Image analysis and recognition processing method and system based on artificial intelligence

Abstract

The invention belongs to the technical field of image processing, and particularly relates to an artificial intelligence-based image analysis and recognition processing method and system, which comprises an image acquisition device, a data preprocessing module, an artificial intelligence analysis module, a result post-processing module, a main control module, a gate and a transmission module, the data preprocessing module is used for carrying out standardization processing on the acquired image; the artificial intelligence analysis module adopts a deep learning network model to perform feature extraction and classification identification on the processed image; image data of a constructor is obtained through the image acquisition device, the image data is sequentially processed and analyzed through the data preprocessing module, the artificial intelligence analysis module and the result post-processing module, whether the labor protection appliance wearing condition of the constructor meets the relevant standard or not is judged, if yes, the master control module controls the gate to be opened for release, and if not, the master control module controls the gate to be opened for release. If yes, the master control module controls the gate to be in a closed state, so that accidents are prevented, and the safety supervision degree of construction operation is improved.

Description

Technical Field

[0001] The present invention belongs to the field of image processing technology, and in particular to an image analysis, recognition and processing method and system based on artificial intelligence. Background Art

[0002] Smart construction sites use modern technologies such as the Internet of Things, big data, artificial intelligence, and building information modeling (BIM) to improve efficiency, safety, and quality during construction. By integrating these technologies, smart construction sites can monitor construction sites in real time, optimize resource allocation, predict and solve potential problems, and improve overall project management. This approach aims to reduce manual intervention, reduce costs, shorten construction periods, and improve visualization and controllability of the construction process.

[0003] In the construction industry, workers need to wear appropriate labor protection equipment before entering the work site to prevent accidental injuries during the work process. However, in actual work, there are always a few people who intentionally or unintentionally enter the construction site without wearing labor protection equipment, which poses a great safety hazard. The current existing technology lacks a corresponding detection system for analyzing the wearing of labor protection equipment by construction workers.

[0004] To this end, the present invention provides an image analysis, recognition and processing method and system based on artificial intelligence. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve its technical problem is: the image analysis and recognition processing system based on artificial intelligence described in the present invention includes an image acquisition device, a data preprocessing module, an artificial intelligence analysis module, a result post-processing module, a main control module, a gate and a transmission module;

[0007] The image acquisition device is used to obtain initial image data at the construction site, that is, the wearing conditions of the labor protection equipment of the construction workers;

[0008] The data preprocessing module is used to perform standardization processing on the collected images, including image size adjustment, color space conversion and data enhancement, so as to adapt to the subsequent deep learning model input requirements;

[0009] The artificial intelligence analysis module uses a deep learning network model to extract features and classify processed images. The model continuously improves recognition accuracy through training optimization algorithms.

[0010] The result post-processing module is used to further process the artificial intelligence analysis results, including data format conversion, information integration and error correction, to generate the final processing results and determine whether the wearing of labor protection equipment by construction workers meets the standards;

[0011] The main control module controls the working state of the gate according to the judgment result of the result post-processing module;

[0012] The gate executes one of the working states of "open to release" or "closed without releasing" under the instruction of the main control module;

[0013] The transmission module is used to upload image data, analysis results, and judgment results for user query and review.

[0014] Preferably, there are two image acquisition devices, which are respectively located at the front and rear sides of the gate.

[0015] Preferably, the image acquisition device includes a gantry; a card reader is provided on the surface of the gantry; a pair of vertical slots are symmetrically provided on the inner side of the gantry; a lifting block is slidably connected inside the vertical slot; a visual camera is fixedly connected to the surface of the lifting block; a lead screw is rotatably connected inside the vertical slot, and the lead screw passes through the lifting block and is connected to it through a lead screw nut pair; a motor for driving the lead screw to rotate is provided inside the gantry.

