Laser cutting platform based on image recognition and system thereof

Abstract

The invention relates to the technical field of laser cutting, and discloses a laser cutting platform control system based on image recognition, which comprises an equipment unlocking module, an equipment control module and a cutting control module, the equipment unlocking module comprises a face recognition module and an electrical equipment unlocking module; the equipment control module comprises an image acquisition module, a coordinate establishment module and a cutting control module; and the equipment unlocking module is used for carrying out limited unlocking on the equipment control module and the cutting control module by the electrical equipment unlocking module according to a face verification passing instruction of the face recognition module. The equipment control module is used for collecting information of the four positioning stickers on the plate, so that cutting coordinates can be established according to the position of the plate, the plate is cut according to the cutting coordinates, the plate can be placed on the cutting platform at any angle to be cut through the design, and the cutting efficiency is improved. And the laser cutting operation can be carried out without positioning the plate.

Description

Technical Field

[0001] The present invention relates to the field of laser cutting technology, and in particular to a laser cutting platform and system thereof based on image recognition. Background Art

[0002] Laser cutting platform is a device that uses high-power laser beams for precise cutting. Laser cutting is widely used in cutting metal, plastic, wood, textile, paper and other materials. Compared with traditional mechanical cutting methods, laser cutting has higher precision, faster speed and less material waste. Laser cutting platform usually consists of multiple key parts, including laser, optical path system, workbench, control system, etc.

[0003] The existing patent discloses a multi-axial cutting device for double-sided adhesive processing (publication number CN115319314A), including an operating platform, a laser cutting module, an image recognition module, a centrifugal vacuum pump, a drive motor, a first adjustment motor, a second adjustment motor, a third adjustment motor and a lifting screw. In the technology disclosed in the patent, when non-professionals start the laser cutting table, the cutting table can also be started and operated, which can easily cause accidents. And when the laser cutting table cuts the plate, the plate needs to be fixed and positioned at a suitable angle before cutting, otherwise it will cause cutting deviation and cutting accuracy problems. Summary of the invention

[0004] The main technical problem solved by the present invention is to provide a laser cutting platform and system based on image recognition, which solves the problems in the above-mentioned background technology.

[0005] To solve the above technical problems, according to one aspect of the present invention, more specifically, a laser cutting platform based on image recognition includes a cutting platform and a plate, wherein a control computer is arranged at the front side of the cutting platform, a longitudinal walking platform capable of longitudinal movement is arranged on the cutting platform, a crossbeam is arranged above the longitudinal walking platform, and a crossbeam capable of transverse movement is arranged on the crossbeam; The transverse walking machine includes an identification module and a laser cutting machine, and positioning stickers are pasted on the four corners of the plate.

[0006] A control system for a laser cutting platform based on image recognition, characterized in that it includes a device unlocking module, a device control module and a cutting control module; the device unlocking module includes a face recognition module and an electrical device unlocking module; the device control module includes an image acquisition module, a coordinate establishment module and a cutting control module; The device unlocking module, according to the face verification instruction of the face recognition module, restricts the unlocking of the device control module and the cutting control module by the electrical device unlocking module; The equipment control module collects the positions of the four positioning stickers by the image acquisition module and analyzes the placement angle and position of the plate on the cutting platform to establish a cutting coordinate system, and then controls the cutting control module in the established cutting coordinate system according to the input of the cutting instruction; The cutting control module is used to receive the unlocking instruction of the equipment unlocking module, and then receive the control instruction of the equipment control module, and control the walking platform driver, the walking machine driver and the laser cutting machine according to the control instruction.

[0007] Furthermore, the face recognition module determines the similarity between the captured portrait and the recorded portrait based on the similarity coefficient in the geometric features of the face, the similarity of the number of wrinkles in the texture features, and the similarity of the maximum spacing of wrinkles, as follows:

[0008] In the formula, Indicates the similarity coefficient between the collected portrait features and the recorded portrait features. Indicates the similarity coefficient between the geometric features of the collected portrait and the geometric features of the recorded portrait. Indicates the similarity of the number of wrinkles in the texture features of the collected portrait and the recorded portrait, Indicates the similarity of the maximum distance between wrinkles of the captured portrait and the recorded portrait; when , it means that the collected portrait is the same as the recorded portrait, and the face recognition module can send a face verification pass instruction to the electrical equipment unlocking module.

[0009] Furthermore, the face recognition module determines the similarity of geometric features between the captured portrait and the recorded portrait based on the similarity of the distance between the corners of the eyes, the distance between the tip of the nose and the corner of the mouth, and the distance between the upper and lower edges of the eyebrows, as follows:

[0010] In the formula, Indicates the similarity coefficient between the geometric features of the collected portrait and the geometric features of the recorded portrait. Indicates the similarity between the eye angle distance of the captured portrait and the recorded portrait. Indicates the similarity between the distance between the nose tip and the corner of the mouth of the captured portrait and the recorded portrait. Indicates the similarity between the distance between the upper and lower edges of the eyebrows of the captured portrait and the recorded portrait.

