PLASTIC MATTRESS CONTACT SURFACE ANALYSIS SYSTEM

Abstract

The invention relates to an analysis system that evaluates the contact surface quality of plastic bearing parts by image analysis. The system includes a part fixture (5), a light cabinet (9) containing a lighting element (10), a camera (11), a calibration database storing product code-specific measurement parameters, a processing unit, and a decision unit. The processing unit creates a paint mask and a white mask in the image obtained as a result of paint transfer. The contact ratio is calculated by multiplying the ratio of the number of paint pixels in the ring-shaped region of interest, bounded by the inner and outer circles, to the total number of paint and white pixels by the calibration multiplier specific to the relevant product code. The decision unit compares the calculated contact ratio with the threshold value of the relevant product code to generate an acceptance / rejection decision and records the decision together with the time-stamped measurement parameters on which it is based.

Description

1 TARIFF PLASTIC MATTRESS CONTACT SURFACE ANALYSIS SYSTEM TECHNICAL FIELD The invention enables the automatic improvement of the contact surface quality of plastic bearing components to 5. industrial image analysis and optical measurement systems for evaluation It is related. More specifically, to the paint applied to the surface of the plastic bearing part. Based on the principle of movement in areas in contact with the conjugate surface, the camera Contact ratio obtained from the image via product code-specific calibration calculated and the calculated contact rate is 10 with the product-based threshold value. A plastic mattress contact surface analysis is performed by comparing and accepting / rejecting the contact surface. It is related to the system. STATE OF THE ART Plastic mattresses, automotive suspension and steering systems, among others 15 in the bearing of mechanical parts that move relative to each other It is used. Distribution of the regions of the plastic bed that come into contact with the conjugate surface. and the adequacy of the contact area, in terms of the load-bearing and operational characteristics of the part. This is important. Therefore, contact during production and incoming quality control is crucial. The surface needs to be evaluated. 20 In standard practice, the paint applied to the part surface must adhere to the corresponding surface. the contact area by visual examination of the marks left as a result of contact This can be evaluated. However, the contact pattern is irregular and If the painted area is close to the acceptable limit, the assessment operator This can vary depending on the interpretation. This situation is especially true for 25 different suppliers. under repeatable measurement conditions of incoming parts with the same product code This presents difficulties in terms of evaluation. In the known state of the art, using paint or marking agent Evaluation of contact patterns of mechanical surfaces through image analysis Solutions for this purpose are available. US8180143B2, “Method and system for 30 The patent document, titled "Estimating Contact Patterns," describes a gear in a gearbox. a system and method for visualizing the contact patterns of teeth It explains. In the document in question, the images obtained by the image acquisition unit are described. 2 Gear tooth and contact pattern images are matched with a gear tooth model, contact Criteria relating to the pattern are calculated and these criteria are defined with threshold values. The acceptability of the gearbox is evaluated by comparison. The document presents a mechanical contact pattern through image processing and threshold comparison. This shows that the evaluation is a known technique. 5 Numbered CN108074269A, “A kind of circular arc end tooth dye penetrant The patent document titled "inspection evaluation method" refers to a circular arc-shaped tip. This relates to the evaluation of the examination of tooth contact with paint. In the document, image on the contact pattern image obtained as a result of paint inspection Improvement, border extraction, image filling, and area calculation operations 10 This is being implemented. The area of ​​the irregular contact pattern is the pixels in the binary image. The area is calculated using the data, and the resulting area is compared to the area of ​​a standard pattern. The contact percentage is determined by comparison. The calculated percentage is then used for the relevant examination. It is compared with the acceptance limit in the standard. Thus, the numerical value of the paint pattern. The document in question, 15, states that it should be measured and evaluated according to the acceptance criteria. It is among the techniques described. Number CN114235719A, “Measuring device and measuring method for The patent document titled "contact coloring of end face teeth" describes the coloring of end-face teeth. It describes a measurement setup and measurement method for contact dyeing. The device in question is an image acquisition device that obtains image data including the paint trace. 