[0016] Preferably, a base is provided under the door frame; a pair of inclined transition pads are symmetrically provided on both sides of the base; a mounting groove is opened on the upper side of the base; a pedal is slidably connected inside the mounting groove; a group of springs are evenly distributed between the lower side of the pedal and the bottom of the mounting groove; a guide wheel is rotatably connected inside the mounting groove, and the guide wheel is in contact with the lower side of the pedal; a group of guide blocks are evenly distributed on the circumference of the guide wheel surface; and a motor 2 for driving the guide wheel to rotate is provided inside the mounting groove.

[0017] Preferably, a group of anti-skid protrusions are evenly distributed on the surface of the pedal; a guide hole is opened inside the anti-skid protrusions; a cavity is opened inside the pedal; the cavity and the mounting groove are connected to each other through an air outlet; the cavity and the middle of the guide hole are connected to each other through a connecting hole.

[0018] Preferably, the mounting groove and the outside of the base are connected to each other through an air inlet pipe; and a one-way valve is provided inside the air inlet pipe and the air outlet hole.

[0019] Preferably, the guide hole is designed to be an inverted "V" shape with a high middle and low ends; a groove is provided at the joint between the pedal and the base; a circle of elastic sealing gasket is provided inside the groove, and the sealing gasket is fixedly connected to the pedal and the base respectively.

[0020] Preferably, a pair of movable sheets opened from each other are hinged in the middle of the guide hole, and the ends of the movable sheets are in contact with the inner wall surface of the guide hole; and elastic members are fixedly connected between the movable sheets.

[0021] The method for image analysis, recognition and processing based on artificial intelligence adopts the above-mentioned image analysis, recognition and processing system based on artificial intelligence, and comprises the following steps:

[0022] S1: The construction worker's ID is read by the card reader, and the main control module controls the motor to drive the lead screw to rotate, thereby controlling the lifting blocks on both sides to move up and down. The visual camera is used to scan and shoot the worker, and collect visual images related to the labor protection equipment;

[0023] S2: The image data is processed and analyzed in sequence through the data preprocessing module, the artificial intelligence analysis module, and the result post-processing module to determine whether the wearing of the labor protection equipment of the person meets the standards;

[0024] S3: If the standard is met, the main control module controls the gate to open and release; if the standard is not met, the main control module controls the gate to remain closed;

[0025] S4: If the system determines that the wearing of the labor protection equipment does not meet the standard, the main control module controls the second motor to drive the guide wheel to rotate, causing the pedal to vibrate up and down, prompting the wearer that the labor protection equipment is not worn properly, and shaking off the sand on the surface of the pedal;

[0026] S5: When the pedal moves downward, the air inside the installation slot is squeezed, and the compressed air enters the guide hole through the air outlet, the cavity, and the connecting hole, and is ejected outward through both ends of the guide hole to further blow away the sand on the pedal surface;

[0027] S6: When the pedal moves upward, negative pressure is generated inside the installation groove, and the outside air is sucked into the installation groove through the air intake pipe.

[0028] The beneficial effects of the present invention are as follows:

[0029] 1. The artificial intelligence-based image analysis, recognition and processing method and system described in the present invention obtains the image data of the construction personnel through an image acquisition device before the construction personnel enter the site, and processes and analyzes them in sequence through a data preprocessing module, an artificial intelligence analysis module, and a result post-processing module to form a final detection result, and judge whether the labor protection equipment worn by the personnel meets the relevant standards. If it meets the standards, the main control module controls the gate to open and release, allowing the personnel to enter the construction site. If it does not meet the standards, the main control module controls the gate to remain closed, and does not allow the personnel to enter the construction site, so as to prevent accidents and improve the safety supervision of construction operations.

