WO2026018108A1 - Système d'inspection automatique pour l'identification et l'évaluation de défauts sur des pare-brise de véhicule - Google Patents

Système d'inspection automatique pour l'identification et l'évaluation de défauts sur des pare-brise de véhicule

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Publication number
WO2026018108A1
WO2026018108A1 PCT/IB2025/056761 IB2025056761W WO2026018108A1 WO 2026018108 A1 WO2026018108 A1 WO 2026018108A1 IB 2025056761 W IB2025056761 W IB 2025056761W WO 2026018108 A1 WO2026018108 A1 WO 2026018108A1
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WO
WIPO (PCT)
Prior art keywords
windscreen
defects
vehicle
identifying
inspection system
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Pending
Application number
PCT/IB2025/056761
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English (en)
Inventor
Sergio FORTE
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Individual
Original Assignee
Individual
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Publication date
Application filed by Individual filed Critical Individual
Publication of WO2026018108A1 publication Critical patent/WO2026018108A1/fr
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/958—Inspecting transparent materials or objects, e.g. windscreens
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/958—Inspecting transparent materials or objects, e.g. windscreens
    • G01N2021/9586—Windscreens

Definitions

  • the invention falls within the field of advanced vehicle diagnostics, specifically in the sector of automated inspection by means of image capture.
  • the system uses a line scan camera with confocal chromatic technology to detect defects such as scratches, chips, and cracks on the windscreens of vehicles such as cars, trucks, and buses.
  • the invention in question includes modules such as diagnostic software, augmented reality for displaying defects, wireless communication for booking maintenance interventions, adaptive dynamic lighting adapted to improve image capture, and integration with autonomous driving systems, focused on improving the safety and maintenance of various types of vehicles.
  • the present document aims to introduce the state of the art related to the field of the art pertaining to the automatic inspection system for identifying and evaluating defects on vehicle windscreens, outlining the context in which the proposed innovation is inserted and analyzing the solutions currently available on the market.
  • the sector of visual inspection of vehicle windscreens which comprises cars, trucks and buses, is of crucial importance in the field of vehicle safety, given the need to maintain the transparency and integrity of the glass in optimal conditions to ensure adequate visibility while driving and greater safety.
  • the system proposed in this document represents a significant evolution in the field of windscreen inspection, incorporating a line scan camera provided with confocal chromatic technology, mounted on a mechanical extension device, to perform high- precision scans of the glass surface.
  • This innovative solution allows detecting a wide range of defects with an unprecedented level of detail and precision, thus exceeding the capabilities of the currently available systems.
  • the device is designed to be easily activated by means of a button from inside the vehicle, making the inspection process not only more efficient but also completely accessible to the end user.
  • the data collected through the scans are analyzed and displayed on an internal monitor, facilitating the localization and storage of anomalies until they are completely resolved.
  • the distinctive features of the system include the customization of the alert thresholds, the use of coaxial illumination to improve the contrast of the images and the ability to operate without the need for automatic focusing, elements that contribute to optimizing the efficiency and effectiveness of the inspection and that substantially differentiate the invention which is the subject matter of this patent from the systems and instruments used to date in this field of the art.
  • EP4170327A1 describes a computer-implemented method for detecting optical defects in a glass windscreen. This method is based on the input of a map of angular distances between primary images and ghost images of a periodic model with certain shape characteristics, observed through the windscreen, outputting an image of the optical defects in the windscreen.
  • the second patent, EP3444584A1 concerns an inspection device comprising a device suitable for acquiring images of a windscreen in order to detect any defects thereof.
  • the described device is based on an image acquisition system, this does not comprise any confocal chromatic technology adapted to effectively solve the problem of identifying defects at different depths of field, due to the curvature of the windscreen itself.
  • this latest patent also addresses a system applicable only in a workshop by specialized technicians, not allowing any automation and integration within the control and management systems of modem vehicles.
