METHOD AND SYSTEM FOR IDENTIFYING WEAR ON TOOLS

Description

/ 14 “METHOD AND SYSTEM FOR IDENTIFYING WEAR ON TOOLS” Field of Invention

[0001] The present invention relates to a method and system for identifying wear on tools, primarily for gun drills, but not limited to this type.

[0002] The method and system identifies, through images of the tool, mainly front and profile images, and defines, based on the identified wear, the optimized amount of material to be removed so that the tool works correctly, without waste or rework. Fundamentals of the Invention

[0003] As is well known, machining processes that utilize tools with defined geometry are essential for manufacturing products with high precision and finish. These tools play an important role in allowing precise control of the dimensions and shape of parts, ensuring efficiency and effectiveness in industrial production.

[0004] During the machining process, tools suffer wear due to friction and high temperature, making it necessary to periodically assess the need for sharpening and the amount of material to be removed in order to restore and guarantee their performance – as well as increase the tool's lifespan.

[0005] For the sharpening process, it is necessary to have a wear size on the cutting surface that ensures efficient functionality and avoids material waste. The wide variety of tool geometries means that the decision on the amount of material removal ends up being empirical, through trial and error, making it difficult to achieve only a wear-free surface without excessive material removal, which would reduce the tool's lifespan.If less material is removed than necessary, production may be impacted, leading to rework, risks of quality problems in the machining process, tool breakage during use, and requiring a new resharpening cycle that could have been avoided. Petition 870240109252, dated 12 / 20 / 2024, page 8 / 30 / 14

[0006] Thus, patent document CN111122587 describes a method for detecting tool damage based on visual feature extraction that involves dividing the damaged region of the tool into a wear region and a damage region, extracting the two regions, and using the geometric feature of the sum of the two regions as a pattern for discriminating the degree and type of tool damage. The wear area is obtained by merging the wear area in the image and the intact area of ​​the cutting tool into a single area, transferring the tool wear area to the background area, and extracting based on the image difference. The damaged area is obtained by collecting pixel points from the complete cutting edge in an image, reconstructing the upper and lower limits of the tool cutting edge based on data fitting, and then extracting through a difference method.Therefore, the method requires image comparison and consequently more processing, without using objective criteria.

[0007] Another patent document, US4845763, describes a computer vision technique for measuring cutting edge wear that uses a camera mounted on a microscope to acquire an image of the tool with special illumination of one face of the tool that shows the contrast of the worn region in the image and, from ten parameters, the wear is characterized. This method does not take into account three-dimensional tools, and therefore does not correctly detect wear for this purpose.

[0008] Based on this scenario, and aiming to mitigate the observed technical limitations, the present invention arises. Objectives of the Invention

[0009] Thus, the main objective of the present invention is to disclose a method and system for identifying wear on tools, especially drills. Petition 870240109252, dated 12 / 20 / 2024, page 9 / 30 / 14 cannon, but not limited to this type, which identifies, from two-dimensional images at different angles, the wear necessary for the correct operation of the tool.

[0010] Additionally, the present invention aims to provide a method and system for identifying tool wear that, based on the evaluation of front and side images of the tool, can define an optimized and minimum wear value to be reported to the grinding machine, accurately and efficiently, so as not to cause rework or reduce the tool's lifespan.

[0011] Furthermore, the present invention aims to disclose a method for identifying wear on tools that identifies wear from pixels and the physical equivalent of the measurement, within a given area and coordinates of the photograph, provided from lighting and camera calibration within the system.