[0030] 2. The artificial intelligence-based image analysis, recognition and processing method and system described in the present invention, when the system determines that the person's labor protection equipment is not properly worn, the main control module controls the second motor to drive the guide wheel to rotate, and uses the guide block raised on its surface to cooperate with the spring to cause the pedal to vibrate up and down. On the one hand, the person can feel the vibration signal, prompting him that his labor protection equipment is not properly worn, and please wear relevant labor protection equipment before entering the site. On the other hand, since the device is located in a dirty construction site and people often step on it, it is easy for a lot of impurities such as sand and soil to remain on the surface of the pedal. By making the pedal vibrate, the sand and soil can be promoted to fall around, which plays a role in self-cleaning of the pedal and prevents construction workers from slipping and falling after standing on the pedal. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention will be further described below in conjunction with the accompanying drawings.

[0032] Figure 1 is a system block diagram of the present invention;

[0033] Figure 2 It is a structural schematic diagram of the image acquisition device and the gate machine in the present invention;

[0034] Figure 3 yes Figure 2 A partial enlarged view of the middle part;

[0035] Figure 4 is a cross-sectional view of the base and transition pad in the present invention;

[0036] Figure 5 yes Figure 4 A partial enlarged view of point B in the middle;

[0037] Figure 6 yes Figure 4 A partial enlarged view of point C in the middle;

[0038] Figure 7 It is a schematic flow chart of the method of the present invention.

[0039] In the figure: image acquisition device 1, gate machine 2, door frame 3, card reader 4, vertical slot 5, lifting block 6, visual camera 7, screw 8, base 9, transition pad 10, mounting slot 11, pedal 12, spring 13, guide wheel 14, guide block 15, anti-slip convex point 16, guide hole 17, cavity 18, air outlet 19, connecting hole 20, air inlet pipe 21, groove 22, sealing pad 23, movable sheet 24, elastic member 25. DETAILED DESCRIPTION

[0040] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0041] like Figures 1 to 6 As shown, the image analysis and recognition processing system based on artificial intelligence of the present invention comprises an image acquisition device 1, a data preprocessing module, an artificial intelligence analysis module, a result post-processing module, a main control module, a gate machine 2 and a transmission module;

[0042] The image acquisition device 1 is used to obtain initial image data at the construction site, that is, the wearing conditions of the labor protection equipment of the construction workers;

[0043] The data preprocessing module is used to perform standardization processing on the collected images, including image size adjustment, color space conversion and data enhancement, so as to adapt to the subsequent deep learning model input requirements;

[0044] The artificial intelligence analysis module uses a deep learning network model, such as a convolutional neural network (CNN) or a transformer architecture, to extract features and classify processed images. The model continuously improves recognition accuracy through training optimization algorithms.

[0045] The result post-processing module is used to further process the artificial intelligence analysis results, including data format conversion, information integration and error correction, to generate the final processing results and determine whether the wearing of labor protection equipment by construction workers meets the standards;

[0046] The main control module controls the working state of the gate 2 according to the judgment result of the result post-processing module;

[0047] The gate 2 executes one of the working states of "open to release" or "closed without releasing" under the instruction of the main control module;

[0048] The transmission module is used to upload image data, analysis results, and judgment results for user query and review. The uploading method can be wired or wireless, and uploaded to a backend server or a private cloud.

[0049] In the construction industry, workers need to wear appropriate labor protection equipment before entering the work site to prevent accidental injuries during the work process. However, in actual work, there are always a few people who intentionally or unintentionally enter the construction site without wearing labor protection equipment, which poses a great safety hazard. The current existing technology lacks a corresponding detection system for analyzing the wearing of labor protection equipment by construction workers.

[0050] The present invention is arranged at the entrance of the construction site. Before the construction personnel enter the site, the image data of the construction personnel are obtained through the image acquisition device 1, and the data preprocessing module, the artificial intelligence analysis module, and the result post-processing module are processed and analyzed in sequence to form the final detection result, and it is judged whether the wearing of the labor protection equipment of the personnel meets the relevant standards. If it meets the standards, the main control module controls the gate machine 2 to open and release, allowing the personnel to enter the construction site. If it does not meet the standards, the main control module controls the gate machine 2 to remain closed, and does not allow the personnel to enter the construction site, so as to prevent accidents and improve the safety supervision of construction operations.

