Image recognition device based on artificial intelligence

Abstract

The utility model relates to an image recognition device based on artificial intelligence. Comprising a rack, a control assembly, a rotating assembly and trundles, the rack is of a C-shaped structure with a recognition cavity defined by three faces, a detection head included by the control assembly is arranged at the position of an upper cavity of the recognition cavity, a vertical rotating rod included by the rotating assembly is of an I-shaped structure, and a rotating shaft at one end of the vertical rotating rod is rotatably connected to the rack; the upper end face of the operation table is rotationally connected with a transverse rotating rod provided with a displayer, and the displayer is electrically connected with the detection head. According to the utility model, the device is flexibly pushed onto a conveyor belt between production equipment of different processes, the probe in the identification cavity carries out image identification and detection, automatic quality inspection is carried out on parts passing through the conveyor belt, and the quality inspection is displayed through the display; and meanwhile, defective parts can be screened out through image recognition by a computer or software algorithm, so that an artificial intelligence solution is realized.

Description

Technical Field

[0001] The utility model belongs to the technical field of artificial intelligence, and in particular relates to an image recognition device based on artificial intelligence. Background Art

[0002] In the current industrial production, when faced with large-scale production of small components or parts, batch production is required. Often, during the production process, it is necessary to transfer the finished products between processes through conveyor belts. When the production process involves multiple different processes, it is particularly important whether the products produced in each process meet the requirements. After all, when defective or inferior products are produced, if they enter the next process, it will not only waste subsequent processing resources, but serious defects may even damage the production machines. Therefore, it is necessary to conduct necessary quality inspections on the finished products. However, not every production equipment will be equipped with quality inspection equipment at the beginning of leaving the factory, and manual visual screening and inspection is extremely cumbersome and time-consuming. In addition, it is difficult to find subtle defects through manual quality inspection. Machines without quality inspection equipment need to add additional equipment, which not only requires shutdown for equipment modification, but is also a major problem for factories with insufficient workshop space. Utility Model Content

[0003] In order to solve the above technical problems, the utility model provides an image recognition device based on artificial intelligence. By pushing the device onto the conveyor belt between production equipment in different processes, the probe in the recognition cavity performs image recognition detection, and the parts passing through the conveyor belt are automatically quality inspected and displayed on the display. The device can be flexibly applied to different conveyor belts, and image recognition can also be used by computer or software algorithms to screen out defective parts, thereby realizing an artificial intelligence solution.

[0004] In order to achieve the above purpose, the technical solution adopted by the utility model is:

[0005] An image recognition device based on artificial intelligence includes a frame, a control component, a rotating component and casters. The frame is a C-shaped structure surrounded by three sides, and the C-shaped structure of the frame is an identification cavity. The control component includes a display and a detection head, and the detection head is arranged at the upper cavity of the identification cavity. The rotating component includes an operating table, a vertical rotating rod and a horizontal rotating rod. The vertical rotating rod is an I-shaped structure with rotating shafts at both ends. The rotating shaft at one end of the vertical rotating rod can be rotatably connected to the frame, and the rotating shaft at the other end of the vertical rotating rod can be rotatably connected to the operating table. The upper end surface of the operating table is rotatably connected with a horizontal rotating rod, the display is arranged on the horizontal rotating rod, and a receiving groove is provided on the operating table. The display is electrically connected to the detection head; the casters are connected to the bottom end of the frame, and a handle is provided on the outer side wall of the frame.

[0006] The artificial intelligence-based image recognition device adopts this structure. The frame is a C-shaped structure formed by three sides and forming an identification cavity therein. Casters are connected to the lower end of the frame to facilitate pushing the frame in the workshop and inserting the frame into the area where the conveyor belt is located. In order to realize image recognition detection of parts on the conveyor belt, a detection head is set at the upper end of the inner cavity of the identification cavity. The detection head points downward and can detect whether the surface production of the part meets the standards or whether there are defects through image recognition or ultrasonic detection. For parts that need to be fixed in each mold sleeve on the conveyor belt, it can detect whether they have been placed intact in the mold. Through the part detection at this location, defective or improperly placed parts can be screened or Adjustment. Since the space environment in the workshop may not be able to fully accommodate the device, and the display is a particularly space-consuming device, a rotating component is installed between the frame and the display. The vertical rotating rod is an I-shaped structure with rotating shafts at both ends. The operating table is connected to the frame through the vertical rotating rod, so that the operating table can be moved up and down, and the horizontal rotating rod is moved left and right on the operating table, and the display can be rotated left and right, so as to adjust the display to a suitable position for the operator to view it conveniently while avoiding some of the original production equipment in the workshop. The storage slot on the operating table is used to place tools such as keyboards and mice. In order to facilitate the pushing of the device, a handle is also provided on the outer wall of the frame, which can facilitate the operator to pull or push the device.

