English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Face recognition is one of the most biometric tool used due the size reduction of embedded systems, the high processing data speed and the best comprehension of face recognition problem from the pattern recognition and digital image processing paradigms. In this work we present a system which is implementing optimized open source libraries in a low cost embedded mobile system, using a trained convolutional neural network which is freely available and reaching 100 % of recognition.

Reconocimiento de rostros por medio de Openface en una Raspberry Pi