Code carving machine visual error-proofing system based on image recognition technology

Abstract

A code carving machine visual mistake proofing system based on an image recognition technology comprises a product tool used for placing a product to be recognized, a code carving lens used for carving codes on the product to be recognized, a visual recognition camera used for photographing mistake proofing area information of a mistake proofing area in the product to be recognized, and an illuminating lamp used for providing a light source for the visual recognition camera. And the reflective mirror is used for reflecting the information of the error-proofing area to the visual identification camera, and when the identification result of the picture of the error-proofing area collected by the visual identification camera is passing, the system sends a code engraving signal to the code engraving lens and starts code engraving. By adopting a machine identification and computer automatic judgment mode, the problem of omission caused by manual inspection can be effectively avoided, and zero error of code engraving error prevention can be realized.

Description

Technical Field

[0001] The utility model relates to the technical field of automobile manufacturing, and more specifically to a vision error-proofing system for a coding machine based on image recognition technology. Background Art

[0002] Before the application of this system, the coding of the engraving machine adopted the way that the coding machine directly engraved the code, and then the operator manually confirmed the position of the error-proofing point and marked it with a marker pen. However, there is always a possibility of negligence in manual inspection. Once a missed inspection occurs and abnormal products flow out to the customer side, complaints will surely arise, causing significant losses to both sides. Summary of the Utility Model

[0003] To solve the above problems, the purpose of the utility model is to provide a vision error-proofing system for a coding machine based on image recognition technology. In this way, a vision recognition system that collects product information and visually presents the results is used to identify whether the model (error-proofing point) of the steering knuckle product in the automobile chassis is correct, preventing abnormal products from flowing out due to incorrect QR code engraving.

[0004] According to the utility model, there is provided a vision error-proofing system for a coding machine based on image recognition technology, including: a product fixture for placing the product to be recognized, a coding lens for coding the product to be recognized, a vision recognition camera for taking pictures of the error-proofing area information in the product to be recognized, and a reflector for reflecting the error-proofing area information onto the vision recognition camera. Among them, when the recognition result of the photo of the error-proofing area collected by the vision recognition camera is passed, the system sends a coding signal to the coding lens to start coding.

[0005] Preferably, the vision error-proofing system for a coding machine based on image recognition technology further includes: a lighting lamp for providing light for the vision recognition camera.

[0006] Preferably, the vision error-proofing system for a coding machine based on image recognition technology further includes a display screen for presenting whether the recognition result is passed or not.

[0007] Preferably, the product fixture is a fixture support corresponding to the product to be recognized placed thereon.

[0008] Preferably, the vision error-proofing system for a coding machine based on image recognition technology further includes an alarm device for giving an alarm prompt when the recognition result is not passed.

[0009] The beneficial effect of the utility model is that by adopting the methods of machine recognition and computer automatic judgment, the omission problem of manual inspection is effectively avoided, and zero mistakes in coding error-proofing can be achieved. Description of the Drawings

[0010] Figure 1This is the working flowchart of the system.

[0011] Figure 2 It shows the structural composition of the system.

[0012] Figure 3 It is one of the schematic diagrams for visual result display.

[0013] Figure 4 It is the second schematic diagram for visual result display. Detailed implementation manners

[0014] The following will describe in detail the exemplary embodiments of the present utility model with reference to the accompanying drawings. The exemplary embodiments described below and shown in the drawings are intended to teach the principles of the present utility model so that those skilled in the art can implement and use the present utility model in several different environments and for several different applications. Therefore, the protection scope of the present utility model is defined by the appended claims, and the exemplary embodiments are not intended to, and should not be considered as, a restrictive description of the protection scope of the present utility model. Moreover, for the convenience of description, the sizes of the various parts shown in the drawings are not necessarily drawn according to the actual proportional relationship. Regarding the orientation description, such as the orientation or positional relationship indicated by up, down, left, right, top, bottom, etc., are all based on the orientation or positional relationship shown in the drawings, only for the convenience of describing the present utility model 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, so it cannot be understood as a limitation to the present utility model. Throughout the drawings, the same elements are represented by the same or similar reference numerals. When it may cause confusion in the understanding of the present disclosure or is not easy to observe and understand, the conventional structure or local structure will be omitted. Unless otherwise specifically stated, the order of the components and assembly steps and the numerical values set forth in the embodiments do not limit the scope of the present utility model.

