sends the recognition result data to the remote control terminal equipment.

[0046] In one specific embodiment, the data processing circuit board 33 further comprises a memory 336 and a pre-warning module 335, the memory 336 is electrically connected with the image recognition module 333, for storing the recognition result data in real time, the pre-warning module 335 is electrically connected with the image recognition module 333, and the pre-warning module 335 is used for judging whether there is an abnormality according to the recognition result, and when there is abnormal information in the judgment result, pre-warning information is sent to the communication module 334.

[0047] In one specific embodiment, one end of the shell 31 has a data transmission port 311, the data transmission port 311 is electrically connected with the data processing circuit board 33, and the data transmission port 331 is used for being electrically connected with the wire harness matched on the unmanned aerial vehicle.

[0048] In one specific embodiment, the shell 31 further has a key and a plurality of wire insertion ports for connecting external devices.

[0049] It is not difficult to find that the camera disclosed in the embodiment of the application has the following advantages compared with the prior art:

[0050] The camera integrates image acquisition, processing and recognition, has high integration and more complete functions, has reasonable structure, and is more convenient to disassemble and assemble with the unmanned aerial vehicle, not only realizes real-time data processing function on site, but also can realize automatic pre-warning function, and improves data processing efficiency.

[0051] In a second aspect, referring to the accompanying drawings Figure 7 The embodiment of the application further discloses a safe supervision and environmental protection supervision intelligent detection system, which comprises a remote control terminal equipment, an unmanned aerial vehicle and the camera, the remote control terminal equipment is in communication connection with the unmanned aerial vehicle and the camera respectively, the camera is fixedly connected with the chassis of the unmanned aerial vehicle, and the camera is electrically connected with the unmanned aerial vehicle;

[0052] The remote control terminal is used for sending control instructions to the unmanned aerial vehicle or the camera; the unmanned aerial vehicle is used for flying along a preset route and receiving the control instructions of the remote control terminal device in real time, and adjusting the heading in real time according to the control instructions; the camera is used for shooting image data below the unmanned aerial vehicle, and performing identification processing on the image data, and sending the data after identification processing to the remote control terminal.

[0053] In one specific embodiment, the unmanned aerial vehicle is a multi-rotor unmanned aerial vehicle.

[0054] In a third aspect, referring to the accompanying drawings Figure 8 The embodiment of the present application also discloses a safety supervision and environmental protection supervision intelligent detection method, which comprises the following steps of:

[0055] S1: pre-shooting image data in an abnormal state to establish an image database;

[0056] S2: entering a target environment by the camera-carrying unmanned aerial vehicle to perform image shooting;

[0057] S3: performing processing on the shot image by the camera, comparing and identifying the processed image information with the image data in the image database, and obtaining an identification result;

[0058] S4: determining whether there is an abnormal state in the identification result, and automatically generating early warning information when the abnormal state occurs;

[0059] S5: reporting the identification result and the early warning information to a remote control terminal.

[0060] Specifically, the abnormal state comprises an abnormal terrain, a non-environmental protection behavior and a construction illegal behavior.

[0061] The route planning process of the unmanned aerial vehicle mainly comprises the following contents:

[0062] Multi-time sequence repeated path aerial photography is used to realize dynamic monitoring: autonomous navigation flight along the planned route is adopted, the navigation route is composed of multiple navigation points with latitude and longitude coordinates, low-altitude remote sensing shooting of the same area along the same route at different times can be selected, and dynamic monitoring of the status of the target area is realized through comparison and analysis of images at different times. Unmanned aerial vehicle safety operation involves technical preparation, site reconnaissance and site selection, flight inspection and control, support measures, equipment use and maintenance and the like.

[0063] Task planning: starting from receiving a task, several track points are selected manually according to the task. These points are tested and adjusted to meet the needs of various constraint conditions. An optimization criterion (such as shortest path analysis) is selected to generate a flight route with the aid of a computer. Each point on the route is tested by a test standard, and if all the points pass the test, a usable route is found.

[0064] The task planning consists of task understanding, environment assessment, task assignment, flight path planning, flight path optimization and flight path assessment.

[0065] ①The whole process starts with the received task and command from the superior, firstly, the task is saved, and the reference and display are provided.

[0066] ②Secondly, the task understanding is assisted by the operator, the geographical area, time interval, target waypoint number, position and importance of each waypoint of the task execution are analyzed. According to the area involved in the task, the terrain profile, no-fly zone and obstacle distribution and weather information are queried and displayed, which provides the basis for the environment of the flight path planning.

[0067] ③Then the task assignment is carried out, in this process, the available unmanned aerial vehicle resources and landing points are displayed, which assist the operator to carry out load planning, communication planning and target assignment.

