Intelligent detection equipment for wooden tableware

Abstract

The utility model relates to the technical field of wooden product detection, in particular to intelligent detection equipment for wooden tableware, which comprises a first support, a second support, a turnover mechanism, a transmission mechanism, a light source mechanism, an image acquisition module and a processing module. The transmission mechanism penetrates through the first support, the turnover mechanism and the second support, the light source mechanism and the image acquisition module are installed on the first support and the second support respectively, and the image acquisition module is connected with the processing module. According to the utility model, image identification of the wooden tableware to be detected is realized through the processing module and the image acquisition module, so that surface flaws are detected. According to the utility model, the dependence of an automatic production line on manpower is reduced, the expenditure of labor cost is reduced, meanwhile, the production efficiency is also improved, the production cost of products is reduced, and the market competitiveness is enhanced.

Description

Technical Field

[0001] The utility model relates to the technical field of wooden product detection, in particular to an intelligent detection device for wooden tableware. Background Art

[0002] Traditional wooden tableware inspection equipment is often operated manually, requiring manual inspection of both sides of the product, which is inefficient and has a high error rate. In recent years, with the improvement of computing power and data processing capabilities, artificial intelligence has played an important role in various fields. In the field of image recognition, the development of artificial intelligence algorithms such as deep learning has made the automatic identification of target objects more accurate and efficient. However, existing visual inspection equipment often also requires manual placement of the items to be tested in a designated location, and after one side is inspected, the worker flips it over for another inspection, which also has the problem of low efficiency. Summary of the invention

[0003] The utility model provides an intelligent detection device for wooden tableware to solve the technical problem of low detection efficiency in the prior art.

[0004] The technical solution adopted by the utility model is as follows: an intelligent detection device for wooden tableware, comprising: a first bracket, a second bracket, a flip mechanism, a transmission mechanism, a light source mechanism, an image acquisition module and a processing module, wherein the first bracket and the second bracket are respectively mounted on both sides of the flip mechanism, the transmission mechanism passes through the first bracket, the flip mechanism and the second bracket, the light source mechanism and the image acquisition module are respectively mounted on the first bracket and the second bracket, and the image acquisition module is connected to the processing module;

[0005] The transmission mechanism is used to transmit the wooden tableware to be detected, the light source mechanism is used to provide a light source, the image acquisition module on the first bracket is used to capture an image of one side of the wooden tableware to be detected, the flipping mechanism is used to flip the wooden tableware to be detected, the image acquisition module on the second bracket is used to capture an image of the other side of the wooden tableware to be detected, and the processing module is used to perform image recognition on both sides of the wooden tableware to be detected based on the captured images.

[0006] Furthermore, the flipping mechanism includes: a fixed bracket, a rotating shaft, a flipping gear and an external power wheel, both ends of the rotating shaft are mounted on the fixed bracket, the flipping gear is sleeved on the rotating shaft, and the external power wheel is mounted on one end of the rotating shaft.

[0007] Furthermore, it also includes a cleaning mechanism, which is installed above the transmission mechanism and is used to clean the other side of the wooden tableware to be detected after the turning mechanism turns over the wooden tableware to be detected.

[0008] Furthermore, the cleaning mechanism includes a transmission shaft, a cleaning wheel, a rotating bracket and a driving wheel, the cleaning wheel is sleeved on the transmission shaft, both ends of the transmission shaft are installed on the rotating bracket, and one end of the transmission shaft is connected to the driving wheel.

[0009] Furthermore, a fixed block is provided below the cleaning wheel, and the fixed block is used to fix the wooden tableware to be detected.

[0010] Furthermore, the image acquisition module includes a camera, and the camera is installed on the top of the first bracket and the second bracket through an adjustment bracket.

[0011] Furthermore, the light source mechanism includes a first backlight mechanism and a second backlight mechanism, the first backlight mechanism is installed above the transmission mechanism, and the second backlight mechanism is installed below the transmission mechanism.

[0012] Furthermore, the first backlight mechanism includes a backlight bracket, a first backlight lamp and a second backlight lamp, the first backlight lamp is mounted on the upper end surface of the backlight bracket, the second backlight lamp is mounted on the lower end surface of the backlight bracket, and the backlight bracket is mounted on the first bracket and the second bracket.

[0013] Furthermore, the second backlight mechanism comprises a backlight box with an open top surface and a third backlight lamp arranged inside the backlight box, and the top surface of the backlight box faces the transmission mechanism.

