Image Processing

Apple AR Kit and iPhone X

Apple AR Kit and iPhone X

Apples AR Kit Apple introduced the ARkit earlier this year, Tim Cook making it very clear about seeing potential in Augmented Reality more than Virtual Reality. ARkit is designed to work with your real-world environment, not even considering changes in lightning and shadows. The ARkit uses phones camera to measure…

FPGA’s Accelerating Image Processing 2017

Although computers keep getting faster and faster, there are always new image processing algorithms than is available. Examples of current high-demand applications include real-time video stream encoding and decoding, real-time biometric (face, retina or fingerprint) recognition, and military aerial and satellite surveillance applications. To meet the demands of these future…

Deep Learning and Computer Vision

Deep Learning and Computer Vision

Recent advances in Deep Learning have propelled Computer Vision forward.  Applications such as image recognition and search, unconstrained face recognition, and image and video captioning which only recently seemed decades off, are now being realised and deployed at scale. Machine learning techniques use data (images, signals, text) to train a…

Google’s Tensor Flow Library and Tensor Flow Version 1.0

Google’s Tensor Flow Library and Tensor Flow Version 1.0

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. Researchers and engineers of Google Brain Team within Google’s Machine Intelligence research organisation developed TensorFlow for…