Computer vision is a field of artificial intelligence that focuses on creating systems capable of processing, analyzing and interpreting images and videos. Computer vision uses algorithms and image processing techniques to mimic the human ability to perceive and understand the visual world.
Machine vision is used in a wide variety of applications, such as object recognition, anomaly detection, surveillance and security, industrial automation, medicine and robotics, among others. Machine vision systems can process images in real time, making them useful for applications that require fast, real-time response.
Machine vision systems use machine learning techniques, such as convolutional neural networks, to improve the accuracy and speed of image processing. These algorithms can learn to recognize patterns in large image data sets, enabling machine vision systems to detect and classify objects more accurately and quickly.
Machine vision is becoming an increasingly important tool for automating tasks that previously required human intervention, which is enabling efficiency gains and cost reductions in a wide variety of industries.
After the revolutions led by coal, electricity, and then electronics, society is now witnessing a fourth revolution in the energy sector.
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