  • the automatic inspection system for identifying and evaluating defects on vehicle windscreens comprises at least a line scan camera provided with confocal chromatic technology and a mechanical extension device, with activation by means of a button and analysis of the data displayed on an internal monitor for the localization and storage of anomalies.
  • the line scan camera provided with confocal chromatic technology, is to acquire high-resolution images of the windscreen surface, accurately identifying defects such as scratches, chips, and cracks.
  • Confocal chromatic technology allows for precise measurement of the depth and shape of defects, thanks to its ability to discriminate between the various wavelengths of light reflected from the windscreen surfaces.
  • the mechanical extension device on which the camera is mounted allows for complete scans of the windscreen, ensuring the optimal distance between said line scan camera and said windscreen, in order to acquire the necessary images.
  • This component is essential to ensure that the entire surface of the windscreen is inspected without leaving any areas unexamined.
  • the system is activated by means of a button located inside the vehicle's passenger compartment, making the operation simple and immediate for the user. Once activated, the system automatically scans the windscreen and analyzes the data collected.
  • the data acquired by the camera are then analyzed by dedicated software, which identifies the nature and size of the anomalies detected.
  • This information is displayed in real time on an internal vehicle monitor, allowing the user to pinpoint the exact location of the identified defects.
  • the system is provided with a data storage system, which allows keeping a register of the detected anomalies, facilitating the monitoring of their evolution over time and the planning of maintenance or repair interventions.
  • the synergy between the line scan camera provided with confocal chromatic technology, the mechanical extension device, the activation button, and the data analysis software makes the automatic inspection system for identifying and evaluating defects on vehicle windscreens an innovative and highly effective solution for the early and accurate diagnosis of defects on vehicle windscreens.
  • This system not only improves safety and visibility while driving, but also offers a convenient and non-invasive method for maintaining windscreens, significantly contributing to reducing the costs and time required for repairs.
  • the line scan camera being provided with confocal chromatic technology, is strategically mounted on a mechanical extension device. This arrangement ensures that the camera can be positioned at the right distance from the windscreen, capturing high-resolution images of every part thereof.
  • Confocal chromatic technology characterized by its ability to discriminate the wavelengths of light reflected from surfaces, allows for the precise measurement of the depth and shape of defects present on the glass, offering a higher level of detail and precision in detecting anomalies with respect to traditional systems.
  • the synergy between the line scan camera, confocal chromatic technology, mechanical extension device, activation button, and data analysis software makes the automatic inspection system for identifying and evaluating defects on vehicle windscreens an innovative and highly effective solution.
  • This system not only improves safety and visibility while driving, but also offers a convenient and non-invasive method for maintaining windscreens, significantly contributing to reducing the costs and time required for repairs. Thanks to its ability to provide early and accurate diagnosis of defects, the proposed system represents a significant advancement in the field of windscreen inspection, best exploiting advanced technologies to ensure maximum efficiency and reliability in identifying anomalies.
  • the confocal chromatic technology essential in the automatic inspection system for identifying and evaluating defects on vehicle windscreens, represents a significant advancement in the diagnostic accuracy of glass surface defects.
  • the interaction between the confocal chromatic technology and the mechanical extension device is managed through sophisticated software, which processes the acquired images to identify and classify the windscreen anomalies.
  • This software uses advanced algorithms to analyze the geometric and optical features of the anomalies, based on the depth and lateral resolution data provided by the confocal technology.
  • the ability to accurately discriminate between various types of defects not only allows an accurate diagnosis, but also the estimation of their impact on safety and visibility, fundamental aspects for vehicle maintenance.
  • confocal chromatic technology represents a key element in the automatic inspection system for identifying and evaluating defects on vehicle windscreens. Thanks to its ability to provide high-resolution images and precise measurements of glass anomalies, this technology makes a significant contribution to the efficiency, accuracy and speed of the inspection process, meeting the safety and maintenance needs of modern vehicles.
  • the anchoring system of the mechanical extension device allows a safe and stable installation on the vehicle, avoiding vibrations or movements that could compromise the accuracy of the scans.
  • the design of the anchoring system takes into account the variety of vehicle models, ensuring wide compatibility and ease of installation.
