Image Processing involves application of mathematical functions and algorithms for image transformation e.g. image smoothing, sharpening, contrasting and stretching.
Computer Vision on the other hand applies machine learning to recognize patterns for interpretation of images. Both Image Processing and Computer vision take Image as the input. While the output of Image Processing is an Image, the output of Computer Vision includes information on size, color intensity, object recognition, defect identification, etc. Image Processing is hence a subset of Computer Vision.
Alletec leverages Microsoft Azure to enable you extract rich information from images to categorize and process visual data, and perform machine-assisted moderation of images.
Get information about visual content found in an image. Use tagging, domain-specific models and descriptions in four languages to identify content and label it.
Object Detection enables you get location of thousands of objects within an image. Image types and color schemes in pictures can be identified.
Images can be analyzed to identify outdoor vs indoor. Image analysis can also tell about the mood & sentiment of people in the image.
State-of-the-art optical character recognition (OCR) enables you detect embedded printed and handwritten text, extract recognized words into machine-readable character streams and enable search.
Recognize in your images more than 10,00,000 celebrities from business, politics, sports and entertainment, as well as 9,000 natural and manmade landmarks from around the world.
Perform near-real-time analysis on frames taken from a live video stream. These frames are sent to the API.
Microsoft Azure provides services for Computer Vision, Face recognition, Ink Recognizer, Video Indexer, Form Recognizer, and Custom Vision.
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