[0051] When the artificial intelligence analysis module analyzes the wearing of labor protection equipment by construction workers, it includes whether safety helmets, work clothes, gloves, labor protection shoes and other equipment are worn or whether they are worn neatly and in place, such as whether the straps of the safety helmets are fastened, whether the buttons or zippers of the work clothes are fastened, whether there is any skin exposed, whether the clothes are damaged, etc. Of course, for some special workplaces, it may also include the wearing of labor protection equipment such as goggles, earplugs, safety belts, respirators, etc.

[0052] There are two image acquisition devices 1, which are respectively located at the front and rear sides of the gate 2. One of the image acquisition devices 1 is used to capture images of personnel when entering the site, and the gate 2 is opened to pass if it meets the standards. The other image acquisition device 1 is used to capture images of personnel when leaving the site to detect whether the labor protection equipment of the construction personnel is damaged, so as to realize the closed-loop supervision of the construction operation. Regardless of the detection result, the gate 2 is opened to pass. If the labor protection equipment is damaged, it means that there are certain accidents in the operation process that cause damage, and the operation of the relevant personnel or the relevant equipment may not be standardized. Through the deep learning analysis of the artificial intelligence analysis module, the safety level of this operation is assessed and the risk factors are analyzed, so as to provide reference for subsequent construction and management.

[0053] As a preferred embodiment of the present invention, the image acquisition device 1 includes a gantry 3; a card reader 4 is provided on the surface of the gantry 3; a pair of vertical slots 5 are symmetrically opened on the inner side of the gantry 3; a lifting block 6 is slidably connected inside the vertical slot 5; a visual camera 7 is fixedly connected on the surface of the lifting block 6; a lead screw 8 is rotatably connected inside the vertical slot 5, and the lead screw 8 passes through the lifting block 6 and is connected to it through a lead screw nut pair; a motor 1 for driving the lead screw 8 to rotate is provided inside the gantry 3. The construction personnel's ID is read by the card reader 4, and then the personnel stands inside the gantry 3, and the main control module controls the motor 1 to drive the lead screw 8 to rotate, thereby controlling the lifting blocks 6 on both sides to move from top to bottom or from bottom to top, and the visual camera 7 is used to scan and shoot the personnel, so as to collect visual images related to labor protection equipment, and the identity information of the personnel is recorded by the card reader 4, and then the name of the personnel can be attached when uploading data, providing more visual supervision information, which is convenient for tracing and accountability of related accidents.

[0054] As a preferred embodiment of the present invention, a base 9 is arranged under the door frame 3; a pair of inclined transition pads 10 are symmetrically arranged on both sides of the base 9; a mounting groove 11 is opened on the upper side of the base 9; a pedal 12 is slidably connected inside the mounting groove 11; a group of springs 13 are evenly distributed between the lower side of the pedal 12 and the bottom of the mounting groove 11; a guide wheel 14 is rotatably connected inside the mounting groove 11, and the guide wheel 14 is in contact with the lower side of the pedal 12; a group of guide blocks 15 are evenly distributed on the circumference of the surface of the guide wheel 14; a motor 2 for driving the guide wheel 14 to rotate is arranged inside the mounting groove 11. During the inspection, the construction worker stands on the surface of the pedal 12 of the base 9. When the system determines that the worker's labor protection equipment is not properly worn, the main control module controls the second motor to drive the guide wheel 14 to rotate, and uses the raised guide block 15 on its surface to cooperate with the spring 13, thereby causing the pedal 12 to vibrate up and down. On the one hand, the worker can feel the vibration signal, reminding him that his labor protection equipment is not properly worn, and please wear relevant labor protection equipment before entering the site. On the other hand, since the device is located in a dirty construction site and people often step on it, it is easy for a lot of sand, soil and other impurities to remain on the surface of the pedal 12. By making the pedal 12 vibrate, the sand and soil can be promoted to fall around, which plays a role in self-cleaning of the pedal 12, preventing construction workers from slipping and falling after standing on the pedal 12.

