Abstract: Attendance is taken as a important aspect in learning process but manual methods are slow. This paper describes the design, implementation, and assessment of an edge-based face recognition ...

Our team of computer vision developers develops custom image and video analysis software for machine vision and computer vision systems. We build computer vision software that can perform multiple ...

Abstract: Computer vision and video analytics are the torrid research area in Machine learning and their establishment process traditionally starts with object detection and eventually tracking. In ...

Hands-On Computer Vision with TensorFlow 2 Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras This is the code repository for Hands-On Computer Vision with ...

Computer Vision emulates human vision, processing images and videos through Deep Learning techniques. Tasks in Computer Vision are divided into discriminative and generative categories. Discriminative ...

Developers and Tensorflow enthusiasts may be interested in a new smart artificial intelligent camera in the form of the Imago VisionAI. The VisionAI offers support for TensorFlow Lite or AutoML Vision ...

This is the code repository for Hands-On Computer Vision with TensorFlow 2 by Benjamin Planche and Eliot Andres, published by Packt. This book is a practical guide to building high performance systems ...

[caption id="attachment_39929" align="alignnone" width="800"] via TensorFlow blog [/caption] Abstraction is a common trait amongst the now widely used machine ...