Certificate in Machine Vision for Smart Transportation
-- ViewingNowThe Certificate in Machine Vision for Smart Transportation is a comprehensive course that equips learners with essential skills in machine vision technology, a critical component of smart transportation systems. This course emphasizes the importance of machine vision in enhancing transport efficiency, safety, and sustainability, preparing learners for the growing industry demand.
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โข Introduction to Machine Vision · Understanding the basics of machine vision and its applications in smart transportation.
โข Image Processing Techniques · Learning about image processing techniques used in machine vision, such as filtering, edge detection, and feature extraction.
โข Object Detection and Recognition · Identifying and recognizing objects in images and videos, including vehicles, pedestrians, and traffic signs.
โข Machine Learning for Machine Vision · Applying machine learning algorithms to machine vision applications, such as deep learning and convolutional neural networks.
โข Machine Vision Hardware · Understanding the hardware components used in machine vision, such as cameras, lenses, and image sensors.
โข Machine Vision Software · Learning about software tools and frameworks used for machine vision, such as OpenCV and TensorFlow.
โข Real-Time Machine Vision · Designing and implementing real-time machine vision systems for smart transportation, such as traffic monitoring and automatic license plate recognition.
โข Machine Vision for Autonomous Vehicles · Exploring the use of machine vision in autonomous vehicles, including object detection, lane detection, and pedestrian tracking.
โข Machine Vision System Design · Designing and implementing machine vision systems, including system architecture, hardware and software components, and testing and evaluation.
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