[0015] In view of the risk of oversights in manual inspection in the background art, the present utility model designs a set of visual recognition system based on image positioning and spot detection technologies. The system collects the anti-error point information of the workpiece through a camera, and then compares it with the template recipe, automatically determines whether the position of the anti-error point is correct and gives a judgment result. Only after the result is "OK" can the coding be performed.

[0016] Figure 2 It shows the structural composition of the system, including: the product to be recognized 1, the coding lens 2, the illuminating lamp 3, the visual recognition camera 4, the reflector 5, the anti-error area 6, and the product fixture 7.

[0017] The product to be recognized 1 is placed on the product fixture 7, the illuminating lamp 3 provides light source for the recognition camera 4, and the anti-error area information of the anti-error area 6 in the product to be recognized 1 is reflected to the visual recognition camera 4 through the reflector 5.

[0018] Preferably, there are several blank bumps in the error-proofing area 6. When machining different types of products, the blank bumps representing this part in the error-proofing area 6 are machined into a flat surface. The vision recognition camera 4 compares the reflection differences of the blank bumps in the error-proofing area 6 with the formula information in the computer to identify the information of the product 1.

[0019] Preferably, the product tooling 7 can be set as a tooling fixture corresponding to the product 1 to be recognized placed thereon.

[0020] Figure 3 、 4 As an example of visual result display, the photos and recognition results of the vision recognition camera 4 are presented in real time. In addition, product formula switching, formula content, and alarm information are also displayed on the computer screen, facilitating the production operators and technicians to understand the real-time operation of the system, and at the same time greatly improving the debugging efficiency.

[0021] As Figure 1 shown, the specific process is as follows:

[0022] ① As Figure 2 shown, the product 1 to be recognized is placed on the product tooling 7. After the coder is started, the lighting lamp 3 provides light source for the vision recognition camera 4, and the error-proofing area information of the error-proofing area 6 in the product 1 to be recognized is reflected into the vision recognition camera 4 through the reflector 5. The vision recognition camera 4 takes pictures of the product error-proofing area 6 and collects the photos;

[0023] ② Use the algorithm in the product formula to calculate the photos of the error-proofing area 6 collected by the vision recognition camera 4, identify and give the recognition result (as Figure 3 shown). Whether the recognition result passes or fails will be presented on the display screen in the form of "OK" and "NG" respectively;

[0024] ③ If the result is "OK", the system sends a coding signal to the coding lens 2 to start coding; if the result is "NG", the coding of the coding lens 2 is blocked and an alarm prompt is given via the alarm device;

[0025] ④ After coding is completed, the coding lens 2 will send a completion signal to the system, and the system saves the current photo after receiving the signal;

[0026] ⑤ Enter the next cycle.

[0027] In this way, this system realizes the accurate recognition of the error-proofing information of the product 1 to be recognized and the real-time storage of the result photos.

[0028] In the description of the present application, the meaning of "a plurality of" is two or more than two, unless otherwise specifically defined. Unless otherwise clearly specified and defined, terms such as "installed", "connected", "connected to", "fixed", etc. shall be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances. Although the present utility model has been described with reference to various specific embodiments, it should be understood that modifications can be made within the spirit and scope of the described inventive concept. Therefore, it is intended that the present utility model is not limited to the described embodiments, but will have the full scope defined by the language of the appended claims.

Claims

1. An anti - error vision system for a coding machine based on image recognition technology, characterized in that, Comprising: A product tooling fixture (7) for placing the product to be identified (1), a coding lens (2) for coding the product to be identified (1), a vision recognition camera (4) for taking pictures of the anti-misoperation area information of the anti-misoperation area (6) in the product to be identified (1), and a reflector (5) for reflecting the anti-misoperation area information onto the vision recognition camera (4). Wherein, when the recognition result of the picture of the anti-misoperation area (6) collected by the vision recognition camera (4) is passed, the system sends a coding signal to the coding lens (2) to start coding.

2. The vision error prevention system for the code engraving machine based on the image recognition technology according to claim 1, characterized in that, Further comprising: A lighting lamp (3) for providing light source for the vision recognition camera (4).

3. The vision error prevention system for a coding machine based on image recognition technology according to claim 1, characterized in that, Further comprising a display screen for presenting whether the recognition result is passed or not.

4. The vision error prevention system of the code engraving machine based on image recognition technology according to claim 1, characterized in that, The product tooling fixture (7) is a tooling support corresponding to the product to be identified (1) placed thereon.

5. The vision error prevention system of the code engraving machine based on image recognition technology according to claim 1, characterized in that Further comprising an alarm device for giving an alarm prompt when the recognition result is not passed.

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