Sentence examples for capture recognition from inspiring English sources

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Next it will be wearables, which offer even greater capture, recognition and recording functionality, deepening the digital well.

Section 2 analyzes the color space, video image capture, recognition and segmentation, existing algorithms, and color sensor.

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Kinect enables full-body motion capture, voice recognition and face recognition, allowing gamers to use their bodies, voices and faces instead of conventional game controllers.

The research initiative highlighted projects exploring technologies for emotion detection, real time video capture, gesture recognition, vision based reasoning, machine learning, biofeedback and augmented reality.

Apple itself already has patents and assets across motion capture, facial recognition and augmented reality, partly by way of three other European acquisitions, respectively PrimeSense, Polar Rose and Metaio.

Apple itself already has patents and assets across motion capture, facial recognition and augmented reality, partly by way of three other European acquisitions, respectively PrimeSense, Polar Rose and Metaio.

Entrepreneurial abilities capture opportunity recognition, viability screening and creative problem-solving skills, while entrepreneurial attitudes refer to autonomy, risk, work and income of the individual (Douglas and Shepherd 2005).

Letting consumers build lists from pictures – either through visual search of image capture and recognition, is far more compelling than forcing a textual search of endless scrolling through categories to find the exact brand and size or struggle with various bar code scanners.

The biometric capture and recognition are performed during a standard Web session.

The NALFIA is analogous to the lateral flow immunoassay technology used in RDTs, but uses DNA capture and recognition sequences and antibodies to attach these sequences to the reporter molecule and the nitrocellulose.

In general, expected functions from a vision machine are the exploitation and imposition of the environmental constraint of a scene, the capturing of the images, analysis of those captured images, recognition of certain objects and features within each image, and the initiation of subsequent actions in order to accept or reject the corresponding objects.

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