[0055] As a preferred embodiment of the present invention, a group of anti-skid convex points 16 are evenly distributed on the surface of the pedal 12; a guide hole 17 is opened inside the anti-skid convex points 16; a cavity 18 is opened inside the pedal 12; the cavity 18 and the mounting groove 11 are connected to each other through an air outlet 19; the cavity 18 and the middle of the guide hole 17 are connected to each other through a connecting hole 20. By providing the anti-skid convex points 16, the anti-skid performance of the pedal 12 is further improved. When the pedal 12 moves downward, the air inside the mounting groove 11 is squeezed, and the compressed air enters the guide hole 17 through the air outlet 19, the cavity 18, and the connecting hole 20, and is ejected outward through the two ends of the guide hole 17, blowing on the surface of the pedal 12, blowing away the sand and soil on the surface of the pedal 12 to the surroundings, and improving the cleaning efficiency of the pedal 12.

[0056] The installation groove 11 is connected to the outside of the base 9 through the air inlet pipe 21; the air inlet pipe 21 and the air outlet hole 19 are both provided with a one-way valve. By providing the one-way valve, when the pedal 12 moves downward, the air inside the installation groove 11 is discharged outward through the air outlet hole 19, and when the pedal 12 moves upward, negative pressure is generated inside the installation groove 11, and the outside air is sucked into the installation groove 11 through the air inlet pipe 21, forming a one-way air circulation, preventing the installation groove 11 from sucking air through the guide hole 17, and sucking sand on the surface of the pedal 12 into the cavity 18 and the inside of the installation groove 11, causing blockage.

[0057] As a preferred embodiment of the present invention, the guide hole 17 is designed to be an inverted "V" shape with a high middle and low ends; a groove 22 is provided at the joint between the pedal 12 and the base 9; a circle of elastic sealing gasket 23 is arranged inside the groove 22, and the sealing gasket 23 is fixedly connected to the pedal 12 and the base 9 respectively. Since the two ends of the guide hole 17 are inclined downward, the airflow can be inclined to the surface of the pedal 12 when the air is sprayed, thereby increasing the airflow's power to remove sand and soil on the surface of the pedal 12, and under normal circumstances, it is difficult for sand and soil to enter the connecting hole 20 through the guide hole 17. By providing the sealing gasket 23 to block the joint between the pedal 12 and the base 9, the pedal 12 can drive the sealing gasket 23 to deform when the pedal 12 moves, thereby preventing the problem of sand and soil entering the joint and causing the pedal 12 to increase its movement resistance. Moreover, when the pedal 12 moves downward, under the action of the compressed air inside the mounting groove 11, the air pressure can press the sealing gasket 23 upward along the joint, causing the sealing gasket 23 to bulge upward and bounce away the sand and soil on its surface.

[0058] As a preferred embodiment of the present invention, a pair of movable pieces 24 are hingedly connected in the middle of the guide hole 17, and the ends of the movable pieces 24 are attached to the inner wall surface of the guide hole 17; an elastic member 25 is fixedly connected between the movable pieces 24. Under normal circumstances, the pair of movable pieces 24 are attached to the inner wall of the guide hole 17 under the tension of the elastic member 25, so as to block the guide hole 17, further preventing foreign impurities such as sand and soil from entering the connecting hole 20 through the guide hole 17 and causing blockage. When the pedal 12 moves downward, the airflow passes through the connecting hole 20 and impacts the movable pieces 24 upward, causing the pair of movable pieces 24 to separate to both sides, and then the guide hole 17 is in a conducting state, and the airflow can smoothly pass through the guide hole 17 and spray outward.