[0007] Furthermore, an observation groove is provided on the outer side wall of the frame, an observation hole connected to the identification cavity is provided in the observation groove, a fixing frame is detachably connected to the observation groove, and explosion-proof glass is sandwiched between the observation groove and the fixing frame.

[0008] Compared with the prior art, the advantages of the utility model are: through the C-shaped frame, the frame can be inserted into the area where the conveyor belt is located when the frame is pushed, and the detection head in the identification cavity performs image recognition or ultrasonic detection to realize artificial intelligence detection, and recognizes through the algorithm of computer software, so that defective or improperly placed parts can be screened or adjusted before entering the subsequent production process. It is particularly suitable for production lines where no detection equipment is installed, or where the workshop space is insufficient to add additional detection equipment. The flexibly movable frame can detect parts on different conveyor belts, and the setting of the rotating component enables the display to rotate left and right, and the operating table to move up and down, which is convenient for the operator to view and can also avoid some existing production equipment in the workshop. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the embodiments of the utility model or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the utility model. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0010] Figure 1 It is a top perspective view of the utility model;

[0011] Figure 2 It is a bottom-up stereogram of the present utility model;

[0012] Figure 3 It is a front view of the utility model;

[0013] Figure 4 For the utility model Figure 3 AA section view.

[0014] Among them: 1. frame; 11. identification chamber; 12. observation slot; 13. observation hole; 14. fixing frame; 15. handle; 2. control component; 21. display; 22. detection head; 3. rotation component; 31. operating table; 32. vertical rotating rod; 33. horizontal rotating rod; 34. receiving slot; 35. rotating shaft; 4. casters. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the utility model clearer, the technical solution of the utility model will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments of the utility model, all other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the utility model.

[0016] The specific implementation of the utility model will be described below in conjunction with the accompanying drawings:

[0017] like Figure 1-4As shown, an image recognition device based on artificial intelligence includes a frame 1, a control component 2, a rotating component 3 and a caster 4, wherein the frame 1 is a C-shaped structure surrounded by three sides, and the C-shaped structure of the frame 1 is inside a recognition cavity 11, the control component 2 includes a display 21 and a detection head 22, and the detection head 22 is arranged at the upper cavity of the recognition cavity 11, and the rotating component 3 includes an operating table 31, a vertical rotating rod 32 and a horizontal rotating rod 33, and the vertical rotating rod 32 is provided with a rotating shaft 3 at both ends. 5, one end shaft 35 of the vertical rotating rod 32 is rotatably connected to the frame 1, the other end shaft 35 of the vertical rotating rod 32 is rotatably connected to the operating table 31, the upper end surface of the operating table 31 is rotatably connected with a horizontal rotating rod 33, the display 21 is arranged on the horizontal rotating rod 33, the operating table 31 is provided with a receiving groove 34, the display 21 is electrically connected to the detection head 22; the caster 4 is connected to the bottom end of the frame 1, and the outer side wall of the frame 1 is provided with a handle 15.

[0018] Furthermore, an observation slot 12 is provided on the outer wall of the frame 1, and an observation hole 13 connected to the identification cavity 11 is provided in the observation slot 12. A fixing frame 14 is detachably connected to the observation slot 12, and explosion-proof glass is sandwiched between the observation slot 12 and the fixing frame 14.

[0019] Description of the working method of this utility model:

[0020] The artificial intelligence-based image recognition device adopts this structure. The frame 1 is a C-shaped structure formed by three sides and forming an identification cavity 11 therein. The lower end of the frame 1 is connected with a caster 4, so as to facilitate the pushing of the frame 1 in the workshop and insert the frame 1 into the area where the conveyor belt is located. In order to realize the image recognition detection of the parts on the conveyor belt, a detection head 22 is set at the upper end of the inner cavity of the identification cavity 11. The detection head 22 points downward and can detect whether the surface production of the part meets the standard or whether there are defects through image recognition or ultrasonic detection. For the parts that need to be fixed in each mold sleeve on the conveyor belt, it can be detected whether they have been placed intact in the mold. Through the part detection at this location, defective or improperly placed parts can be screened or adjusted before entering the subsequent production process. Due to the air in the workshop The room environment may not be able to fully accommodate the device, and the display 21 is a device that takes up a lot of space. Therefore, a rotating component 3 is installed between the frame 1 and the display 21. The vertical rotating rod 32 is an I-shaped structure with rotating shafts 35 at both ends. The operating table 31 is connected to the frame 1 through the vertical rotating rod 32, so that the operating table 31 can be moved up and down, and the horizontal rotating rod 33 is moved left and right on the operating table 31, and the display 21 can be rotated left and right, so as to adjust the display 21 to a suitable position for the operator to view it conveniently, and at the same time, some original production equipment in the workshop can be avoided. The accommodating groove 34 on the operating table 31 is used to place tools such as keyboards and mice. In order to facilitate the pushing of the device, a handle 15 is also provided on the outer wall of the frame 1, which can facilitate the operator to pull or push the device.

[0021] Some newly produced parts have a high temperature or may affect the human eye. In addition to image detection by the machine, auxiliary observation is occasionally required through the human eye. However, direct observation through the human eye will cause irreversible damage to the eyes. Therefore, an observation slot 12 is added to the frame 1. The conveyor belt in the identification chamber 11 can be directly observed through the observation hole 13 on the observation slot 12. In order to avoid possible temperature transfer caused by the parts, explosion-proof glass or colored glass can be installed on the observation slot 12 and clamped by a fixed frame 14. The setting of explosion-proof glass or colored glass can effectively reduce the impact of the parts on the human eye.

[0022] The beneficial effects of the utility model are as follows: through the C-shaped frame 1, the frame 1 can be inserted into the area where the conveyor belt is located when the frame 1 is pushed, and the detection head 22 in the identification cavity 11 performs image recognition or ultrasonic detection to realize artificial intelligence detection, and recognizes through the algorithm of computer software, so that defective or improperly placed parts can be screened or adjusted before entering the subsequent production process. It is particularly suitable for production lines where no detection equipment is installed, or where the workshop space is insufficient to add additional detection equipment. The flexibly movable frame can detect parts on different conveyor belts, and the setting of the rotating component 3 realizes that the display 21 can rotate left and right, and the operating table 31 can move up and down, which is convenient for the operator to view and can also avoid some existing production equipment in the workshop. The observation hole 13 on the frame 1 can facilitate the operator to perform visual inspection of the parts driven by the conveyor belt in the identification cavity 11, and the added explosion-proof glass or colored glass can avoid the impact of the parts on the human eye.

[0023] The above embodiments are only used to illustrate the technical solution of the utility model, rather than to limit it. Although the utility model is described in detail with reference to the above embodiments, ordinary technicians in this field should understand that they can still modify the technical solutions recorded in the above embodiments, or replace some or all of the technical features therein with equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the utility model.

Claims

1. An image recognition device based on artificial intelligence, characterized in that: The invention comprises a frame, a control component and casters, wherein the frame is a C-shaped structure enclosed on three sides, the C-shaped structure of the frame is an identification cavity, the control component comprises a display and a detection head, the display is arranged at the upper end of the frame, the detection head is arranged at the upper cavity of the identification cavity, the display is electrically connected to the detection head, and the casters are connected to the bottom end of the frame.

2. The image recognition device based on artificial intelligence according to claim 1, characterized in that: It also includes a rotating assembly, which includes an operating table, a vertical rotating rod and a horizontal rotating rod. The vertical rotating rod is an I-shaped structure with rotating shafts at both ends. The rotating shaft at one end of the vertical rotating rod can be rotatably connected to the frame, and the rotating shaft at the other end of the vertical rotating rod can be rotatably connected to the operating table. The upper end surface of the operating table is rotatably connected to the horizontal rotating rod, and the display is arranged on the horizontal rotating rod.

3. The image recognition device based on artificial intelligence according to claim 2, characterized in that: The operating table is provided with a containing groove.

4. The image recognition device based on artificial intelligence according to claim 1, characterized in that: An observation groove is arranged on the outer side wall of the frame, and an observation hole communicating with the identification cavity is arranged in the observation groove.

5. The image recognition device based on artificial intelligence according to claim 4, characterized in that: The observation groove is detachably connected with a fixing frame, and explosion-proof glass is sandwiched between the observation groove and the fixing frame.

6. The image recognition device based on artificial intelligence according to claim 1, characterized in that: A handle is provided on the outer side wall of the frame.

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