[0011] Furthermore, the coordinate establishment module is based on the positioning sticker , Positioning stickers , Positioning stickers And positioning stickers The position information is used to determine whether the pasting of the four positioning stickers meets the requirements; when or , it means that the pasting of the four positioning stickers meets the requirements.

[0012] Furthermore, the coordinate establishment module is based on the positioning sticker The coordinate origin is established at the position, the X-axis coordinate system is established according to the ab direction, and the Y-axis coordinate system is established according to the ad direction, where the length of the ab direction is:

[0013] in, Indicates the executable length of the coordinate system of the X axis; the length in the ad direction is:

[0014] and, Indicates the executable length of the Y-axis of the coordinate system.

[0015] Furthermore, the image acquisition module is used to identify the coordinate information of the positioning stickers at the four corners of the plate, and feed back the coordinate information of the four positioning stickers to the coordinate establishment module.

[0016] Furthermore, the electrical equipment unlocking module is used to receive a face verification pass instruction from the face recognition module, and release restrictions on the cutting control module and the equipment control module according to the instruction.

[0017] Furthermore, the cutting control module controls the walking trajectory of the laser cutting machine by controlling the walking platform driver and the walking machine driver.

[0018] Beneficial effects: 1. The present invention uses a face recognition module to determine whether the person who starts the laser cutting table has the operating qualifications, which can prevent non-laser cutting personnel from starting the cutting table, thereby directly avoiding accidental injury to the operator or damage to the equipment.

[0019] 2. The present invention collects information from the four positioning stickers on the plate through the equipment control module, so that the cutting coordinates can be established according to the position of the plate, and the plate can be cut according to the cutting coordinates. This design allows the plate to be placed on the cutting platform at any angle for cutting, and laser cutting operations can be performed without positioning the plate. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a structural schematic diagram of the laser cutting platform in the present invention; Figure 2 This is a flow chart of the laser cutting platform control system in the present invention; Figure 3 It is a schematic diagram of the change of the coordinate system in the present invention; Figure 4 This is an interface diagram of the operating system of the present invention.

[0021] In the figure: 1. Cutting platform; 2. Plate; 3. Control computer; 4. Longitudinal walking platform; 5. Crossbeam; 6. Horizontal walking machine; 7. Identification module; 8. Positioning sticker. DETAILED DESCRIPTION

[0022] In order to make the technical solution of the present invention clearer, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0023] Example 1 like Figure 1 As shown, according to one aspect of the present invention, a laser cutting platform based on image recognition is provided, including a cutting platform 1 and a plate 2, wherein a control computer 3 is arranged on the front side of the cutting platform 1, a longitudinal walking platform 4 capable of longitudinal movement is arranged on the cutting platform 1, a crossbeam 5 is arranged above the longitudinal walking platform 4, and a transverse walking machine 6 capable of transverse movement is arranged on the crossbeam 5; the transverse walking machine 6 includes an identification module 7 and a laser cutting machine, and positioning stickers 8 are pasted at the four corners of the plate 2. The interior of the transverse walking machine 6 includes a walking machine driver for driving the transverse walking machine 6 to move left and right on the crossbeam 5. The interior of the transverse walking machine 6 also includes an identification module 7 for collecting the position information of the positioning sticker 8 pasted on the plate 2.

[0024] Example 2 like Figure 2 , 3 As shown in , a control system of a laser cutting platform based on image recognition, characterized in that it includes a device unlocking module, a device control module and a cutting control module; the device unlocking module includes a face recognition module and an electrical device unlocking module; the device control module includes an image acquisition module, a coordinate establishment module and a cutting control module.

[0025] The device unlocking module, according to the face verification instruction of the face recognition module, uses the electrical device unlocking module to restrict the unlocking of the device control module and the cutting control module; the device control module, according to the positions of the four positioning stickers 8 acquired by the image acquisition module, analyzes the placement angle and position of the plate 2 on the cutting platform 1 to establish a cutting coordinate system, and then controls the cutting control module in the established cutting coordinate system according to the input of the cutting instruction; the cutting control module is used to receive the unlocking instruction of the device unlocking module, and then receive the control instruction of the device control module, and control the walking platform driver, walking machine driver and laser cutting machine according to the control instruction. The face recognition module is used to determine whether the person who starts the laser cutting table is qualified to operate, so that non-laser cutting personnel can be prevented from starting the cutting table, thereby directly avoiding accidental injuries to operators or damage to equipment.