[0059] like Figure 7 As shown, the image analysis, recognition and processing method based on artificial intelligence of the present invention adopts the above-mentioned image analysis, recognition and processing system based on artificial intelligence, and comprises the following steps:

[0060] S1: The construction worker's ID is read by the card reader 4, and the main control module controls the motor 1 to drive the lead screw 8 to rotate, thereby controlling the lifting blocks 6 on both sides to move up and down, and the visual camera 7 is used to scan and shoot the worker to collect visual images related to the labor protection equipment;

[0061] S2: The image data is processed and analyzed in sequence through the data preprocessing module, the artificial intelligence analysis module, and the result post-processing module to determine whether the wearing of the labor protection equipment of the person meets the standards;

[0062] S3: If the standard is met, the main control module controls the gate 2 to open and release; if the standard is not met, the main control module controls the gate 2 to remain closed;

[0063] S4: If the system determines that the wearing of the labor protection equipment does not meet the standard, the main control module controls the second motor to drive the guide wheel 14 to rotate, causing the pedal 12 to vibrate up and down, prompting the wearer that the labor protection equipment is not worn properly, and shaking off the sand on the surface of the pedal 12;

[0064] S5: When the pedal 12 moves downward, the air inside the mounting groove 11 is squeezed, and the compressed air enters the guide hole 17 through the air outlet 19, the cavity 18, and the connecting hole 20, and is ejected outward through both ends of the guide hole 17, further blowing away the sand on the surface of the pedal 12;

[0065] S6: When the pedal 12 moves upward, negative pressure is generated inside the installation groove 11, and external air is sucked into the installation groove 11 through the air intake pipe 21.

[0066] The above-mentioned front, back, left, right, top and bottom are all based on the figures in the specification. Figure 1As a benchmark, according to the person's observation perspective, the side of the device facing the observer is defined as the front, the left side of the observer is defined as the left, and so on.

[0067] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the scope of protection of the present invention.

[0068] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An image analysis, recognition and processing system based on artificial intelligence, characterized by: It comprises an image acquisition device (1), a data preprocessing module, an artificial intelligence analysis module, a result post-processing module, a main control module, a gate (2) and a transmission module; The image acquisition device (1) is used to obtain initial image data at the construction site, namely the wearing conditions of the construction workers' labor protection equipment; The data preprocessing module is used to perform standardization processing on the collected images, including image size adjustment, color space conversion and data enhancement, so as to adapt to the subsequent deep learning model input requirements; The artificial intelligence analysis module uses a deep learning network model to extract features and classify processed images. The model continuously improves recognition accuracy through training optimization algorithms. The result post-processing module is used to further process the artificial intelligence analysis results, including data format conversion, information integration and error correction, to generate the final processing results and determine whether the wearing of labor protection equipment by construction workers meets the standards; The main control module controls the working state of the gate (2) according to the judgment result of the result post-processing module; The gate machine (2) executes one of the working states of "open to release" or "closed without releasing" under the instruction of the main control module; The transmission module is used to upload image data, analysis results, and judgment results for user query and review.

2. The image analysis, recognition and processing system based on artificial intelligence according to claim 1, characterized in that: The number of the image acquisition devices (1) is two, and they are respectively located on the front and rear sides of the gate (2).

3. The image analysis, recognition and processing system based on artificial intelligence according to claim 2, characterized in that: The image acquisition device (1) comprises a door frame (3); a card reader (4) is arranged on the surface of the door frame (3); a pair of vertical slots (5) are symmetrically provided on the inner side of the door frame (3); a lifting block (6) is slidably connected inside the vertical slot (5); a visual camera (7) is fixedly connected to the surface of the lifting block (6); a lead screw (8) is rotatably connected inside the vertical slot (5), and the lead screw (8) passes through the lifting block (6) and is connected to it through a lead screw nut pair; a motor for driving the lead screw (8) to rotate is arranged inside the door frame (3).