[0012] Furthermore, the objective of the present invention is to present a tool wear identification system that, in a space-optimized manner, can assess tool wear through imaging. Summary of the Invention

[0013] All the aforementioned objectives are achieved through the tool wear identification method, comprising the steps of: obtaining at least one frontal image from at least one frontal camera of at least one tool, obtaining at least one lateral image from at least one lateral camera of at least one tool, processing at least one frontal image and / or at least one lateral image by at least one processing unit, further comprising the fact that in the frontal image a frontal origin point is obtained, defined by the intersection of a line perpendicular to the Cartesian x-axis passing through the rightmost dark point of the tool image and a line perpendicular to the Cartesian y-axis passing through the uppermost black point of the tool, defining the quadrant of the cutting area, processing the cutting area into lines,Identify the amount of wear on each line of the cutting quadrant and define the highest value as the frontal wear measure; in the side image, the... Petition 870240109252, dated 12 / 20 / 2024, p. 10 / 30 / 14 first point on the right as the lateral origin point, define the quadrant of the cutting area based on the lateral origin point and the cutting axis, process and identify the wear points in the cutting area and define a wear measurement based on the distance between the leftmost wear point and the lateral origin point, from the frontal image define the wear measurement from the distance between the rightmost dark point to the projection on the Cartesian x-axis of the point where the cutting edge ends, define the lateral wear from the wear measurement minus the second wear measurement and, finally, identify the wear adopted for sharpening the tool from the greater value between the frontal wear and the lateral wear.

[0014] According to the fundamental premises of the invention in question, the method for identifying tool wear also includes the fact that it comprises a prior step of obtaining at least one top image from at least one top camera of at least one tool, processing it by at least one processing unit, and identifying whether the inclination of the tool with the Cartesian x-axis is correct.

[0015] Additionally, a method for identifying tool wear is provided, comprising the fact that in the preliminary step of obtaining at least one top image by at least one top camera, a top lighting device is used.

[0016] Furthermore, the present invention proposes a method for identifying tool wear, comprising the fact that in the previous step, if the inclination of the tool with the Cartesian x-axis is not correct, the positioning of the tool is adjusted using a support.

[0017] Furthermore, according to the present invention, the method for identifying tool wear comprises the fact that the step of obtaining the frontal image is obtained from the silhouette of the tool using at least one backlighting device. Petition 870240109252, dated 12 / 20 / 2024, page 11 / 30 / 14

[0018] Additionally, in the present invention, a method for identifying wear on tools comprises the fact that at least one front lighting device is used in the step of obtaining the frontal image.

[0019] Also, according to the present invention, the method for identifying tool wear comprises the fact that the side image is obtained using at least one side lighting device.

[0020] Additionally, the method for identifying tool wear involves the fact that the images processed by the processing unit are treated with a black and white and / or contrast filter.

[0021] Furthermore, according to the present invention, the method for identifying tool wear comprises the fact that the images processed by the processing unit are treated by pixels, where each pixel corresponds to a physical distance predefined by calibrating the focal length with the desired illumination.

[0022] Also, the method of identifying wear for tools includes the fact that there is a prior step of identifying the tool from at least one tool identification device.

[0023] Furthermore, a tool wear identification system is proposed, which implements the tool wear identification method, comprising: at least one support, at least one front chamber parallel to and in a plane above the support, at least one side chamber parallel to and lateral to the support, and at least one processing unit.

[0024] Furthermore, the tool wear identification system includes the fact that associated with the front camera and / or a processing unit, there is at least one backlighting device.

[0025] Additionally, the tool wear identification system includes the fact that associated with the front camera and / or a processing unit, there is at least one lighting device. Petition 870240109252, dated 12 / 20 / 2024, page 12 / 30 / 14

[0026] Furthermore, the tool wear identification system includes the fact that associated with a side chamber and / or a processing unit, there is at least one lighting device.

[0027] Also, the tool wear identification system comprises the fact that the side chamber is pointed at a mirror at a 45-degree angle to the base of the support.

[0028] Furthermore, the wear identification system for tools also includes a top chamber.

[0029] Additionally, the tool wear identification system includes the fact that associated with a top chamber and / or a processing unit, there is at least one lighting device.

[0030] Furthermore, the tool wear identification system includes the fact that associated with a top chamber and / or a processing unit, there is at least one lighting device.