20 It includes the system and a data processing unit that processes this image data. Data The processing unit determines the staining analysis area corresponding to the tooth surface, and Pixels that meet the specified condition within this region are allocated to all pixels in the region. It calculates the ratio. The document also describes the image acquisition system as a camera, By creating a support structure and lighting elements, the analysis results are 25. Regulations regarding its display are explained. Other solutions for assessing the condition of plastic mattresses It is known that the document numbered US11592061B2, “Plain bearing, plastics sliding element, The patent document titled "System and Method for Wear Detection" concerns plastic slippage. This relates to detecting wear in a sliding bearing containing 30 elements. The document describes a sensing element mounted on a plastic sliding element, the behavior of a radio circuit when a certain degree of wear is reached The text describes how the change is made and how this change is detected wirelessly. 3 The subject of the solution is to determine the wear and tear during operation, as the area ratio of the contact mark created by the paint from the external camera image. It uses a different measurement approach than its evaluation method. numbered WO2024163518A2, “Systems and methods for tactile intelligence” The international patent application, titled [title of patent application], concerns the surface of an object, in contact with the object. a translucent layer that can undergo deformation and with this layer geometric characterization through the perception of interacting light It is related. The document describes the translucent layer, lighting source, sensor, and process. The determination of surface geometry using this system is explained. This approach, 10 through deformation and optical perception of the surface geometry of the contacting object It is based on determining the contact pattern formed as a result of paint transfer. It differs from the evaluation. In this context, measuring paint residue on mechanical surfaces through image analysis, Calculation of the pixel area of ​​the region determined in the image and the measurement result. Comparison with an acceptance threshold is among the known techniques. However, 15 In the inbound quality control of plastic beds, the image is obtained by paint transfer. The limitation of data to a ring-shaped contact surface, optically determined. Evaluation and measurement of contact ratio with product code-specific calibration. technical requirements in terms of recording the parameters on which it is based There are 20 different measurement conditions for different product codes and suppliers. its repeatable application, the distribution of the contact area on the surface evaluation and correlation of the measurement data on which the acceptance / rejection decision is based This is among the requirements. TECHNICAL PROBLEM THAT THE INVENTION AIMS TO SOLVE 25 Paint transfer in contact surface quality control of plastic bearing parts. During the evaluation of the resulting contact pattern, in the image Deviations occur between the defined painted area and the actual mechanical contact area. This is possible. Furthermore, the ring-shaped contact surfaces of plastic bearings are suitable for different products. Due to their geometries and image acquisition conditions, it is not possible to determine which surface region the measurement is being taken on. 30 the contact rate obtained within and with which parameters it is performed It has an effect. 4 The fundamental technical problem that the invention aims to solve is the production of plastic bearing components. The optical field information obtained from the contact pattern created by paint transfer, of the part delimitation in accordance with the ring-shaped contact surface and product code specific By evaluating through calibration, different product codes and suppliers The aim is to provide a repeatable measurement of the contact rate. 5 Another technical problem that the invention aims to solve is the contact in the image. and the separation of areas corresponding to non-conforming regions, calculated contact the ratio is correlated with the measurement parameters of the relevant product and the acceptance / rejection decision is made. the threshold value it is based on, region of interest boundaries, calibration multiplier and color threshold By recording the intervals, the measurement result can be retrospectively analyzed. It is about making it controllable. Additional technical solution intended to be addressed in the preferred application of the invention. The problem is that even if the total contact rate meets the acceptable limit, the contact is not ring-shaped. It is about determining the irregular distribution on the surface. In this context, the point of interest is... by evaluating the region in terms of environmental sectors, local contact rates and 15 Obtaining the regional homogeneity score is based on the total contact area only. This allows for the assessment not only of its size but also of its distribution on the surface. It provides. The invention also includes an automated report of the measurement result and acceptance / rejection decision. By creating performance scorecards, quality control records are compiled in 20 technical requirement for its reproducible and traceable organization It aims to welcome them. A BRIEF DESCRIPTION OF THE INVENTION The invention analyzes the contact surface quality of plastic bearing parts using image analysis. It relates to an analysis system that evaluates the part in a repeatable manner. a part fixture in which the part is positioned, illuminating the part under controlled light A light cabinet containing a lighting element provides an image of