4. The image analysis, recognition and processing system based on artificial intelligence according to claim 3 is characterized in that: A base (9) is arranged below the door frame (3); a pair of inclined transition pads (10) are symmetrically arranged on both sides of the base (9); a mounting groove (11) is provided on the upper side of the base (9); a pedal (12) is slidably connected inside the mounting groove (11); a group of springs (13) are evenly distributed between the lower side of the pedal (12) and the bottom of the mounting groove (11); a guide wheel (14) is rotatably connected inside the mounting groove (11), and the guide wheel (14) is in contact with the lower side of the pedal (12); a group of guide blocks (15) are evenly distributed on the circumference of the surface of the guide wheel (14); and a motor 2 for driving the guide wheel (14) to rotate is arranged inside the mounting groove (11).

5. The image analysis, recognition and processing system based on artificial intelligence according to claim 4, characterized in that: The surface of the pedal (12) is evenly distributed with a group of anti-skid protrusions (16); a guide hole (17) is provided inside the anti-skid protrusions (16); a cavity (18) is provided inside the pedal (12); the cavity (18) and the mounting groove (11) are communicated with each other through an air outlet (19); and the cavity (18) and the middle of the guide hole (17) are communicated with each other through a connecting hole (20).

6. The image analysis, recognition and processing system based on artificial intelligence according to claim 5, characterized in that: The installation groove (11) and the outside of the base (9) are connected to each other through an air inlet pipe (21); and one-way valves are provided inside the air inlet pipe (21) and the air outlet hole (19).

7. The image analysis, recognition and processing system based on artificial intelligence according to claim 6, characterized in that: The air hole is designed to be in an inverted "V" shape with a high middle and low ends; a groove (22) is provided at the joint between the pedal (12) and the base (9); a circle of elastic sealing gasket (23) is provided inside the groove (22), and the sealing gasket (23) is fixedly connected to the pedal (12) and the base (9) respectively.

8. The image analysis, recognition and processing system based on artificial intelligence according to claim 7, characterized in that: A pair of movable sheets (24) that are open to each other are hinged in the middle of the guide hole (17), and the ends of the movable sheets (24) are attached to the inner wall surface of the guide hole (17); and elastic members (25) are fixedly connected between the movable sheets (24).

9. An image analysis, recognition and processing method based on artificial intelligence, the method adopts the image analysis, recognition and processing system based on artificial intelligence according to claim 8, characterized in that: The following steps are involved: S1: The construction worker's ID is read by the card reader (4), and the main control module controls the motor 1 to drive the lead screw (8) to rotate, thereby controlling the lifting blocks (6) on both sides to move up and down, and the visual camera (7) is used to scan and photograph the worker to collect visual images related to the labor protection equipment; S2: The image data is processed and analyzed in sequence through the data preprocessing module, the artificial intelligence analysis module, and the result post-processing module to determine whether the wearing of the labor protection equipment of the person meets the standards; S3: If the standard is met, the main control module controls the gate (2) to open and release; if the standard is not met, the main control module controls the gate (2) to remain closed.

10. The image analysis and recognition processing method based on artificial intelligence according to claim 9 is characterized in that: The method further comprises the following steps: S4: If the system determines that the wearing of the labor protection equipment does not meet the standard, the main control module controls the second motor to drive the guide wheel (14) to rotate, causing the pedal (12) to vibrate up and down, prompting the wearer that the labor protection equipment is not worn properly, and shaking off the sand on the surface of the pedal (12); S5: When the pedal (12) moves downward, the air inside the mounting groove (11) is squeezed, and the compressed air enters the guide hole (17) through the air outlet (19), the cavity (18), and the connecting hole (20), and is ejected outward through both ends of the guide hole (17), thereby further blowing away the sand and soil on the surface of the pedal (12); S6: When the pedal (12) moves upward, negative pressure is generated inside the mounting groove (11), and external air is sucked into the mounting groove (11) through the air intake pipe (21).

Images