  • the automatic inspection system for identifying and evaluating defects on vehicle windscreens comprises, among its key elements, an activation button and an internal monitor. These components are interconnected to ensure a smooth and intuitive interaction with the user, as well as a clear and detailed display of the anomalies detected on the vehicle's windscreen.
  • the activation button is ergonomically positioned inside the vehicle's passenger compartment, allowing the user to start the inspection system with a simple gesture.
  • This button is connected to the mechanical extension device on which the line scan camera provided with confocal chromatic technology is mounted, thus allowing the system to be activated without the need for complex manual interventions. Ease of activation is essential to ensure that the windscreen inspections can be performed smoothly and unobstructed, significantly contributing to driving safety.
  • the system proceeds to scan the surface of the windscreen.
  • the images captured by the camera are immediately transmitted to the internal monitor, which acts as the main interface for the user.
  • This monitor preferably in color and high definition, is configured to display images of the windscreen in real time, highlighting any anomalies detected through an intuitive graphic interface.
  • the display of anomalies is enriched with detailed information, such as the exact location, size and nature of the defect, providing the user with an immediate understanding of the condition of the windscreen.
  • This process not only facilitates the precise localization of anomalies but also allows the user to monitor the evolution of defects over time, thanks to the storage of data related to each inspection.
  • the data storage system essential in the automatic inspection system for identifying and evaluating defects on vehicle windscreens, comprises at least a data processing unit and a storage medium.
  • This module is configured to collect, process and store the information acquired by the line scan camera provided with confocal chromatic technology, during windscreen inspection operations.
  • the data processing unit is designed to receive the raw data captured by the camera as input and, through the use of specific algorithms, identify the nature, size and exact position of the anomalies detected on the windscreen, such as scratches, chips, cracks, and other irregularities. This processing allows raw data to be converted into useful information that can be easily interpreted by the user.
  • the storage medium connected to the data processing unit, is configured to store both the raw data and processed information. This feature ensures the availability of a historical register of identified anomalies, allowing to monitor the defects found over time. The ability to track the evolution of anomalies is crucial for planning targeted and timely maintenance or repair interventions, contributing to driving safety and the longevity of the windscreen.
  • the data storage system is integrated with the user interface of the internal vehicle monitor, allowing real-time viewing of the detected anomalies and related information. This synergistic interaction between the system components ensures that the user is always informed of the status of the windscreen and can make informed decisions regarding the need for maintenance.
  • the configuration of the data storage system not only facilitates the localization and monitoring of anomalies over time but, thanks to its integration with the other elements of the inspection system, contributes to the overall effectiveness of the proposed solution for detecting and managing defects on vehicle windscreens.
  • This aspect of the system represents a significant added value, improving vehicle maintainability and driving safety.
  • the image analysis software an essential component of the automatic inspection system for identifying and evaluating defects on vehicle windscreens, comprises at least a data processing module configured to analyze the images acquired by the line scan camera provided with confocal chromatic technology.
  • This software is designed to perform a series of critical functions, including the detection, classification, and quantification of windscreen surface anomalies such as scratches, chips, cracks, and other irregularities that can adversely affect safety and visibility while driving.
  • the first step of the image analysis begins with the acquisition of high-resolution images by the camera. This visual data is then fed into software, which uses advanced computer vision and machine learning algorithms to process and interpret the visual information.
  • the algorithms are configured to discriminate between normal variations in glass texture and true anomalies, based on predefined parameters of shape, size, and contrast.
  • the software proceeds to classify them into specific categories, such as superficial scratches or deep cracks, using criteria based on their nature and severity. This classification is essential for determining the priority and type of maintenance or repair intervention required. Additionally, the software quantifies the size and depth of the detected anomalies, providing precise data that is essential for estimating repair costs and planning interventions.
  • the ability of the software to accurately and thoroughly analyze windscreen images allows to exactly locate the defects, facilitating repair work and ensuring that no damaged areas are overlooked.
