Vital sign monitoring is essential to prevent diseases related to cardiac and respiratory activity. Remote photoplethysmography from facial video streams is a widely used non-contact monitoring approach, based on the detection of subtle changes in skin colour caused by cardiovascular activity. This paper proposes a photoplethysmography pipeline for Heart Rate, Breath Rate, and Blood Oxygen Saturation estimation integrated into a commercial and low cost mobile device, using its frontal camera for data acquisition. The smartphone's sensing, processing, and gateway capabilities enable its use anywhere and anytime, without requiring complex setups or dedicated specialists. The algorithmic pipeline includes two main blocks: pre-processing and feature extraction/vital signs estimation, integrating various algorithmic steps for photoplethysmographic signal extraction and the estimation of the previously introduced …