the contact surface of the part. a camera in the field, threshold values ​​for each product code, interest area boundaries, calibration A calibration database that stores the multiplier and color threshold ranges is taken from the camera 30 a processing unit that processes the captured image and calculates the contact ratio in the product code. It includes a decision-making unit that generates an acceptance / rejection decision by comparing it to a corresponding threshold value. In the system, the paint applied to the part surface comes into contact with the adjacent surface. As a result, the areas it is moved to are monitored via camera. The processing unit, on the resulting image, corresponding to the contact areas where the paint is present a paint mask with a white area corresponding to non-contact areas that have not received paint. It forms a mask. The contact ratio is a ring-shaped 5-piece enclosed by an inner and outer circle. Within a region of interest, the ratio of paint pixels to the total number of paint and white pixels. by multiplying the ratio by the calibration multiplier specific to the relevant product code is being calculated. The calibration database includes threshold values ​​for each product code, and interest area boundaries. It stores the calibration multiplier and color threshold ranges. The processing unit stores the relevant product 10. using the measurement parameters corresponding to the code, the contact ratio The decision-making unit calculates the contact rate based on the relevant product code; It generates an acceptance / rejection decision by comparing it to the relevant threshold value. In one application of the invention, each decision generated by the decision unit is a decision of the decision. When it is based on, it is recorded along with stamped parameters. The system also has 15 The measurement results and decisions are automatically reported in the form of a performance scorecard. It includes a reporting unit that produces In a preferred application of the invention, the processing unit targets the region of interest in the environment. by dividing the sector into multiple sectors and calculating the local contact rate for each sector. and producing a regional homogeneity score as a complement to inter-sectoral variation 20 It includes a module. In this application, the decision unit makes the acceptance decision based on the contact rate. the threshold value for the product code and the lower limit of the regional homogeneity score conditions It produces according to how they are provided together. DESCRIPTION OF THE FIGURES 25 Figure 1 shows a front view of the plastic bearing contact surface analysis system, which is the subject of this invention. It shows its appearance. Figure 2 shows a schematic view of the imaging station of the system described in the invention. It shows. Figure 3 shows a functional block schematic view of the system described in the invention. 30 Figure 4 shows the flowchart of the contact ratio measurement and acceptance process. 6 The reference numbers shown in the figure are: 1. Main housing / body 2. Touch screen 3. Upper support plate 4. Imaging station aperture 5 5. Part fixture / positioning platform 6. Measured part (plastic bearing) 7. Live view and analysis area 8. Control interface function keys 9. Light cabinet / lighting housing 10 10. Lighting element 11th Camera 12. Optical axis DETAILED DESCRIPTION OF THE INVENTION 15 The invention concerns a plastic mattress contact surface analysis system and plastic mattresses. through image analysis of the contact pattern formed by paint transfer of the parts It is an industrial inspection system for evaluating the part. The system examines the part. with a physical imaging setup that allows viewing under controlled conditions The processing unit that calculates the contact ratio from the image, product code-specific measurement 20 based on the calibration database that stores the parameters and the calculated contact ratio. It includes a decision-making unit that generates an acceptance / rejection decision. An application of the invention is shown in Figure 1 and The physical layout is shown in Figure 2, the functional blocks are shown in Figure 3, and in Figure 4... This is explained through the measurement and acceptance process shown. The system shown in Figure 1 consists of a main housing / body (1), touchscreen 25 (2), upper support table (3), viewing station opening (4), part fixture / positioning platform (5), measured part (6), live view and analysis area (7) and The control interface includes function keys (8). The main housing / body (1) contains the system's It forms the structure in which the physical components are placed. Upper support plate (3) The imaging station opening (4) on which it is located, 30 of the measured part (6). It allows for placement in the imaging station. Part fixture / positioning platform (5) during image acquisition of the measured part (6) It forms the section where it is positioned in a repeatable manner. 