[0068] Load planning includes the types of sensors, cameras and special task equipment carried, planning of equipment work and work mode, and considering the influence of weather conditions on equipment.

[0069] Communication planning includes formulating some communication tasks according to the changes of environmental conditions during the execution of the task, adjusting the communication mode with the task control station, etc.

[0070] Target assignment mainly refers to the time point, method and way of action in the process of task execution, setting the time node, flight height, flight speed, flight attitude of the waypoint and the working state and mode of the load equipment, when the unmanned aerial vehicle reaches the waypoint, implementing aerial photography and other flight tasks.

[0071] ④The next step is flight path planning, based on target assignment, according to the changes of environment, unmanned aerial vehicle speed, flight height range, fuel quantity and equipment performance, the flight path is formulated, and the communication and weather support is applied.

[0072] ⑤After the flight path planning is completed, the system optimizes the flight path according to the minimum turning radius and maximum pitch angle analyzed by the unmanned aerial vehicle, and formulates the flight path suitable for the unmanned aerial vehicle flight.

[0073] ⑥Finally, the plan is generated, saved and sent.

[0074] Flight path planning: the unmanned aerial vehicle flight path planning needs to comprehensively apply navigation technology, geographic information technology and remote sensing technology to obtain comprehensive and detailed information of the unmanned aerial vehicle flight status and environment, combined with the technical index characteristics of the unmanned aerial vehicle itself, according to certain flight path planning method, to formulate the optimal or suboptimal path. Therefore, the selection of electronic map, mapping, flight path pre-planning and online adjustment opportunity should be fully considered.

[0075] Route planning is generally divided into two steps: first, pre-planning before flight, that is, according to the given task, combining environmental restrictions and flight constraints, the optimal reference path is made as a whole; second, re-planning during flight, that is, according to the sudden conditions encountered during flight, such as terrain, weather changes, unknown flight restrictions, etc., the flight path is adjusted locally and dynamically or the action task is changed.

[0076] In the embodiment, the camera also has an automatic fast image stitching function, which can automatically calculate the original image exterior orientation elements through software automatic aerial triangulation. The image is automatically calibrated by using the technology of PIX4UAV and block adjustment. The software automatically generates a precision report, which can quickly and correctly evaluate the quality of the results. Detailed, quantitative precision of automatic aerial triangulation, block adjustment and ground control points are provided. Adjustment of post-processing parameters includes initialization processing, point cloud encryption, digital surface model and orthophoto generation. After setting the above parameters, click the menu bar to run, select local processing, a dialog box appears, click start to automatically process, and color point cloud and three-dimensional model and orthophoto files can be generated after processing. The three-dimensional true color model of Pix4Dmapper software is used to set the target point as a marker for marking.

[0077] The camera in the embodiment can also adjust flight parameters (such as flight route, flight height, flight speed, overlap rate, etc.) and plan task route to compile flight scheme, and obtain image data with high spatial resolution accuracy and pixel error control by using fast stitching technology and aerial triangulation equation.

[0078] Taking the construction site as an example, at least 15 kinds of typical construction violation behaviors in the construction site of the pumped storage power station are collected by taking pictures as training data, a sample library is established, a learning process of training and artificial review is carried out, and finally the automatic detection result of the typical construction violation behavior is obtained. Relying on the unmanned aerial vehicle platform, the site is patrolled, information is collected, and instructions are conveyed, so that the automatic shooting of the typical construction violation behavior in the construction site of the pumped storage power station is realized on the airborne end or the ground receiving end, automatic analysis and alarm are realized, the alarm result is pushed to the interface of the intelligent management and control system of the construction, and the result is displayed on the intelligent management and control platform of the construction.

[0079] In the embodiment, the unmanned aerial vehicle mainly carries a camera with vertical or inclined photography technology, regularly and quickly collects image information of the ground environment, equipment and facilities, working surface, etc., combines image intelligent analysis technology, modeling, monitoring requirements and target analysis characteristics, automatically completes image analysis modeling and comparison, discovers abnormal changes of the monitoring target in time, issues early warning information, saves historical images and evidence, constructs an internet + unmanned aerial vehicle early warning system, and is used for environmental monitoring and safety supervision of the complex environment of the pumped storage power station construction site, and real-time monitoring.

[0080] In summary, the full supervision and environmental protection monitoring intelligent detection system and method disclosed by the embodiment have the following advantages compared with the prior art.

[0081] The above camera realizes on-site image collection, processing, identification and early warning, and reports the results to the remote control terminal in real time, so that the work of processing data by humans is saved, the efficiency is greatly improved, the system is more intelligent, and the reliability of the detection result is further improved.