  • the analyzed information is then displayed in real time on the internal vehicle monitor, offering the user a clear and immediate representation of the windscreen conditions.
  • the image analysis software is a crucial element of the automatic inspection system, as it enables an accurate and reliable identification and evaluation of defects on vehicle windscreens. Thanks to its integration with the other components of the system, such as the line scan camera and the mechanical extension device, the software significantly contributes to the overall effectiveness of the invention, improving the safety and maintainability of vehicles.
  • the coaxial lighting system an essential component of the automatic inspection system for identifying and evaluating defects on vehicle windscreens, comprises at least a light source configured to emit a light beam which is coaxial with respect to the optical axis of the line scan camera provided with confocal chromatic technology.
  • This configuration significantly improves the contrast of images captured by the camera, making it easier to accurately identify anomalies such as scratches, chips, cracks and other imperfections on the windscreen surface.
  • the coaxial light source is preferably positioned so as to uniformly light the area of interest on the windscreen, without causing reflections or shadows that could alter the quality of the acquired image. This is achieved thanks to the precise alignment of the light source with the camera lens, thus allowing the glass surface to be directly lit at an optimal angle of incidence.
  • coaxial lighting system allows highlighting minute details and differences in depth on the windscreen surface, making it possible to detect anomalies that would otherwise be difficult to identify with traditional lighting systems.
  • the ability to discriminate between the various wavelengths of light reflected by windscreen surfaces, a feature of confocal chromatic technology, is further enhanced by the coaxial lighting, improving the accuracy of the measurements made by the system.
  • the coaxial lighting system is configured to work in synergy with the mechanical extension device and the line scan camera, ensuring that the lighting is always optimal during the different steps of the windscreen scan.
  • This integration ensures consistent image quality and a reliable identification of anomalies, significantly contributing to the overall effectiveness of the automatic inspection system for identifying and evaluating defects on vehicle windscreens.
  • the user interface for customizing alert thresholds is a crucial element of the automatic inspection system for identifying and evaluating defects on vehicle windscreens, allowing operators to adapt the system to different operational needs.
  • This interface comprises at least a configurable software module, a display for displaying configuration options, and input mechanisms, such as keyboards or touch screens, that allow users to interact with the system.
  • the user interface and monitor can also be shared with the rest of the management and control systems present in the vehicle in question.
  • the configurable software module is designed to accept variable user-defined parameters, such as the minimum size of anomalies to be detected and the severity of defects that must generate an alert.
  • This module works in synergy with the image analysis software, allowing unprecedented operational flexibility. For example, operators can decide to set lower alert thresholds for vehicles that require ongoing visibility, such as those intended to carry passengers, and higher thresholds for service or freight vehicles or those intended to operate in rough terrain, where small scratches might be considered acceptable.
  • the software module for diagnosing and estimating costs is a crucial component of the automatic inspection system for identifying and evaluating defects on vehicle windscreens.
  • This module comprises at least a processor and memory, configured to run advanced image analysis algorithms.
  • the data processing occurs after high-resolution images of the windscreen surface have been collected by a line scan camera provided with confocal chromatic technology.
  • the detected anomalies such as scratches, chips, cracks, and others, are identified based on their nature and size thanks to the sophisticated analysis provided by the software.
  • the software module proceeds with the repair cost estimate.
  • the software module supports the customization of anomaly alert thresholds, allowing operators to configure the system to meet specific inspection needs. This flexibility further improves the system's effectiveness in monitoring the condition of the windscreens and contributing to driving safety.
  • the software module for diagnosing and estimating costs represents an innovative element of the automatic inspection system for identifying and evaluating defects on vehicle windscreens, offering a significant contribution to the efficient management of maintenance and to the reduction of costs and times required for repairs.
  • the AR viewer for augmented reality an integral component of the automatic inspection system for identifying and evaluating defects on vehicle windscreens, comprises at least a transparent optical display and a data processing module.
  • This device is configured to digitally overlay information about anomalies detected on the windscreen directly into the operator's field of vision, significantly improving the understanding and localization thereof.