7 The touch screen (2) constitutes the user interface of the system. Live The image of the contact surface of the part (6) measured on the image and analysis area (7) and Information related to image analysis is displayed. Control interface function keys (8), interface functions related to user control of the system It provides. In one application of the invention, the area of ​​interest boundaries are touch screen 5 (2) can be defined via. The display station, light booth / lighting shown in Figure 2. housing (9), lighting element (10), camera (11) and optical axis (12) It includes. Light cabinet / lighting housing (9), contact of the measured part (6). Section 10 concerns the viewing of the surface under controlled lighting conditions. It consists of. The lighting element (10) illuminates the measured part (6). In one application of the invention, the lighting element (10) is an LED ring light. It is in the form of. The camera (11) contacts the part (6) measured along the optical axis (12). It takes an image of the surface. With the part fixture / positioning platform (5) The combined use of a controlled lighting system improves image acquisition conditions. It ensures that it can be generated in a repeatable manner. The invention relates to the evaluation of the contact surface and paint transfer in the system. It is based on the principle. Paint is applied to the surface of the measured part (6) and the part It is pressed against the conjugate surface. Paint is applied to the areas in contact with the conjugate surface. The paint pattern resulting from the transport and contact is measured on the part (6) 20 It creates optically distinguishable regions on the surface. The camera (11), paint It obtains an image of the contact surface formed as a result of the transfer process. This the image is used by the processing unit to separate the contacting and non-contacting regions. It is used. In the functional structure shown in Figure 3, the processing unit takes 25 from the camera (11). It calculates the contact ratio by processing the image. The calibration database contains each product code threshold value, region of interest boundaries, calibration multiplier and color threshold It stores the intervals. The decision unit, on the other hand, stores the contacts calculated by the processing unit. The acceptance / rejection decision is made by comparing the rate with the threshold value for the relevant product code. It produces. Thus, the physical measurement data obtained from the imaging system is related to the 30 The product code is evaluated along with its measurement parameters. 8 The processing unit performs image processing on the image received from the camera (11). It performs its operations. In one application of the invention, the image, paint and Adaptive contrast equalization before white masks are created. Adaptive contrast equalization is applied. It corrects the local contrast of the image. It is an image processing operation for the manipulation of its features. The invention is a 5 In this application, this operation is performed in the LAB color space. Processing unit It also applies noise reduction processing to the image. The invention is a... In this application, noise reduction involves blurring. In one application of the invention, the processing unit consists of a paint mask and a white mask. Before rendering, the image is subjected to adaptive contrast adjustments in the LAB color space. Equalization, noise reduction including blurring, and conversion to HSV color space. It is implementing. The processing unit applies the paint mask and white mask according to the relevant product code. It separates colors based on threshold ranges. The processing unit compares the areas in the image that have paint and the areas that have not. It performs a color space transformation to separate colors based on their color characteristics. 15 In one application of the invention, the image is converted to the HSV color space. The process the unit, color threshold ranges stored in the calibration database for the relevant product code It creates paint masks and white masks using this method. The paint mask is a mask made of paint. The pixels corresponding to the contact areas it is transferred to; the white mask, on the other hand, has not received any paint. These represent pixels corresponding to non-contact areas. 20 The region of interest used in calculating the contact ratio is the part being measured (6) an inner circle and an outer circle corresponding to the ring-shaped contact surface. It is bounded by the inner and outer circles. The ring-shaped region between the inner and outer circles, This constitutes the region of interest where the contact ratio calculation is performed. The processing unit. 25 outside the boundaries of the area of ​​interest on paint mask and white mask. It does not include pixels in the contact ratio calculation. Thus, the measurement is based on the image's instead of the whole, the part measured within the defined contact surface region (6) is being carried out. In the calibration database, the boundaries of the region of interest corresponding to each product code. is stored. The processing unit corresponds to the product code (6) of the measured part, interest 30 It retrieves the region boundaries from the calibration database. This structure allows for different products. the region of interest corresponding to the contact surface geometries of the parts belonging to the codes 9 It ensures that it is evaluated within its boundaries. In an application of the invention. Interest area boundaries can be defined via the touch screen (2) and the relevant product It is stored among the measurement parameters belonging to the code. The processing unit counts the number of paint pixels located within the ring-shaped region of interest. and determines the number of white pixels. The contact ratio is the total number of paint pixels, 5% of the total number of white pixels. the