[0014] Furthermore, it also includes a light shield, which is arranged on the first bracket and the second bracket and is used to shield the first bracket and the second bracket from light.

[0015] Beneficial effects of the utility model: The utility model realizes image recognition of the wooden tableware to be detected through the processing module and the image acquisition module, thereby detecting surface defects, and realizes turning over the wooden tableware to be detected through the flipping mechanism, thereby detecting the two sides of the wooden tableware to be detected. The utility model reduces the dependence of the automated production line on labor, reduces the expenditure of labor costs, and also improves production efficiency, reduces the production cost of products, and enhances market competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a structural schematic diagram of the utility model.

[0017] Figure 2 It is an application schematic diagram of the utility model.

[0018] Figure 3 It is a schematic diagram of the first bracket and the second bracket in the utility model.

[0019] Figure 4It is a schematic diagram of the first backlight mechanism in the utility model.

[0020] Figure 5 It is a schematic diagram of the second backlight mechanism in the utility model.

[0021] Figure 6 It is a schematic diagram of the turning mechanism in the utility model.

[0022] Figure 7 It is a schematic diagram of the cleaning mechanism in the utility model. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the solution of the utility model, the technical solution in the embodiment of the utility model will be clearly and completely described below in conjunction with the drawings in the embodiment of the utility model. The described embodiment is only a part of the embodiment of the utility model, not all of the embodiments. Based on the embodiment of the utility model, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the utility model.

[0024] In an embodiment of the present utility model, Figure 1 and Figure 2 This is a structural schematic diagram provided according to the specific structure of an intelligent detection device for wooden tableware of the utility model. Figure 1 and Figure 2 As shown, the utility model specifically includes:

[0025] A first bracket 1, a second bracket 2, a flipping mechanism 3, a transmission mechanism 5, a light source mechanism, an image acquisition module 6 and a processing module. The first bracket 1 and the second bracket 2 are respectively installed on both sides of the flipping mechanism 3, and the transmission mechanism 5 passes through the first bracket 1, the flipping mechanism 3 and the second bracket 2. The light source mechanism and the image acquisition module 6 are respectively installed on the first bracket 1 and the second bracket 2, and the image acquisition module 6 is connected to the processing module.

[0026] The transmission mechanism 5 is used to transmit the wooden tableware to be detected, and is specifically a transmission chain device. The light source mechanism is used to provide a light source. When the transmission mechanism 5 transmits the wooden tableware to be detected to the bottom of the first bracket 1, the image acquisition module 6 on the first bracket 1 is used to capture an image of one side of the wooden tableware to be detected. When the transmission mechanism 5 transmits the wooden tableware to be detected to the flipping mechanism 3, the flipping mechanism 3 is used to flip the wooden tableware to be detected. When the transmission mechanism 5 transmits the wooden tableware to be detected to the bottom of the second bracket 2, the image acquisition module 6 on the second bracket 2 is used to capture an image of the other side of the wooden tableware to be detected.

[0027] like Figure 3As shown, the image acquisition module 6 includes a camera, which is installed on the top of the first bracket 1 and the second bracket 2 by adjusting the bracket. The placement of the high-definition camera is adjusted by adjusting the bracket, so that it can fully capture the surface image of the object in an all-round manner.

[0028] The processing module is used to perform image recognition on both sides of the wooden tableware to be inspected based on the captured images. The processing module can specifically adopt a host computer or a single-chip microcomputer or an MCU, etc., which is required to have a data processing function. Inside the processing module, a corresponding image recognition program is run, and feature extraction and target object recognition are performed through the captured image and the internal pre-stored image through an image algorithm, so as to determine whether there are defects on the surface. The above-mentioned image recognition algorithm and image comparison algorithm are well known to those skilled in the art. This patent is implemented using an existing image algorithm, and the image algorithm is not improved, so it will not be repeated here.

[0029] In one embodiment of the present invention, Figure 6 As shown, the flipping mechanism 3 includes: a fixed bracket 31, a rotating shaft 32, a flipping gear 33 and an external power wheel 34. Both ends of the rotating shaft 32 are installed on the fixed bracket 31, and can be fixed by a rotating shaft fixing buckle 46. The flipping gear 33 is sleeved on the rotating shaft 32, and one end of the rotating shaft 32 is connected to the external power wheel 34.