[0031] Finally, the tool wear identification system includes the fact that associated with the processing unit there is at least one tool identification device. Brief Description of the Figures

[0032] The preferred embodiment of the invention in question is described in detail based on the listed figures, which:

[0033] Figure 1 illustrates the tooling step from the front image.

[0034] Figure 2 illustrates the tooling step from the side image.

[0035] Figure 3 illustrates the step of the wear identification method for tools to define the cutting edge.

[0036] Figure 4 illustrates the step of the tool wear identification method from the top image.

[0037] Figure 5 illustrates, in perspective, the wear identification system for tools. Petition 870240109252, dated 12 / 20 / 2024, page 13 / 30 / 14

[0038] Figure 6 illustrates the components of the tool wear identification system.

[0039] Figure 7 illustrates the wear identification system for tools when equipped with a mirror. Detailed Description of the Invention

[0040] According to the general objectives of the invention in question, the method for identifying tool wear, comprising the steps of: obtaining at least one frontal image a from at least one frontal camera 2 of at least one tool 1, obtaining at least one lateral image b from at least one lateral camera 3 of at least one tool 1, processing at least one frontal image a and / or at least one lateral image b by at least one processing unit 4, which further comprises the fact that from the frontal image a a frontal origin point a0 is obtained, defined by the intersection of a line perpendicular to the Cartesian x-axis passing through the dark spot a1 furthest to the right of the tool 1 and a line perpendicular to the Cartesian y-axis passing through the dark spot a2 furthest above the tool 1, defining the quadrant of the cutting area a3, processing the cutting area a3 into lines,Identify the amount of wear in pixels of each line in the cutting quadrant a3 and define the largest value as the frontal wear measure d1. Also, from the side image b, obtain the first point to the right of tool 1 as the lateral origin point b0. Define the quadrant of the cutting area b1 based on the lateral origin point b0 and the cutting axis. Process and identify the wear points in the cutting area b1 and define a wear measure x1 based on the distance between the leftmost wear point b2 and the lateral origin point b0. From the frontal image, define the wear measure x2 based on the distance between the rightmost dark point a1 of tool 1 and the projection on the Cartesian x-axis of the point where the cutting edge a4 ends. Define the lateral wear d2 as the wear measure x1 minus the wear measure x2.Identify the wear pattern adopted for sharpening the tool based on the greater value between the frontal wear d1 and the lateral wear d2.

[0041] Figure 1 illustrates the step of the wear identification method for Petition 870240109252, dated 12 / 20 / 2024, page 14 / 30 / 14 tools from the frontal image a, where a frontal origin point a0 is defined from the intersection of a line perpendicular to the Cartesian x-axis passing through the dark point a1 furthest to the right of tool 1 and a line perpendicular to the Cartesian y-axis passing through the dark point a2 furthest above tool 1, thus defining an origin for evaluating the tool in the photograph and also a quadrant of the cutting area a3. The dark points a1 and a2 can be obtained from the darkest pixel (to the right and above), using an image a with black and white filters and accentuated contrast, highlighting the silhouette of the tool.Furthermore, starting from the frontal image a, it is necessary to process it into lines of the quadrant of the cutting area a3, such as lines of one pixel, so the light pixels (or with a white level) and those that have a greater quantity in the line (continuously), the amount of wear in each line of the cutting quadrant a3 is identified, defining the highest value as the frontal wear measure d1, as illustrated in the figure.

[0042] Figure 2 illustrates the step of the tool wear identification method from the side image b, where the first point to the right of tool 1 is obtained as the side origin point b0, from the darkest pixel (on the right), using an image a with black and white filters and high contrast, the quadrant of the cutting area b1 is defined as a function of the side origin point b0 and as a function of the cutting axis, as illustrated, processing and identifying the wear points in the cutting area b1, where the light pixels (or with a white level) represent greater wear, and thus defining a wear measure x1 as a function of the distance between the leftmost wear point b2 and the side origin point b0.