  • the AR viewer is dedicated to the operator in the sector, who through this tool can easily detect the position of the anomalies detected on the windscreen and therefore proceed with the repair intervention.
  • the data processing module connected to the line scan camera provided with confocal chromatic technology and the data storage system, receives detailed information regarding the identified anomalies. This information is processed and translated into virtual images which are then projected onto the transparent optical display of the AR viewer.
  • the superposition of virtual information with the real view of the windscreen allows operators to have a direct perception of the nature and extent of anomalies, significantly improving the effectiveness of the diagnosis.
  • the wireless communication module an essential component of the automatic inspection system for identifying and evaluating defects on vehicle windscreens, comprises at least a data transmission unit and management software connected to the network.
  • This module is designed to facilitate communication between the inspection system and external infrastructures, such as workshops or service centers, allowing efficient logistical management of the necessary maintenance.
  • the data transmission unit is configured to automatically send information about anomalies detected by the inspection system, such as the nature, size and location of defects on the windscreen, to a centralized server.
  • This server thanks to the management software, processes the data received and identifies the closest or most suitable workshop to carry out the necessary repairs, taking into account the availability of appointments and the technical specifications required for the intervention.
  • the management software proceeds with the booking, subject to authorization by the vehicle owner, through said user interface, of the repair appointment, sending a confirmation to both the inspection system present in the vehicle and to the designated workshop.
  • This process not only reduces the time required to arrange repairs, but also improves the user experience, as the user receives real-time appointment booking information, including date, time and location, directly on the internal vehicle monitor or by means of an associated mobile application.
  • the integration of the wireless communication module into the automatic inspection system for identifying and evaluating defects on vehicle windscreens represents a significant innovation in the field of vehicle maintenance. Thanks to its ability to automate the logistics management of repairs, the module helps reduce vehicle downtime and optimize maintenance processes, ensuring timely and accurate intervention to restore the full functionality and safety of the windscreen.
  • the automatic inspection system for identifying and evaluating defects on vehicle windscreens comprises a dynamic adaptive lighting system, configured to optimize the visibility of anomalies detected on the glass surface. This system is essential to ensure that, regardless of the external lighting conditions, the images captured by the line scan camera are of high quality and that windscreen defects such as scratches, chips and cracks are clearly visible.
  • the dynamic adaptive lighting system consists of a plurality of light sources, preferably LEDs, which are controlled to vary both the intensity and the direction of the emitted light as a function of the detected environmental conditions.
  • the dynamic lighting adjustment is managed by a control module, which receives input from both the inspection system and external environmental sensors.
  • the latter are configured to detect various parameters, such as external brightness and the angle of the sunlight, allowing the system to automatically adapt the lighting optimally. For example, in bright external conditions, the system can increase the intensity of the coaxial light to counteract reflections that could hinder the correct identification of anomalies. Similarly, in low-light conditions, the intensity and direction of light can be modified to improve the contrast of captured images, making it easier to analyze anomalies.
  • the system is provided with a predictive analysis algorithm, an essential component of the automatic inspection system for identifying and evaluating defects on vehicle windscreens, comprising at least a processor configured to process the data acquired by the line scan camera provided with confocal chromatic technology.
  • This algorithm is designed to analyze the windscreen images and, through the use of machine learning techniques and statistical analysis, assess the probability of evolution of the identified defects over time.
  • the predictive functionality is based on the analysis of the defect’ s features, such as size, depth, and location, comparing them with historical databases of defect evolution under similar conditions.
  • the prediction generated by the algorithm is then displayed on the internal vehicle monitor, providing the user with an immediate assessment of the risk associated with each detected defect. Furthermore, the algorithm is configured to suggest preventive maintenance interventions, calculating the optimal times for such interventions in order to reduce the risk of major damage and safeguard driving safety.
  • This system component not only increases maintenance effectiveness by preventing defects from escalating to more critical stages, but also helps optimize vehicle management costs by allowing users to plan repair interventions proactively and based on concrete data. Therefore, the integration of the predictive analytics algorithm into the vehicle windscreen inspection system represents a significant advancement in the field of preventive maintenance, improving the safety and durability of windscreens through an approach based on prediction and data analysis.