ratio of paint to white pixel count, calibration multiplier specific to the relevant product code. It is calculated by multiplying by [number]. The percentage contact rate is given by the following equation: It is expressed as: Contact rate (%) = [Number of paint pixels / (Number of paint pixels) + Number of white pixels)] × 100 × m Here, m represents the calibration multiplier specific to the relevant product code. 10 Paint pixel count and white pixel count, within the ring-shaped region of interest. It refers to the determined number of pixels. The result of this calculation is... Contact ratio, the paint area ratio determined from the optical image, is product code-specific. This is the value evaluated using the calibration factor. The calibration factor is the optically determined contact 15 resulting from dye transfer. evaluation of the deviation between the ratio and the actual mechanical contact ratio It is a measurement parameter specific to the product code for an application of the invention. calibration multiplier, reference with known nominal contact ratio values The parts are determined according to the product code. The determined calibration... The multiplier is 20 in the calibration database, corresponding to the relevant product code. is stored. The processing unit calibrates the relevant product code for each measurement. retrieving the multiplier from the calibration database and calculating the contact rate. It uses. The calibration database also contains the threshold value for each product code. It stores. The contact ratio calculated by the processing unit is sent to the decision unit as 25. is transferred. The decision-making unit determines the calculated contact rate based on the threshold for the relevant product code. It compares it with the value. The calculated contact rate is equal to or equal to the threshold value. If it is greater than the threshold value, the decision is accepted; if it is less than the threshold... In this case, a rejection decision is generated. Thus, parts belonging to the same product code are subject to calibration. The measurement parameters and threshold 30 stored in the database for the product code in question. It is evaluated based on its value. In one application of the invention, the system records every decision generated by the decision unit. to record the time stamped parameters on which the decision is based It is structured. The saved parameters include the relevant threshold value and the boundaries of the region of interest. It includes calibration multiplier and color threshold ranges. This record structure is specific to a particular system. The remaining 5 points indicate which measurement parameters the acceptance / rejection decision was based on. This allows for the determination of the measurement parameters in a relevant manner. saving it along with the parameters will also help if the parameters are changed later. This ensures that the parameters on which the decision is based can be determined. In one application of the invention, the system processes the measurement result and the acceptance / rejection decision. a reporting unit that automatically generates reports and performance scorecards 10 It includes the measurement result obtained by the reporting unit and the processing unit. and uses the decision generated by the decision-making unit. Thus, the measurement result Quality control records relating to acceptance / rejection decisions are automatically generated. In a preferred application of the invention, the processing unit is the ring-shaped interest. It divides the region into multiple sectors in an environmental direction. The processing unit, each sector 15 to calculate the local contact rate and as an integral of inter-sectoral exchange It produces a regional homogeneity score. Local contact rates, total contact measurement data regarding the distribution of the area on a ring-shaped surface It constitutes the regional homogeneity score, which is calculated locally across sectors. It is determined based on changes in contact rates. 20 In the application where regional homogeneity scores are used, the decision-making unit is: calculated contact ratio with the threshold value belonging to the product code and regional homogeneity It compares the score to the relevant lower limit. The acceptance decision is based on the threshold of the contact rate. the value must be equal to or greater than the threshold value and the regional homogeneity score 25 if both conditions are met, such as being equal to or greater than the lower limit. It is produced. If any of the conditions are not met, a rejection decision will be made. is produced. In this application, the total contact rate and the peripheral aspect of contact are considered. The distribution is evaluated together. In another application of the invention, the system can measure multiple parts (6) in a single unit. It has multiple measurement modes that allow for collective measurement in a single image. This 30 In practice, contact of multiple parts (6) within a single image Surface images are evaluated by the processing unit. Multiple measurement modes. 