[0030] Among them, the fixed bracket 31 can be installed on both sides of the transmission device as needed, so that the rotating shaft 32 is mounted on the transmission mechanism 5, the flip gear 33 is installed on the transmission shaft 42 through the flip wheel fixing buckle 45, the external power wheel 34 rotates through the driving device, thereby driving the flip gear 33 to rotate, and the transmission mechanism 5 transmits the wooden tableware to be detected to the gear slot of the flip gear 33, and the flip gear 33 drives the wooden tableware to be detected to rotate, thereby realizing the flipping of the wooden tableware to be detected. The use of this structure can avoid manual flipping, reduce labor costs, and enable image recognition of both the front and back sides of the wooden tableware to be detected.

[0031] In one embodiment of the present invention, the present invention further comprises a cleaning mechanism 4, which is installed above the transmission mechanism 5, and is used to clean the other side of the wooden tableware to be detected after the turning mechanism 3 turns over the wooden tableware to be detected. Figure 7As shown, the cleaning mechanism 4 includes a transmission shaft 42, a cleaning wheel 43, a rotating bracket 41 and a driving wheel 44. The cleaning wheel 43 is sleeved on the transmission shaft 42, and both ends of the transmission shaft 42 are mounted on the rotating bracket 41. The driving wheel 44 is mounted on one end of the transmission shaft 42. A fixed block 45 is provided below the cleaning wheel 43, and the fixed block 45 is used to fix the wooden tableware to be detected. The cleaning mechanism 4 is arranged in a dust cover to prevent dust and dirt on the cleaning wheel 43 from being scattered. The driving wheel 44 is used to provide power to drive the transmission shaft 42 to rotate, and the transmission shaft 42 drives the cleaning wheel 43 to rotate, so as to clean the wooden tableware to be detected passing under the cleaning wheel 43. The mechanism uses the motor on the automation equipment to drive the cleaning wheel 43 to rotate, so as to make the product surface smoother, and cleverly cooperates with the product fixing module to allow the product to pass more stably.

[0032] In one embodiment of the present invention, the light source mechanism includes a first backlight mechanism 7 and a second backlight mechanism 8, wherein the first backlight mechanism 7 is installed above the transmission mechanism 5, and the second backlight mechanism 8 is installed below the transmission mechanism 5. The present invention also includes a light shield, which is arranged on the first bracket 1 and the second bracket 2, and is used to shield the first bracket 1 and the second bracket 2. The light shield is used to shield the first bracket 1 and the second bracket 2, and the light source mechanism provides light, so that the image captured by the image acquisition module 6 is clearer.

[0033] Among them, Figure 4 As shown, the first backlight mechanism 7 includes a backlight bracket 71, a first backlight lamp 72 and a second backlight lamp 73, the first backlight lamp 72 is installed on the upper end surface of the backlight bracket 71, the second backlight lamp is installed on the lower end surface of the backlight bracket 71, and the backlight bracket 71 is installed on the first bracket 1 and the second bracket 2.

[0034] like Figure 5 As shown, the second backlight mechanism 8 includes a backlight box 81 with an open top surface and a third backlight lamp 82 arranged inside the backlight box 81 , and the top surface of the backlight box 81 faces the transmission mechanism 5 .

[0035] The function of the first backlight mechanism 7 and the second backlight mechanism 8 is to provide sufficient light to the object so that the camera can obtain image information clearly. The clarity of the image obtained can be used as feedback to control the brightness of the large and small backlights so that the camera can retrieve the image better and more accurately and better screen the products.

[0036] This device can be placed between the front and back ends of the actual production line to reduce manual operations and speed up efficiency to improve the productivity of good products. The user first uses the device interface and buttons to set up operations, including adjusting image parameters, selecting recognition targets, setting recognition algorithms, etc. Then place the target object in the detection area of ​​the device and ensure that the camera can fully capture the image of the target object. After waiting for the device to start, the high-definition camera begins to collect images of the target object and transmits the images to the matching processor for analysis and processing. The processor extracts features from the collected images and identifies the target object according to the preset recognition model. Based on the recognition results, the device adjusts the backlight to highlight specific areas or details of the target object, and automatically adjusts the flip angle and the speed of the rolling cleaning roller as needed. Through the interface or data output interface, the recognition results, image data and related data output are provided to determine whether the product is qualified and returned to the next stage for elimination. The use of this device on the actual production line has greatly improved the inspection efficiency of the product, while reducing the cost of labor input and improving the market competitiveness of the product.