  • the integration of the automatic inspection system for identifying and evaluating defects on vehicle windscreens with autonomous driving systems significantly improves vehicle safety through the proactive management of anomalies detected on the windscreen.
  • This aspect of the invention involves two-way communication between the inspection system and the autonomous driving control system of the vehicle.
  • the inspection system comprising at least a line scan camera provided with confocal chromatic technology and a mechanical extension device, is configured to accurately identify and automatically assess any windscreen defects, such as scratches, chips and cracks. Once anomalies are detected, the system processes the acquired data and sends it to the autonomous driving system.
  • the autonomous driving system receiving this information, is configured to adapt the operating strategies thereof as a function of the integrity of the windscreen. For example, in the presence of defects that significantly compromise visibility or the structural integrity of the windscreen, the autonomous driving system can decide to reduce the vehicle's speed, suggest alternative routes that avoid adverse weather conditions or, in the most critical cases, advise the driver to stop the vehicle and request maintenance.
  • This integration also enables autonomous driving systems to be enriched with a further level of sensory data, improving the system’s ability to make informed decisions in real time to ensure maximum passenger safety. Furthermore, the ability of the inspection system to store and monitor the evolution of anomalies over time allows maintenance interventions to be scheduled at optimal times, minimizing interruptions to vehicle use and ensuring that the windscreen conditions are always optimal for autonomous driving.
  • the integration of the inspection system with autonomous vehicle driving systems represents a significant advancement in vehicle technology, offering an innovative approach to preventive maintenance and road safety, ensuring that vehicles are always in ideal conditions for autonomous driving, regardless of external conditions or natural wear and tear of the windscreen.
  • FIGURE 1 shows an external side view of a vehicle 1 comprising a windscreen 2, a support structure 3 adapted to support a mechanical extension device 5 to which a line scan camera 4 with confocal chromatic technology is connected.
  • FIGURE 2 illustrates an internal view of the passenger compartment of said vehicle 1, highlighting an internal vehicle monitor 7 and an activation button 6.
  • FIGURE 3 shows a detail of said line scan camera with confocal chromatic technology 4, highlighting a coaxial lighting system 10.
  • FIGURE 4 illustrates an operating diagram of said automatic inspection system for identifying and evaluating defects on vehicle windscreens, highlighting said line scan camera with confocal chromatic technology 4, image analysis software 9 comprising a predictive analysis algorithm 19, a data storage system 8 and a user interface 12.
  • FIGURE 5 illustrates a detail of said internal vehicle monitor 7, comprising said graphic interface 12 and a graphic illustration of the windscreen defects 13.
  • the figure shows an external side view of a vehicle 1, such as a car, truck or bus, provided with a windscreen 2.
  • the windscreen inspection system 2 comprises a support structure 3 adapted to support a mechanical extension device 5 to which a line scan camera 4 with confocal chromatic technology is connected.
  • Said line scan camera 4 with confocal chromatic technology is designed to perform high- precision scans of the surface of said windscreen 2, enabling the automatic identification and evaluation of any defects of said windscreen 2, such as scratches, chips, cracks, bubbles, non- uniform thickness, deformations or other anomalies.
  • the confocal chromatic technology allows obtaining detailed and high-contrast images of the surface of the said windscreen 2, without the need for automatic focusing, thus ensuring greater reliability and scanning speed.
  • Said mechanical extension device 5 allows the line scan camera 4 with confocal chromatic technology to be positioned at the optimal distance with respect to the surface of the windscreen 2 for the image acquisition.
  • the inspection system is activated, whenever the user wishes, by means of an activation button 6 situated inside the passenger compartment of the vehicle 1.
  • an activation button 6 situated inside the passenger compartment of the vehicle 1.
  • the mechanical extension device 5 is activated, bringing the line scan camera 4 with confocal chromatic technology into position to begin scanning said windscreen 2.