[0043] Figure 3 illustrates the step in the tool wear identification method for defining the cutting edge, where, from the frontal image a, a wear measurement x2 was defined from the distance between the darkest point a1 furthest to the right of tool 1, as a darker pixel (to the right) using an image a with black and white filters and high contrast, to the projection on the Cartesian x-axis of the point where the cutting edge ends a4, thus the lateral wear d2 is defined from the wear measurement x1 minus the wear measurement x2, thus identifying the Petition 870240109252, dated 12 / 20 / 2024, p. 15 / 30 / 14 wear adopted for sharpening the tool based on the greater value between frontal wear d1 and lateral wear d2.

[0044] Additionally, the tool wear identification method comprises a preliminary step of obtaining at least one top image c of at least one top camera 5 of at least one tool 1, which is processed by at least one processing unit 4 and thus identifies whether the inclination of the tool 1 with the Cartesian axis x is correct. Figure 4 illustrates the top image c of the tool where the cutting edge is aligned with the Cartesian axis x. Such adjustment can be done manually by the operator or, alternatively, automatically by means of electronics and mechanics associated with at least one support 1.1, but also the support 1.1 can have a construction that allows the tool 1 to be fitted only correctly, without needing adjustments.

[0045] Thus, the method for identifying tool wear involves the fact that in the previous step, if the inclination of tool 1 with the Cartesian axis x is not correct, the positioning of tool 1 is adjusted from a support 1.1.

[0046] Furthermore, the method for identifying tool wear involves the fact that in the preliminary step of obtaining at least one top image c by at least one top camera 5, a top lighting device 5.1 is used. This top lighting 5.1 ensures that the tool 1 is correctly illuminated, without depending on ambient lighting, in order to accentuate the cutting edge where the lighter pixels (closer to white) represent tool wear.

[0047] Furthermore, the method for identifying tool wear comprises the fact that the step of obtaining the front image a, is obtained from the silhouette of the tool 1 using at least one backlighting device 2.2. Positioning the backlighting device 2.2 behind the tool 1 under the field of the front camera 2 allows the captured images to form the silhouette of the tool 1 with a white background, providing contrast. Petition 870240109252, dated 12 / 20 / 2024, page 16 / 30 / 14

[0048] Furthermore, in the tool wear identification method, it is understood that in the front image acquisition step, at least one front lighting device 1.1 is used, which ensures that the tool 1 is correctly illuminated, without depending on ambient lighting, in order to accentuate the cutting edge where the lighter pixels (closer to white) represent the tool wear.

[0049] Also, the method for identifying tool wear includes the fact that the side image b is obtained using at least one side lighting device 3.1 which also ensures that the tool 1 is correctly illuminated, without depending on ambient lighting, in order to accentuate the cutting edge where the lighter pixels (closer to white) represent tool wear.

[0050] Additionally, the tool wear identification method involves the fact that the images processed by processing unit 4 are treated with a black and white filter, causing the image to display shades of gray, where lighter shades are associated with wear, and / or contrast, which accentuates the difference between lighter and darker shades.

[0051] Thus, the tool wear identification method understands that the images processed by processing unit 4 are treated by pixels, where each pixel corresponds to a physical distance predefined by the calibration of the focal length with the desired illumination. Because of the system calibration, the method knows the value in millimeters that each pixel corresponds to, simply multiplying by the value in pixels found allows us to obtain a real wear measurement (in the case of light pixels) in millimeters.

[0052] Additionally, in the tool wear identification method, it is also understood that there is a prior step of identifying the tool using at least one tool identification device 6. This tool identification may be by barcode, QR code, RFID / NFC tag, or image recognition, which identifies, for example, whether the tool is a gun drill and what type of gun drill will be used. Petition 870240109252, dated 12 / 20 / 2024, p. 17 / 30 / 14 (such as brand, size, etc.) and thus what lighting "recipe" will be used, such as light intensity, lighting time, in addition to which images should be acquired.