[0037] Finally, it should be noted that the above specific implementation methods are only used to illustrate the technical solution of the utility model rather than to limit it. Although the utility model has been described in detail with reference to examples, ordinary technicians in the field should understand that the technical solution of the utility model can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the utility model, which should be included in the scope of the claims of the utility model.

Claims

1. An intelligent detection device for wooden tableware, It is characterized in that include: A first bracket (1), a second bracket (2), a flipping mechanism (3), a transmission mechanism (5), a light source mechanism, an image acquisition module (6) and a processing module, wherein the first bracket (1) and the second bracket (2) are respectively mounted on two sides of the flipping mechanism (3), the transmission mechanism (5) passes through the first bracket (1), the flipping mechanism (3) and the second bracket (2), the light source mechanism and the image acquisition module (6) are respectively mounted on the first bracket (1) and the second bracket (2), and the image acquisition module (6) is connected to the processing module; The transmission mechanism (5) is used to transmit the wooden tableware to be detected, the light source mechanism is used to provide a light source, the image acquisition module (6) on the first bracket (1) is used to capture an image of one side of the wooden tableware to be detected, the flipping mechanism (3) is used to flip the wooden tableware to be detected, the image acquisition module (6) on the second bracket (2) is used to capture an image of the other side of the wooden tableware to be detected, and the processing module is used to perform image recognition on both sides of the wooden tableware to be detected based on the captured images.

2. The intelligent detection device for wooden tableware according to claim 1, It is characterized in that The flip mechanism (3) comprises: a fixed bracket (31), a rotating shaft (32), a flip gear (33) and an external power wheel (34); both ends of the rotating shaft (32) are mounted on the fixed bracket (31); the flip gear (33) is sleeved on the rotating shaft (32); and one end of the rotating shaft (32) is connected to the external power wheel (34).

3. The intelligent detection device for wooden tableware according to claim 1, It is characterized in that It also comprises a cleaning mechanism (4), which is installed above the transmission mechanism (5) and is used to clean the other side of the wooden tableware to be detected after the turning mechanism (3) turns over the wooden tableware to be detected.

4. The intelligent detection device for wooden tableware according to claim 3, It is characterized in that The cleaning mechanism (4) comprises a transmission shaft (42), a cleaning wheel (43), a rotating bracket (41) and a driving wheel (44); the cleaning wheel (43) is sleeved on the transmission shaft (42); both ends of the transmission shaft (42) are mounted on the rotating bracket (41); and one end of the transmission shaft (42) is connected to the driving wheel (44).

5. The intelligent detection device for wooden tableware according to claim 4, It is characterized in that A fixed clamping block (45) is provided below the cleaning wheel (43), and the fixed clamping block (45) is used to fix the wooden tableware to be detected.

6. The intelligent detection device for wooden tableware according to claim 1, It is characterized in that The image acquisition module (6) comprises a camera, and the camera is mounted on the top of the first bracket (1) and the second bracket (2) through an adjustment bracket.

7. The intelligent detection device for wooden tableware according to claim 1, It is characterized in that The light source mechanism comprises a first backlight mechanism (7) and a second backlight mechanism (8), wherein the first backlight mechanism (7) is installed above the transmission mechanism (5), and the second backlight mechanism (8) is installed below the transmission mechanism (5).

8. The intelligent detection device for wooden tableware according to claim 7, It is characterized in that The first backlight mechanism (7) comprises a backlight bracket (71), a first backlight lamp (72) and a second backlight lamp (73); the first backlight lamp (72) is mounted on the upper end surface of the backlight bracket (71); the second backlight lamp is mounted on the lower end surface of the backlight bracket (71); and the backlight bracket (71) is mounted on the first bracket (1) and the second bracket (2).

9. The intelligent detection device for wooden tableware according to claim 7, It is characterized in that The second backlight mechanism (8) comprises a backlight box (81) with an open top surface and a third backlight lamp (82) arranged inside the backlight box (81), wherein the top surface of the backlight box (81) faces the transmission mechanism (5).

10. The intelligent detection device for wooden tableware according to claim 1, It is characterized in that It also comprises a light shield, which is arranged on the first bracket (1) and the second bracket (2) and is used to shield the first bracket (1) and the second bracket (2) from light.

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