[0026] In this embodiment, the image acquisition module is used to identify the coordinate information of the positioning stickers 8 at the four corners of the plate 2, and feed back the coordinate information of the four positioning stickers 8 to the coordinate establishment module. The electrical equipment unlocking module is used to receive the face verification pass instruction of the face recognition module, and release the restrictions of the cutting control module and the equipment control module according to the instruction. The cutting control module controls the walking trajectory of the laser cutting machine by controlling the walking platform driver and the walking machine driver. The four positioning stickers on the plate are collected by the equipment control module, so that the cutting coordinates can be established according to the position of the plate, and the plate can be cut according to the cutting coordinates. This design allows the plate to be placed on the cutting platform at any angle for cutting, and laser cutting operations can be performed without positioning the plate.

[0027] Example 3 like Figure 1 As shown, the face recognition module determines the similarity between the captured portrait and the recorded portrait based on the similarity coefficient in the geometric features of the face, the similarity of the number of wrinkles in the texture features, and the similarity of the maximum spacing of wrinkles.

[0028] In the formula, Indicates the similarity coefficient between the collected portrait features and the recorded portrait features. Indicates the similarity coefficient between the geometric features of the collected portrait and the geometric features of the recorded portrait. Indicates the similarity of the number of wrinkles in the texture features of the collected portrait and the recorded portrait, Indicates the similarity of the maximum distance between wrinkles of the captured portrait and the recorded portrait; when , it means that the collected portrait is the same as the recorded portrait, and the face recognition module can send a face verification pass instruction to the electrical equipment unlocking module.

[0029] In this embodiment, the face recognition module determines the similarity of geometric features between the captured portrait and the recorded portrait based on the similarity of the distance between the eye corners, the distance between the nose tip and the mouth corner, and the distance between the upper and lower edges of the eyebrows, as follows:

[0030] In the formula, Indicates the similarity coefficient between the geometric features of the collected portrait and the geometric features of the recorded portrait. Indicates the similarity between the eye angle distance of the captured portrait and the recorded portrait. Indicates the similarity between the distance between the nose tip and the corner of the mouth of the captured portrait and the recorded portrait. Indicates the similarity between the distance between the upper and lower edges of the eyebrows of the captured portrait and the recorded portrait.

[0031] When operator P collects faces, the similarity between the eye angle distance of the collected portrait and the recorded portrait is calculated. (Similarity = distance between the overlapping part of operator P and the input / total distance between operator P and the input). The similarity between the distance between the nose tip and the corner of the mouth of operator P’s captured portrait and the input portrait is calculated. The similarity between the upper and lower edges of the eyebrows of the captured portrait and the recorded portrait is taken , then we have:

[0032] From the above calculation, we can know that the similarity coefficient between the collected geometric features of the operator P's portrait and the recorded portrait is .

[0033] Then, the similarity of the number of wrinkles in the texture features of the portrait collected by operator P and the recorded portrait is (Similarity = the number of wrinkles in the overlapping part between operator P and the recorded image ÷ the total number of wrinkles between operator P and the recorded image). (Similarity = the distance between the overlapping part of operator P and the input / the total distance between operator P and the input), then:

[0034] From the above calculation, it can be known that the portrait feature of the operator P has passed the verification.

[0035] The similarity in this embodiment adopts the similarity calculation formula of two sets A and B:

[0036] Among them, A can represent the portrait feature information collected on-site by the operator P, and B represents the input portrait feature information.

[0037] Portrait recognition is performed on different people, including: In programming, attempting to divide a positive integer by 0 will result in termination of the step. When , then G Terminate the calculation, expressed as 0; and when When , then G Terminate the calculation, represented by 0.

[0038] And when the data samples in the table increase infinitely, the value G will appear as a dividing line for whether the face passes or not, and the dividing line is 80%.

[0039] From the above calculations, we can know that when , it means that the collected portrait is the same as the recorded portrait, and the face recognition module can send a face verification pass instruction to the electrical equipment unlocking module.

[0040] Example 4 like Figure 3 As shown, the coordinate establishment module is based on the positioning sticker , Positioning stickers , Positioning stickers And positioning stickers The position information is used to determine whether the pasting of the four positioning stickers 8 meets the requirements; when or , it means that the pasting of the four positioning stickers 8 meets the requirements.

[0041] In this embodiment, the coordinate establishment module is based on the positioning sticker The coordinate origin is established at the position, the X-axis coordinate system is established according to the ab direction, and the Y-axis coordinate system is established according to the ad direction, where the length of the ab direction is:

[0042] in, Indicates the executable length of the coordinate system of the X axis; the length in the ad direction is:

[0043] and, Indicates the executable length of the Y-axis of the coordinate system.