[0053] Furthermore, the present invention proposes a tool wear identification system, which performs the tool wear identification method, comprising: at least one support 1.1 (to which the tool 1 is associated so that the method can be performed), at least one front chamber 2 parallel to and in a plane above the support 1.1, at least one side chamber 3 parallel to and lateral to the support 1.1 and at least one processing unit 4.

[0054] The front camera 2 and the side camera 3 are devices responsible for acquiring images, whether still or continuous (in video form), which may or may not be equipped with a processing and memory unit, and are associated with the processing unit 4.

[0055] Processing unit 4 is a device equipped with a processor, memory, and interface, whether a human-machine interface or via a wired (serial, RS232, RS485, Ethernet, etc.) or wireless (bluetooth, wi-fi, LoRa, etc.) communication unit, capable of performing the tool wear identification method or sending the acquired images for processing in the cloud or on some connected / associated device. Processing unit 4 may be associated with cameras and / or devices via a physical or wireless interface.

[0056] Additionally, the tool wear identification system comprises the fact that associated with the front camera 2 and / or a processing unit 4, there is at least one backlighting device 2.2. The backlighting device is a light source (such as an LED) that is positioned at the back of the capture by the front camera 2, thus providing an image of the tool silhouette, and can be controlled by the front camera 2 itself or by means of the processing unit 4.

[0057] Furthermore, the tool wear identification system includes the fact that it is associated with the front camera 2 and / or a unit of Petition 870240109252, dated 12 / 20 / 2024, page 18 / 30 / 14 processing 4, there is at least one lighting device 2.1, which is a light source (such as an LED) that is positioned and configured to provide an image that creates contrast with the cutting edge of the tool based on its calibration and can be controlled by the front camera 2 itself or by the processing unit 4, physically or wirelessly. Preferably, the lighting device 2.1 can be a ring light, where it is possible to adjust the light intensity by quadrants to optimize the contrast effect with the cutting edge, but also any other light source that can be calibrated (both in intensity and distance).

[0058] Furthermore, the tool wear identification system comprises the fact that associated with a side camera 3 and / or a processing unit 4, there is at least one lighting device 3.1. The device is a light source (such as an LED) that is positioned and configured to provide an image that creates contrast with the cutting edge of the tool based on its calibration and can be controlled by the side camera 3 itself or by the processing unit 4, physically or wirelessly. Preferably, the lighting device 3.1 can be a ring light, where it is possible to adjust the light intensity by quadrants to optimize the contrast effect with the cutting edge, but also any other light source that can be calibrated (both in intensity and distance).

[0059] The tool wear identification system also comprises the fact that the side camera 3 is pointed at a mirror 3.2 at a 45-degree angle to the base of the support 1.1. When there is no depth available for system placement, the side camera 3 can be positioned parallel to a top camera 5 and, with the aid of a mirror, acquire an image of the tool 1, thus achieving better focus adjustment when space is limited.

[0060] Furthermore, the tool wear identification system also includes a top camera 5 responsible for acquiring an image of the top of the tool 1 and verifying its angle. Petition 870240109252, dated 12 / 20 / 2024, page 19 / 30 / 14

[0061] The system further comprises the fact that associated with a top camera 5 and / or a processing unit 4, there is at least one lighting device 5.1. The device is a light source (e.g., LED) that is positioned and configured to provide an image that creates contrast with the cutting edge of the tool based on its calibration and can be controlled by the top camera 5 itself or by the processing unit 4, physically or wirelessly. Preferably, the lighting device 5.1 can be a ring light, where it is possible to adjust the light intensity by quadrants to optimize the contrast effect with the cutting edge, but also any other light source that can be calibrated (both in intensity and distance).

