Lack of precision in installing car windshield is a significant problem that can have many negative consequences. Imprecise windshield installation may cause leaks, resulting in water leakage and noise while driving. Additionally, it can affect the vehicle’s overall structural integrity, as car windshield often act as a significant structural strengthening element. Improperly installed windshield can also cause safety problems, for example, by weakening the vehicle’s structure in the event of an accident, especially in the case of windshield that are an integral part of the airbag system.
The system developed using Python, NumPy, OpenCV, Open3D, Trimesh, and Pyoints aims to solve this problem by ensuring high precision in automotive glass installation. Using advanced image processing techniques (OpenCV) and spatial data analysis (Open3D, Trimesh, Pyoints), the application can accurately identify the correct position and orientation of the glass and direct the practical and precise application of assembly adhesive. This allows the assembly to be carried out with extreme accuracy, minimizing the risk of the previously mentioned problems.
This system, using advanced algorithms and 3D data analysis, also enables automatic adjustment of the assembly process to the individual tolerances of each vehicle. Additionally, by increasing the precision of assembly, the application contributes to improving the overall quality and durability of the car and increasing the comfort and safety of users.