[0044] When collecting the positioning sticker , Positioning stickers , Positioning stickers And positioning stickers , then we have:

[0045] And there are:

[0046] Then, the pasting of the four positioning stickers perfectly meets the requirements.

[0047] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A laser cutting platform based on image recognition, comprising a cutting platform (1) and a plate (2), wherein a control computer (3) is arranged on the front side of the cutting platform (1), characterized in that: The cutting platform (1) is provided with a longitudinal walking platform (4) capable of longitudinal movement, a crossbeam (5) is provided above the longitudinal walking platform (4), and a crossbeam (6) capable of transverse movement is provided on the crossbeam (5); The transverse walking machine (6) comprises an identification module (7) and a laser cutting machine, and positioning stickers (8) are attached to the four corners of the plate (2).

2. A control system for a laser cutting platform based on image recognition according to claim 1, characterized in that: It includes a device unlocking module, a device control module and a cutting control module; the device unlocking module includes a face recognition module and an electrical device unlocking module; the device control module includes an image acquisition module, a coordinate establishment module and a cutting control module; The device unlocking module, according to the face verification instruction of the face recognition module, restricts the unlocking of the device control module and the cutting control module by the electrical device unlocking module; The equipment control module establishes a cutting coordinate system based on the positions of the four positioning stickers (8) acquired by the image acquisition module and the analysis of the placement angle and position of the plate (2) on the cutting platform (1), and then controls the cutting control module in the established cutting coordinate system based on the input of the cutting instruction; The cutting control module is used to receive the unlocking instruction of the equipment unlocking module, and then receive the control instruction of the equipment control module, and control the walking platform driver, the walking machine driver and the laser cutting machine according to the control instruction.

3. The control system of the laser cutting platform based on image recognition according to claim 2 is characterized in that: The face recognition module determines the similarity between the captured portrait and the recorded portrait based on the similarity coefficient in the geometric features of the face, the similarity of the number of wrinkles in the texture features, and the similarity of the maximum spacing of wrinkles, as follows: ， In the formula, Indicates the similarity coefficient between the collected portrait features and the recorded portrait features. Indicates the similarity coefficient between the geometric features of the collected portrait and the geometric features of the recorded portrait. Indicates the similarity of the number of wrinkles in the texture features of the collected portrait and the recorded portrait, Indicates the similarity of the maximum distance between wrinkles of the captured portrait and the recorded portrait; when , it means that the collected portrait is the same as the recorded portrait, and the face recognition module can send a face verification pass instruction to the electrical equipment unlocking module.

4. The control system of the laser cutting platform based on image recognition according to claim 3 is characterized in that: The face recognition module determines the similarity of geometric features between the captured portrait and the recorded portrait based on the similarity of the distance between the two eye corners, the distance between the nose tip and the mouth corner, and the distance between the upper edge and the lower edge of the eyebrows, as follows: ， In the formula, Indicates the similarity coefficient between the geometric features of the collected portrait and the geometric features of the recorded portrait. Indicates the similarity between the eye angle distance of the captured portrait and the recorded portrait. Indicates the similarity between the distance between the nose tip and the corner of the mouth of the captured portrait and the recorded portrait. Indicates the similarity between the distance between the upper and lower edges of the eyebrows of the captured portrait and the recorded portrait.

5. The control system of the laser cutting platform based on image recognition according to claim 2, characterized in that: The coordinate establishment module is based on the positioning sticker , Positioning stickers , Positioning stickers And positioning stickers The position information determines whether the pasting of the four positioning stickers (8) meets the requirements; when or , it means that the pasting of the four positioning stickers (8) meets the requirements.

6. The control system of the laser cutting platform based on image recognition according to claim 5, characterized in that: The coordinate establishment module is based on the positioning sticker The coordinate origin is established at the position, the X-axis coordinate system is established according to the ab direction, and the Y-axis coordinate system is established according to the ad direction, where the length of the ab direction is: ， in, Indicates the executable length of the coordinate system of the X axis, represents the executable length of the coordinate system of the Y axis; then the length in the ad direction is: 。 7. The control system of the laser cutting platform based on image recognition according to claim 2, characterized in that: The image acquisition module is used to identify the coordinate information of the positioning stickers (8) at the four corners of the plate (2), and feed back the coordinate information of the four positioning stickers (8) to the coordinate establishment module.

8. The control system of the laser cutting platform based on image recognition according to claim 2, characterized in that: The electrical equipment unlocking module is used to receive a face verification pass instruction from the face recognition module, and release restrictions on the cutting control module and the equipment control module according to the instruction.

9. The control system of the laser cutting platform based on image recognition according to claim 2, characterized in that: The cutting control module controls the walking track of the laser cutting machine by controlling the walking platform driver and the walking machine driver.

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