Recognition

Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some cases considered to be nearly synonymous with machine learning. Pattern recognition systems are in many cases trained from labeled “training” data (supervised learning), but when no labeled data are available other algorithms can be used to discover previously unknown patterns (unsupervised learning)

Dejavu: audio fingerprinting and recognition in Python

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Audio fingerprinting and recognition algorithm implemented in Python, see the explanation here: How it works Dejavu can memorize audio by listening to it once and fingerprinting it. Then by playing a song and recording microphone input, Dejavu attempts to match the audio against the fingerprints held in the database, returning the song being played. Note that for voice recognition, Dejavu is not the right tool! Dejavu excels at recognition of exact signals with reasonable amounts of noise. Installation and Dependencies: Read INSTALLATION.md Setup First, install the above dependencies. Second, you’ll need to create a MySQL database where Dejavu can store fingerprints. […]


Subir un vídeo a Azure Video Indexer

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Conocer la edad de una persona mediante el reconocimiento óptico de caracteres y el análisis de imágenes (Computer Vision API de Microsoft Azure)

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Analizar las señales de radio y convertir a texto con Bing Speech API

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Escanear frecuencias y clasificar las señales encontradas (Neural Network signal recognition rtlsdr https://github.com/randaller/cnn-rtlsdr)

Para cada señal encontrada guardar en un fichero de audio (RTL SDR in Windows https://github.com/2013-UQ-Communication-Systems/public/wiki/Installing-RTL-SDR-in-Windows)

Convertir a texto el audio guardado (Bing Speech API https://azure.microsoft.com/es-es/services/cognitive-services/speech/)

 


Reconocer emociones de las caras de las personas que hay en una imagen con Emotion API de Microsoft Azure

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Extraer datos de varias imágenes de un vídeo MP4 mediante el reconocimiento óptico de caracteres y el análisis de imágenes (Computer Vision API de Microsoft Azure)

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Vídeo para analizar   Imágenes por separado Resultado del análisis


Escanear frecuencias y clasificar las señales encontradas

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Resultado de escanear Neural Network signal recognition rtlsdr https://github.com/randaller/cnn-rtlsdr


Extraer datos de una imagen que está subida a un servidor mediante el reconocimiento óptico de caracteres y el análisis de imágenes con Java utilizando Computer Vision API de Microsoft Azure

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Extraer datos de varias imágenes mediante el reconocimiento óptico de caracteres y el análisis de imágenes (Computer Vision API de Microsoft Azure)

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Extraer datos de una imagen que está subida a un servidor mediante el reconocimiento óptico de caracteres y el análisis de imágenes (Computer Vision API de Microsoft Azure)

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