11 Contact surface measurement of multiple parts via a single image. It is a practice aimed at its realization. In the measurement and acceptance process shown in Figure 4, the part being measured (6) is first, The part fixture / positioning platform (5) is placed on and illuminated. It is illuminated in a controlled manner with element (10). Camera (11), optical axis (12) 5 It takes an image of the contact surface of the part (6) along its length. The processing unit, adaptive contrast equalization, noise reduction, and color space on the image. performing the transformation processes; then paint mask and white mask It constitutes. The contact rate within the region of interest, bounded by the inner and outer circles. It is calculated and evaluated with a calibration multiplier specific to the relevant product code, and then 10 The regional homogeneity score is compared with the threshold value of the product code. in the application where it is used, local contact rates in the environmental sectors of the region of interest and the regional homogeneity score is also calculated and the relevant lower limit is taken into consideration in the acceptance decision. They are evaluated together. In this way, the system controls the physical contact pattern created by paint transfer. obtained under imaging conditions, corresponding to the ring-shaped contact surface numerical measurement in the region of interest, with a product code-specific calibration multiplier. evaluation and acceptance / rejection decision based on the threshold value of the relevant product code. It performs the connection processes in an integrated manner. Decision In the application where the parameters are recorded with a timestamp, the measurement result is 20 The relationship between the parameters on which the decision is based is also preserved. In one application of the invention, the product code-specific calibration factor (m), using reference parts with known nominal contact ratio values This is determined. For this purpose, the reference part or parts belonging to the relevant product code are used. Measurements are taken under the paint transfer and imaging conditions used in the system. 25 The processing unit has an independently determined nominal contact ratio with the reference part. Optical contact ratio calculated without applying a calibration multiplier. They are compared. The calibration factor is the nominal contact ratio of the optical contact. It is calculated by dividing by the ratio. m = R_nominal / R_optical 30 Here, R_nominal is the known nominal contact ratio of the reference part; R_optical the number of paint and white pixels from the camera image for the same reference part. 12 Expresses the contact ratio calculated without applying a calibration multiplier. If more than one reference part is used, for each reference part... The calibration multiplier for the product code is determined from the obtained ratios. The determined calibration multiplier will correspond to the relevant product code. The calibration is stored in the database, and the contact ratio is 5 in subsequent measurements. It is used in the account. Optical of a reference part with a nominal contact ratio of 80% If the contact rate is measured at 76%, the calibration factor is 80 / 76 = 1.0526. It can be calculated. In a measurement where this multiplier is used, the optical contact before calibration. If the ratio is 72%, the calibrated contact ratio is obtained as 72% × 1.0526 = 75.79%. 10 These values ​​are not the result of actual experimentation but demonstrate the calculation principle. It was given for this purpose. In a preferred application of the invention, the annular region of interest is environmental. It is divided into multiple sectors in this direction. The processing unit is located within each sector. Using the ratio of the number of paint pixels to the total number of paint and white pixels, the relevant 15 It calculates the local contact rate of the sector. Local contact rates are related to the product. Inter-sector contact is assessed by using a calibration multiplier specific to the code. It is used in determining the distribution. The regional homogeneity score (H) is the local contact calculated between sectors. It is determined based on the change in rates. In an example application, local 20 The largest and smallest difference between the contact rates is the percentage of the contact rate. It is normalized to its full scale, and the complement of this variation is the homogeneity score. It is calculated as follows. H = 1 − (R_max − R_min) / 100 Here, R_max represents the maximum local contact rate calculated between sectors; 25 R_min represents the minimum local contact rate. Local contact rates... In this example calculation, where the percentage ranges from 0 to 100, homogeneity... The score ranges between 0 and 1. The contact rates between sectors are similar to each other. As we get closer, the homogeneity score approaches 1. The decision unit is the total contact. The ratio is determined by the threshold value for the relevant product code and the lower limit of the homogeneity score (H_min) is 30. It compares them. The acceptance decision is made if both conditions are met simultaneously. It is produced. 13 In a region of interest divided into four sectors, local contact rates were 80% respectively. Assuming the percentages are 78%, 82%, and 76%, the largest and smallest values ​​are... The difference between them is 6 percentage points. In this case, H = 1 − 6 / 100 = 0.94. is calculated. In a hypothetical application where the lower limit of homogeneity is 0.90. The homogeneity condition is thus met. For the final acceptance decision, the total contact rate must also be 5. The product code must meet the threshold value. These values ​​are real. This is not application data. 15 25