  • the data collected by the line scan camera 4 with confocal chromatic technology is processed by image analysis software 9, which identifies and classifies the defects detected on the surface of said windscreen 2.
  • image analysis software 9 can be customized to set specific alert thresholds for different types of defects, allowing the user to define the sensitivity level of the inspection system.
  • the analysis results are displayed on an internal vehicle monitor 7, which features an intuitive and easy-to-use user interface 12.
  • This user interface 12 allows the user to view a graphical illustration of the defects on the windscreen 13, showing the location and type of each detected anomaly. Furthermore, said user interface 12 allows the user to access advanced functions of the system, such as customizing alert thresholds and managing historical inspection data.
  • the data related to the detected defects are stored in a data storage system 8, which tracks the evolution of the anomalies over time. This allows monitoring the progression of defects and planning repair or replacement interventions of said windscreen 2 in a timely and efficient manner.
  • a further innovation of the system is represented by the predictive analytics algorithm 19, which uses historical inspection data and machine learning models to predict the evolution of defects over time.
  • This predictive tool helps anticipate potential problems and schedule preventive maintenance, reducing overall ownership costs of the vehicle 1 and increasing user safety.
  • the windscreen inspection system can be integrated with other advanced features, such as a software module for diagnosis and estimating repair costs, which provides the user with detailed information on the intervention options and related costs.
  • a wireless communication module can be integrated in the system to enable the automatic booking of repair appointments at authorized service centers, simplifying the maintenance process and reducing downtime of the vehicle 1.
  • a dynamic adaptive lighting system can be implemented, which automatically adjusts the intensity and direction of the light based on the ambient conditions and the position of the line scan camera 4 with confocal chromatic technology with respect to the windscreen 2.
  • the integration of the windscreen inspection system with autonomous driving systems can help improve the overall safety of said vehicle 1, by providing real-time information on the status of said windscreen 2 and allowing driving strategies to be adapted based on the conditions of the glass.

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  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

Système d'inspection automatique pour l'identification et l'évaluation de défauts sur des pare-brise de véhicule comprenant au moins une structure de support conçue pour supporter au moins un dispositif d'extension mécanique sur lequel est disposée une caméra à balayage linéaire à technologie chromatique confocale conçue pour fournir une résolution latérale et une profondeur de champ optimales, permettant l'acquisition d'images haute définition dudit pare-brise et l'identification précise de tous défauts présents sur celui-ci, lesdits défauts étant ensuite représentés, en position et en forme, par une illustration graphique sur un moniteur de véhicule interne et stockés dans un système de stockage de données.
PCT/IB2025/056761 2024-07-16 2025-07-03 Système d'inspection automatique pour l'identification et l'évaluation de défauts sur des pare-brise de véhicule Pending WO2026018108A1 (fr)

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IT202400016423 2024-07-16

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3444584A1 (fr) 2016-04-14 2019-02-20 Agc Inc. Dispositif d'inspection et procédé d'inspection
US20230020684A1 (en) * 2019-12-13 2023-01-19 Corning Incorporated Laser based inclusion detection system and methods
EP4170327A1 (fr) 2021-10-22 2023-04-26 Saint-Gobain Glass France Procédé et système de détection des défauts optiques dans un pare-brise en verre

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3444584A1 (fr) 2016-04-14 2019-02-20 Agc Inc. Dispositif d'inspection et procédé d'inspection
US20230020684A1 (en) * 2019-12-13 2023-01-19 Corning Incorporated Laser based inclusion detection system and methods
EP4170327A1 (fr) 2021-10-22 2023-04-26 Saint-Gobain Glass France Procédé et système de détection des défauts optiques dans un pare-brise en verre

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
CURTIS M IHLEFELD ET AL: "A Portable High-Resolution Surface Measurement Device", IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, IEEE, USA, vol. 62, no. 1, 1 January 2013 (2013-01-01), pages 205 - 209, XP011477127, ISSN: 0018-9456, DOI: 10.1109/TIM.2012.2212511 *

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