[0082] The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the difference from other embodiments, and the same or similar parts of each embodiment can be referred to each other. For the device disclosed by the embodiment, since it corresponds to the method disclosed by the embodiment, the description is relatively simple, and the related parts can be referred to the method part.

[0083] The above description of the disclosed embodiments enables a person skilled in the art to implement or use the present application. Various modifications of the embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A camera, characterized in that, include: Camera head; A stabilizer, one end of which is pivotally connected to the camera head; as well as Mounting component, the other end of the anti-shake frame is pivotally connected to the mounting component; The mounting component includes a housing, a snap-fit ​​mechanism, and a data processing circuit board. The snap-fit ​​mechanism is located on the top of the housing and is fixedly connected to the housing. The data processing circuit board is encapsulated inside the housing. The snap-fit ​​mechanism is securely connected to the UAV chassis. The snap-fit ​​mechanism includes a first connector plate, a snap-fit ​​part, and a pressing part. The first connector plate is attached to the top of the snap-fit ​​part and is electrically connected to the data processing circuit board and the second connector plate on the drone. The snap-fit ​​part and the pressing part are integrally formed. The snap-fit ​​part is provided with multiple retractable snap-fit ​​connectors on its periphery. The snap-fit ​​connectors are adapted to the snap-fit ​​slots on the drone chassis. The snap-fit ​​connectors are screwed into the snap-fit ​​slots to achieve a snap-fit ​​connection between the drone and the snap-fit ​​part. Pressing down the pressing part causes the multiple snap-fit ​​connectors to extend and retract inward to disengage the snap-fit ​​part from the drone. One end of the housing has a data transmission port, which is electrically connected to the data processing circuit board. The data transmission port is used to electrically connect to the cable tray adapted on the UAV. The housing also has a power switch and multiple wiring ports for connecting external devices. The camera also includes automated rapid image stitching, which automatically performs aerial triangulation to calculate the exterior orientation elements of the original image, and uses PIX4UAV and regional network adjustment strategies to achieve automatic image calibration. It also adjusts the parameters of initialization processing, point cloud encryption, digital surface model and orthophoto generation, triggers automatic processing, and generates color point cloud and 3D model and orthophoto file.

2. A camera according to claim 1, characterized in that, The data processing circuit board includes a data acquisition module, a data processing module, an image recognition module, and a communication module. The data acquisition module is electrically connected to both the camera head and the data processing module. The data acquisition module acquires image information captured by the camera head and sends the information to the data processing module. The data processing module is electrically connected to the image recognition module. The data processing module receives the image information and processes it. The image recognition module performs recognition and analysis on the processed image information to obtain a recognition result. The image recognition module is electrically connected to the communication module. The communication module sends the recognition result data to a remote control terminal device.

3. A camera according to claim 2, characterized in that, The data processing circuit board also includes a memory and an early warning module. The memory is electrically connected to the image recognition module and is used to store recognition result data in real time. The early warning module is electrically connected to the image recognition module and is used to determine whether there is an anomaly based on the recognition result. When there is an anomaly in the determination result, an early warning message is sent to the communication module.

4. An intelligent detection system for safety supervision and environmental protection monitoring, characterized in that, The system includes a remote control terminal device, a drone, and a camera as described in any one of claims 1-3, wherein the remote control terminal device is communicatively connected to the drone and the camera, the camera is fixedly connected to the chassis of the drone, and the camera is also electrically connected to the drone. The remote control terminal is used to send control commands to the drone or the camera; the drone is used to fly along a preset route and receive control commands from the remote control terminal in real time, and adjust its course in real time according to the control commands; the camera is used to capture image data below the drone, perform recognition processing on the image data, and send the processed data to the remote control terminal.

5. The intelligent detection system for safety supervision and environmental protection monitoring according to claim 4, characterized in that, The drone in question is a multi-rotor drone.

6. A smart detection method for safety supervision and environmental monitoring, applied to the camera as described in any one of claims 1-3, characterized in that, include: Pre-capture images showing abnormal conditions and establish an image database; A camera mounted on a drone enters the target environment to capture images. The images captured by the camera are processed, and the processed image information is compared and analyzed with image data in the image database to obtain the recognition result; Determine if there are any abnormal states in the identification results, and automatically generate warning information when abnormal states are found; The identification results and early warning information are reported to the remote control terminal.

7. The intelligent detection method for safety supervision and environmental protection monitoring according to claim 6, characterized in that, The abnormal conditions include abnormal terrain, non-environmentally friendly behaviors, and construction violations.

Images