Top suspension type corridor crowd counting device based on image recognition

Abstract

The utility model discloses a top suspension type corridor crowd counting device based on image recognition, and relates to the technical field of AI recognition. The top suspension type corridor crowd counting device based on image recognition comprises a guide pipe, sliding grooves are formed in the four corners of the interior of the guide pipe, a fixing frame is arranged in the sliding grooves, spring grooves are formed in the lower end of the interior of the fixing frame, and fixing claws are rotationally connected to the four corners of the outer side of the fixing frame; a reset spring is connected between the inner side of the fixing claw and the spring groove, the lower end of the outer side of the guide pipe is sleeved with a hollow camera base, clamping plates are connected to the inner side of an opening in the lower end of the camera base in an array mode, a connecting support is arranged at the lower end of the camera base, and a hollow motor is connected to the lower end of the interior of the connecting support; the lower end of the outer side of the hollow motor is connected with a camera shell, an AI vision controller is installed in the camera shell, and the lower end of the camera shell is rotationally connected with a camera.

Description

Technical Field

[0001] The utility model relates to the technical field of AI recognition, in particular to an overhanging corridor crowd counting device based on image recognition. Background Technique

[0002] The main purpose of installing a passenger flow counting device in scenic spots, pedestrian street shopping centers is; in places such as scenic spots, central squares, bus stations and other traffic locations, count the passenger flow at each entrance and exit, collect data, and conduct real-time statistical analysis on various key data in the scenic area, so as to facilitate the management personnel to master and control the passenger flow at different locations, so as to make more detailed service and operation management strategies for different locations, and at the same time, some safety problems can be prevented. However, when installing the existing corridor crowd counting device, it is mostly necessary to remove a part of the ceiling, then drill holes at the installation positions, place the base of the camera on the upper end of the ceiling, and the imaging part is located at the lower end. After fixing it with screws, the ceiling can be installed again, which is more troublesome to use. Therefore, an overhanging corridor crowd counting device based on image recognition is designed to solve the above problems. Content of the Utility Model

[0003] (1) Technical Problems to be Solved

[0004] Aiming at the deficiencies of the prior art, the utility model provides an overhanging corridor crowd counting device based on image recognition, which solves the problem that the existing corridor crowd counting device needs to remove the ceiling on the corridor before it can be installed, and is more troublesome to use.

[0005] (2) Technical Solutions

[0006] To achieve the above objectives, the utility model is realized through the following technical solutions:

[0007] The utility model provides an overhead corridor crowd counting device based on image recognition, which comprises: a conduit with a hollow interior and bosses connected to both the upper and lower ends. Four corners inside the conduit are provided with chutes, and a cross-shaped fixing frame is arranged inside the chutes. A spring groove is opened at the lower end inside the fixing frame. Four corners on the outside of the fixing frame are rotatably connected with fixing claws, and a return spring is connected between the inner side of the fixing claws and the spring groove. The lower end of the outside of the conduit is sleeved with a camera base with a hollow interior and an open lower end. The camera base is connected to the fixing claws by screws. Inside the open lower end of the camera base, card plates are connected in an array. A circuit plug is connected between the upper end inside the camera base and one of the card plates. A connecting bracket is arranged at the lower end of the camera base. The outer circumference of the connecting bracket is inserted and connected to the camera base. On the front left side of the outer circumference of the connecting bracket, a circuit socket is connected. A conductive slip ring is connected inside the connecting bracket. A hollow motor is connected to the lower end inside the connecting bracket. The lower end of the outside of the hollow motor is connected to a camera housing. An up-and-down swing motor is connected to the upper end inside the camera housing. An AI vision controller is installed inside the camera housing. A camera is rotatably connected to the lower end of the camera housing. The output end of the up-and-down swing motor is connected to the rotating shaft on the left side of the camera through a gear. The circuit plug is electrically connected to the circuit socket, the conductive slip ring, the hollow motor, the up-and-down swing motor, the camera, and the AI vision controller.

[0008] Preferably, auxiliary lights are connected to both the outer circumference of the lower surface on the upper side of the camera housing and the front surface of the camera. The auxiliary lights are electrically connected to the conductive slip ring.

[0009] Preferably, the holes at the connection between the camera base and the fixing claws are countersunk holes.

[0010] Preferably, chamfers are opened at the upper ends of the clamping claws on the outer circumference of the upper end of the connecting bracket.

[0011] Preferably, sealing rings are connected to both the upper surface of the lower boss of the conduit, the outer circumference of the upper surface of the connecting bracket, and the outer circumference of the camera housing.

[0012] Preferably, the fixing frame, the fixing claws, and the camera base are all made of aluminum alloy.

[0013] Preferably, a wireless information transceiver module is installed inside the AI vision controller.

