Online Training – 20-hour Machine Vision Course
Kód: 98Detailní popis produktu
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Introduction to Machine Vision (2 hours)
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What machine vision is and its applications
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Key components of machine vision systems
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Typical applications (inspection, measurement, object recognition)
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Choosing the Light Source (3 hours)
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Basic lighting types: direct, diffuse, coaxial, ring
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Special lighting techniques: backlight, structured light, polarization
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Effect of wavelength on image quality
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Practical demonstrations of lighting for different applications
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Camera and Optics Selection (3 hours)
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Camera parameters: resolution, FPS, global vs. rolling shutter
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Lenses: focal length, aperture, depth of field
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Filters and their impact on image quality
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Selecting the right camera + lens combination
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Image Acquisition and Preprocessing (3 hours)
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Basics of image processing: filtering, histogram, thresholding
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Noise reduction, contrast and brightness adjustment
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Distortion correction and image calibration
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OpenCV and other tools for image preprocessing
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AI Algorithms for Image Analysis (4 hours)
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Classification
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Feature detection, distance measurement, object counting
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Machine learning and neural networks for image analysis
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Practical Implementation and Deployment (3 hours)
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System testing and result validation
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Optimizing speed and accuracy
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Integration with PLC / industrial systems
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Simulation and real-world case studies
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Q&A and Test (2 hours)
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Summary and recommendations for specific applications
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Final test and certificate issuance
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Tips for further development and study
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