[0062] Figure 5 illustrates, in perspective, the tool wear identification system composed of a support 1.1, a front chamber 2, a lighting device 2.1, a backlighting device 2.2, a side chamber 3, a lighting device 3.1, a top chamber 5 and a lighting device 5.1.

[0063] Additionally, the tool wear identification system comprises the fact that associated with processing unit 4 there is at least one tool identification device 6, which performs tool identification by reading barcodes, QR codes, RFID / NFC tags, or by image recognition, which identifies, for example, whether the tool is a gun drill and what type of gun drill will be used (such as brand, size, etc.) or what type of tool it is, and thus what lighting “recipe” will be used, such as light intensity, lighting time, as well as which images should be acquired.

[0064] Figure 6 illustrates the components of the tool wear identification system consisting of a support 1.1, a front chamber 2, a lighting device 2.1, a backlighting device 2.2, a side chamber 3, a lighting device 3.1, a top chamber 5, a lighting device 5.1 and a tool identification device 6, in addition to the tool 1. Petition 870240109252, dated 12 / 20 / 2024, page 20 / 30 / 14

[0065] Figure 7 illustrates the tool wear identification system when equipped with a mirror in a top view, showing the support 1.1, tool, a front camera 2 and a lighting device 2.1 represented under dotted lines as they are in the top plane, a backlighting device 2.2 represented below the tool 1, a side camera 3 positioned at ninety degrees from a line perpendicular to the tool 1 together with a mirror 3.2 at forty-five degrees from a line perpendicular to the tool 1, a lighting device 3.1, a top camera 5 and a lighting device 5.1. This configuration allows for space saving when there is not a large background length to adjust the focal distance.

[0066] It is therefore proposed that a device be able to automatically measure the minimum required wear value to be reported to the sharpening machine during the sharpening process. Thus, the objective is to create a solution that eliminates the operator's reliance on manual selection in this aspect and the empirical trial-and-error decision of the amount of material to be removed.

[0067] Thus, the use of a system that acquires at least two images of the tool using different angles, where contrast is used along with each lighting device that can adjust intensity in quadrants, in addition to a backlight device to generate a silhouette / contour image, allows the method to analyze these images and measure tool wear. This technique provides a precise and efficient solution for determining the amount of wear to be removed during the resharpening process.

[0068] It is important to emphasize that the description above is intended solely to provide an example of a particular embodiment of the invention in question. Therefore, it is clear that modifications, variations, and constructive combinations of the elements that perform the same function in substantially the same way to achieve the same results remain within the scope of protection delimited by the appended claims. Petition 870240109252, dated 12 / 20 / 2024, p. 21 / 30

Claims

1 / 4 CLAIMS 1. Method for identifying tool wear, comprising the steps of: - obtaining at least one front image (a) from at least one front camera (2) of at least one tool (1); - obtaining at least one side image (b) from at least one side camera (3) of at least one tool (1); - processing at least one front image (a) and / or at least one side image (b) by at least one processing unit (4) CHARACTERIZED by the fact that in the front image (a) a front origin point (a0) is obtained, defined by the intersection of a line perpendicular to the Cartesian x-axis passing through the dark spot (a1) furthest to the right of the tool (1) and a line perpendicular to the Cartesian y-axis passing through the dark spot (a2) furthest above the tool (1); - defining the quadrant of the cutting area (a3); - processing in lines of the quadrant of the cutting area (a3);- Identify the amount of wear in pixels of each line of the cutting quadrant (a3) ​​and define the largest value as the front wear measure (d1); and - in the side image (b) the first point to the right of the tool (1) is obtained as the side origin point (b0); - define the quadrant of the cutting area (b1) as a function of the side origin point (b0) and as a function of the cutting axis; - process and identify the wear points in the cutting area (b1) and define a wear measure (x1) as a function of the distance between the leftmost wear point (b2) and the side origin point (b0); - from the front image (a) define the wear measure (x2) from the distance between the dark point (a1) furthest to the right of the tool (1) to the projection on the Cartesian x-axis of the point where the cutting edge ends (a4); Petition 870240109252, of 12 / 20 / 2024, p. 22 / 30 2 / 4 - define the lateral wear (d2) from the wear measurement (x1) minus the wear measurement (x2);- Identify the wear pattern adopted for sharpening the tool based on the greater value between frontal wear (d1) and lateral wear (d2).