[0014] (III) Beneficial effects

[0015] The utility model provides an overhead corridor crowd counting device based on image recognition. Compared with the prior art, it has at least the following beneficial effects:

[0016] When installing the overhead image recognition-based corridor crowd counting device, only need to drill installation holes at the position where installation is required, and then insert the fixing claws into the upper end of the ceiling to complete the installation. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic structural diagram of the present utility model;

[0018] Figure 2 It is a bottom-up view of the present utility model;

[0019] Figure 3 It is a left view of the present utility model;

[0020] Figure 4 It is an exploded view of the present utility model;

[0021] Figure 5 It is an exploded view of the lower left side of the present utility model;

[0022] Figure 6 It is a partial enlarged view of the present utility model.

[0023] In the figure: 1, conduit; 2, chute; 3, fixing frame; 4, fixing claw; 5, return spring; 6, camera base; 7, clamping plate; 8, line plug; 9, connecting bracket; 10, line socket; 11, conductive slip ring; 12, hollow motor; 13, camera housing; 14, camera; 21, auxiliary lamp. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] Next, the technical solutions in the embodiments of the present utility model will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present utility model. Obviously, the described embodiments are only a part of the embodiments of the present utility model, rather than all the embodiments. Based on the embodiments in the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present utility model.

[0025] Please refer to Figures 1-5, the present utility model provides a technical solution: an upper-hung corridor crowd counting device based on image recognition, comprising: a conduit 1 with a hollow interior and bosses connected to both the upper and lower ends, wherein chutes 2 are provided at the four corners inside the conduit 1, a cross-shaped fixing frame 3 is arranged inside the chutes 2, a spring groove is provided at the lower end inside the fixing frame 3, fixing claws 4 are rotatably connected to the four corners outside the fixing frame 3, a return spring 5 is connected between the inner side of the fixing claws 4 and the spring groove, a camera base 6 with a hollow interior and an open lower end is sleeved on the lower end outside the conduit 1, the camera base 6 is connected to the fixing claws 4 by screws, card plates 7 are connected in an array on the inner side of the open lower end of the camera base 6, a line plug 8 is connected between the upper end inside the camera base 6 and one of the card plates 7, a connecting bracket 9 is arranged at the lower end of the camera base 6, the outer circumference of the connecting bracket 9 is inserted and connected to the camera base 6, a line socket 10 is connected to the left front end of the outer side of the connecting bracket 9, a conductive slip ring 11 is connected inside the connecting bracket 9, a hollow motor 12 is connected to the lower end inside the connecting bracket 9, a camera housing 13 is connected to the lower end outside the hollow motor 12, an up-and-down swing motor is connected to the upper end inside the camera housing 13, an AI vision controller is installed inside the camera housing 13, a camera 14 is rotatably connected to the lower end of the camera housing 13, and the output end of the up-and-down swing motor is connected to the rotating shaft on the left side of the camera 14 through gears. The line plug 8 is electrically connected to the line socket 10, the conductive slip ring 11, the hollow motor 12, the up-and-down swing motor, the camera 14, and the AI vision controller.

[0026] During use, first drill holes at the position where installation is required, then open four holes at the four corners, squeeze the fixing claws 4 inward, and then push the catheter 1 and the fixing bracket 3 together into the larger hole in the middle. After pushing them up, the return spring 5 will eject the fixing claws 4. Then align the holes of the fixing claws 4 with the four holes at the edge, and then lift the camera base 6 upward and lock the screws to fix the camera base 6. Then push the connecting bracket 9 and the part connected to its lower end into the camera base 6, and then rotate it by 30°. At this time, the line plug 8 will be inserted into the line socket 10, and the claws on the outer side of the connecting bracket 9 will also be clamped between the clamping plate 7 and the camera base 6, thereby fixing the connecting bracket 9 and completing the installation of the camera 14 and the circuit installation. If it is a hidden line, it can be directly connected to the conductive slip ring 11 through the catheter 1. During use, the camera 14 will record the scene, and at the same time transmit the video to the inside of the AI vision controller. After extracting the features through the algorithm, then match these features with the template for judgment. After confirmation, record these numbers and transmit the picture and data to the terminal together, and record the moving data until the individual walks out of the picture. When the angle needs to be adjusted, start the hollow motor 12, which can drive the camera housing 13 to rotate, thereby changing the horizontal angle of the camera 14. When the up-and-down angle needs to be changed, start the up-and-down swing motor to drive the camera 14 to swing up and down.

[0027] As Figures 1-4 shown, an embodiment of the present invention provides an implementation manner. Based on the above implementation manner, auxiliary lights 21 are connected to the outer circumference of the lower surface of the upper side of the camera housing 13 and the front surface of the camera 14, and the auxiliary lights 21 are electrically connected to the conductive slip ring 11.

[0028] Analyzing the above structure, it can be seen that when the environment is relatively dark, the auxiliary lights 21 can be started to help illuminate the environment and assist in shooting.

[0029] As Figures 1-4 shown, an embodiment of the present invention provides an implementation manner. Based on the above implementation manner, the holes at the connection between the camera base 6 and the fixing claws 4 are countersunk holes.