Claims

14 REQUESTS 1. Image analysis of the contact surface quality of the plastic bed (6) parts It is an analysis system that evaluates, and its characteristic feature is;  a 5 in which the plastic bearing (6) part is repositioned in a repeatable manner part fixture (5), - a lighting that illuminates the plastic bed part (6) under controlled light a light cabinet (9) containing element (10), - Contact resulting from paint transfer to the plastic bed part (6) a camera that takes an image of its surface (11), 10 - Threshold value (T_p) corresponding to the relevant product code, boundaries of the region of interest, A calibration that stores the calibration factor (m) and color threshold ranges. database, - on the image taken from the camera (11), the contact where the paint was transported 15 contactless paint masks that did not get paint on the corresponding areas forming a white mask corresponding to the regions; belonging to the relevant product code. an inner circle that retrieves the boundaries of the region of interest from the calibration database. and within the annular region of interest bounded by an outer circle The number of paint pixels and the number of white pixels found are determined by the interest; Pixels outside the boundaries of the region are included in the contact ratio calculation. not; contact rate in percentage, total number of paint pixels the ratio of paint to white pixel count is 100 and specific to the relevant product code. a unit of processing that calculates by multiplying by a calibration factor (m), - Calculate the contact rate using the threshold value (T_p) for the relevant product code. comparing; contact ratio equal to or 25 times the threshold value. If it is greater than the threshold, the decision will be accepted; if it is less than the threshold value... The decision-making process that generates the rejection; each decision generated, the threshold value on which the decision is based, and the relevant factors. including zone boundaries, calibration multiplier and color threshold ranges a decision unit that records along with timestamped parameters It is characterized by its inclusion. 30 2. The analysis system mentioned in Claim 1, its characteristic feature is that the calibration database, Reference with known nominal contact ratio values ​​for the relevant product code. with nominal contact ratios of parts without calibration multiplier applied determined by comparing the calculated optical contact ratios. It is configured to store the calibration factor (m).

3. The analysis system mentioned in Claim 1, its characteristic feature is that the processing unit is the paint. Before creating the mask and white mask, the image was rendered in the LAB color space. Adaptive contrast equalization, followed by noise blurring 5 It will apply reduction and conversion to the HSV color space and with a dye mask. It will separate the white mask according to the color threshold ranges corresponding to the relevant product code. It is structured in a certain way.

4. The analysis system mentioned in Claim 3, its characteristic feature is that the processing unit is a ring. a defined area of ​​interest divided into multiple sectors in an environmental direction, with 10 for each sector calculating local contact rate and local contact rate calculated across sectors a regional homogeneity score as the complement of the variation in contact ratios (H) includes the module that calculates and the decision unit, the contact rate of the relevant product The threshold value (T_p) of the code must be equal to or greater than the threshold value, and regional homogeneity score (H) equal to or 15 times the lower limit (H_min). If both conditions are met, the decision will be accepted. Failure to meet any of these conditions will result in a rejection. It is structured in a certain way.

5. The analysis system mentioned in Claim 1 is characterized by its function as a lighting element. (10) is in the form of LED ring lighting inside the light cabinet (9). 20 6. The analysis system mentioned in Claim 1 is characterized by the plastic bearing (6) part. the contact surface image is displayed live and the region of interest touch screen (2) which includes a user interface with defined boundaries It includes.

7. The analysis system mentioned in Claim 1 is characterized by the fact that it obtains 25 by the processing unit. the measurement result obtained and the acceptance / rejection decision produced by the decision unit a reporting unit that creates reports and performance scorecards using It includes.

8. The analysis system mentioned in Claim 1 is characterized by its processing unit being a single unit. Multiple plastic beds (6) 30 are shown in the camera (11) image. It has multiple measurement modes that process contact surface images of the part. It is the fact that. 16 9. The analysis system referred to in Claim 1 is the main housing / body (1), upper support plate (3) and the display located on the upper support plate (3) The station includes opening (4).

10. The analysis system mentioned in Claim 6 is characterized by its touch screen (2), The control interface includes function keys (8). 5 15 25

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