2. Method for identifying tool wear, according to claim 1, CHARACTERIZED in that it comprises a prior step of obtaining at least one top image (c) from at least one top camera (5) of at least one tool (1), processing by at least one processing unit (4) and identifying whether the inclination of the tool (1) with the Cartesian x axis is correct.

3. Method for identifying tool wear, according to claims 1 and 2, CHARACTERIZED in that in the preliminary step of obtaining at least one top image (c) by at least one top camera (5), a top lighting device (5.1) is used.

4. Method for identifying tool wear, according to claims 1 and 2, CHARACTERIZED in that in the previous step, if the inclination of the tool (1) with the Cartesian axis x is not correct, the positioning of the tool (1) is adjusted from a support (1.1).

5. Method for identifying tool wear, according to claim 1, CHARACTERIZED in that the step of obtaining the front image (a) is obtained from the silhouette of the tool (1) using at least one backlighting device (2.2).

6. Method for identifying tool wear, according to claim 1, CHARACTERIZED in that in the step of obtaining the front image (a) at least one front lighting device (2.1) is used.

7. Method for identifying tool wear, according to claim 1, CHARACTERIZED in that the side image (b) is obtained using at least one side lighting device (3.1). Petition 870240109252, dated 12 / 20 / 2024, page 23 / 30 3 / 4 8. Method for identifying tool wear, according to claim 1, CHARACTERIZED in that the images processed by the processing unit (4) are treated with a black and white and / or contrast filter.

9. Method for identifying tool wear, according to claims 1 and 8, CHARACTERIZED in that the images processed by the processing unit (4) are treated by pixels, where each pixel corresponds to a physical distance predefined by calibrating the focal length with the desired illumination.

10. Method for identifying tool wear, according to claim 1, CHARACTERIZED in that there is a prior step of identifying the tool from at least one tool identification device (6).

11. Tool wear identification system, which performs the tool wear identification method, CHARACTERIZED by comprising: - at least one support (1.1); - at least one front chamber (2) parallel and in a plane above the support (1.1); - at least one side chamber (3) parallel and lateral to the support (1.1) and - at least one processing unit (4).

12. Wear identification system for tools, according to claim 11, CHARACTERIZED in that associated with the front camera (2) and / or a processing unit (4), there is at least one backlighting device (2.2).

13. Wear identification system for tools, according to claims 11 and 12, CHARACTERIZED in that associated with the front chamber (2) and / or a processing unit (4), there is at least one lighting device (2.1).

14. Wear identification system for tools, according to claim 11, CHARACTERIZED in that associated with a side chamber Petition 870240109252, dated 12 / 20 / 2024, page 24 / 30 4 / 4 (3) and / or a processing unit (4), there is at least one lighting device (3.1).

15. Wear identification system for tools, according to claim 11, CHARACTERIZED in that the side chamber (3) is pointed at a mirror (3.2) at an angle of 45 degrees relative to the base of the support (1.1); 16. Wear identification system for tools, according to claim 11, CHARACTERIZED in that it further comprises a top chamber (5).

17. Tool wear identification system, according to claims 11 and 16, CHARACTERIZED in that associated with a top chamber (5) and / or a processing unit (4), there is at least one lighting device (5.1).

18. Tool wear identification system according to claim 11, CHARACTERIZED in that associated with the processing unit (4) there is at least one tool identification device (6). Petition 870240109252, dated 12 / 20 / 2024, pp. 25 / 30

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