[0030] Analyzing the above structure, it can be seen that the holes at the connection between the camera base 6 and the fixing claws 4 are countersunk holes, and the screw heads of the connections can be inserted inside.

[0031] As Figures 1-4 shown, an embodiment of the present invention provides an implementation manner. Based on the above implementation manner, chamfers are provided at the upper ends of the claws on the outer circumference of the upper end of the connecting bracket 9.

[0032] Analyzing the above structure, it can be seen that the chamfers provided at the upper ends of the clamping claws on the outer periphery of the upper end of the connecting bracket 9 can play a guiding role to assist in the insertion of the connecting bracket 9.

[0033] As Figures 1-4 shown, an embodiment of the present invention provides an implementation manner. Based on the above implementation manner, sealing rings are connected to the upper surface of the lower end boss of the conduit 1, the outer periphery of the upper surface of the connecting bracket 9, and the outer periphery of the camera housing 13.

[0034] Analyzing the above structure, it can be seen that sealing rings are connected to the upper surface of the lower end boss of the conduit 1, the outer periphery of the upper surface of the connecting bracket 9, and the outer periphery of the camera housing 13, which can prevent rainwater from entering the interior of the overhead image recognition-based corridor crowd counting device.

[0035] As Figures 1-5 shown, an embodiment of the present invention provides an implementation manner. Based on the above implementation manner, the fixing frame 3, the fixing claw 4, and the camera base 6 are all made of aluminum alloy.

[0036] Analyzing the above structure, it can be seen that the fixing frame 3, the fixing claw 4, and the camera base 6 being made of aluminum alloy can ensure basic strength while having a relatively light mass.

[0037] As Figures 1-5 shown, an embodiment of the present invention provides an implementation manner. Based on the above implementation manner, a wireless information transceiver module is installed inside the AI vision controller.

[0038] Analyzing the above structure, it can be seen that when connection and reception by other devices are required, connection can be made through the wireless information transceiver module.

[0039] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0040] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An overhead corridor crowd counting device based on image recognition, characterized in that, Including: A catheter (1) with a hollow interior and bosses connected to both the upper and lower ends. There are sliding grooves (2) opened at the four corners inside the catheter (1). A cross-shaped fixing frame (3) is arranged inside the sliding grooves (2). A spring groove is opened at the lower end inside the fixing frame (3). The outer four corners of the fixing frame (3) are rotatably connected with fixing claws (4). A reset spring (5) is connected between the inner side of the fixing claws (4) and the spring groove. A camera base (6) with a hollow interior and an open lower end is sleeved on the lower outer side of the catheter (1). The camera base (6) is connected to the fixing claws (4) by screws. Card plates (7) are connected in an array on the inner side of the open lower end of the camera base (6). A circuit plug (8) is connected between the upper end inside the camera base (6) and one of the card plates (7). A connecting bracket (9) is arranged at the lower end of the camera base (6). The outer circumference of the connecting bracket (9) is inserted and connected with the camera base (6). A circuit socket (10) is connected to the left side of the front end of the outer side of the connecting bracket (9). A conductive slip ring (11) is connected inside the connecting bracket (9). A hollow motor (12) is connected to the lower end inside the connecting bracket (9). The lower outer side of the hollow motor (12) is connected to a camera housing (13). An up-and-down swing motor is connected to the upper end inside the camera housing (13). An AI vision controller is installed inside the camera housing (13). A camera (14) is rotatably connected to the lower end of the camera housing (13). The output end of the up-and-down swing motor is connected to the rotating shaft on the left side of the camera (14) through gears. The circuit plug (8) is electrically connected to the circuit socket (10), the conductive slip ring (11), the hollow motor (12), the up-and-down swing motor, the camera (14), and the AI vision controller.

2. The overhung corridor crowd counting device based on image recognition according to claim 1, characterized in that: Auxiliary lights (21) are connected to the outer circumference of the lower surface of the upper side of the camera housing (13) and the front surface of the camera (14). The auxiliary lights (21) are electrically connected to the conductive slip ring (11).

3. The overhead type corridor crowd counting device based on image recognition according to claim 1, characterized in that: The holes at the connection between the camera base (6) and the fixing claws (4) are counterbored holes.

4. The overhead type corridor crowd counting device based on image recognition according to claim 1, characterized in that: Chamfers are opened at the upper ends of the claws on the outer circumference of the upper end of the connecting bracket (9).

5. The overhead type corridor crowd counting device based on image recognition according to claim 1, wherein: Sealing rings are connected to the upper surface of the lower boss of the catheter (1), the outer circumference of the upper surface of the connecting bracket (9), and the outer circumference of the camera housing (13).

6. The overhead type corridor crowd counting device based on image recognition according to claim 1, characterized in that: The fixing frame (3), the fixing claws (4), and the camera base (6) are all made of aluminum alloy.

7. The overhead type corridor crowd counting device based on image recognition according to claim 1, characterized in that: A wireless information transceiver module is installed inside the AI vision controller.

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