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Курс от Universitat Politècnica de València
courseraАнализ данных
Artificial Vision for Textile quality control
Курс от Universitat Politècnica de ValènciaО курсе
Quality control is a key requirement in the industrial production of textiles. This can be carried out manually through visual inspection or automatically using computer vision technologies. The higher the level of automation, the greater the percentage of production that can be effectively monitored. Artificial vision enables faster inspection and makes it possible to examine the entire output with consistent performance and reliability. This course is designed for professionals in the textile industry who are interested in learning about emerging technologies and increasing their competitive advantage by adding value to their products. Participants will strengthen their technical profile, improve their employability, and enhance their professional capabilities. The course begins with an introductory overview and presents the most frequent textile defects that can be detected through artificial vision. It also explains the configuration of vision systems and the procedures required to inspect textile fabrics automatically.
Навыки, которые вы освоите
Image AnalysisComputer VisionAnomaly DetectionData PreprocessingDigital Signal ProcessingAutomation EngineeringArtificial Intelligence and Machine Learning (AI/ML)Machine Learning MethodsFailure AnalysisComputer HardwareManufacturing and ProductionQuality ControlQuality AssuranceAI literacyStructural AnalysisImage Quality
Программа курса
5 модулей · 166 учебных материалов
01Introduction to woven fabrics47 материалов
Учитесь у экспертов
Marilés Bonet-Aracil
Преподаватель курса
Eva Bou Belda
Преподаватель курса
Pablo Díaz García
Преподаватель курса