Despite promising performance, the use of static camera setups requires subjects to remain static inside a field of view (FoV) for a prespecified duration. Due to inconsistent ambient environmental conditions, the transit of individuals through the FoV, and the time it may take to triage individuals, the widespread adoption of static camera systems to continuously monitor vital signs has had suboptimal uptake. Robotic systems enable autonomous and continuous monitoring, but these require expensive cameras, computers, and robotic platforms, limiting widespread deployment. In response, we propose a cost-effective and scalable robotic solution consisting of two parts: 1) a suite of commercial, off-the-shelf wireless cameras for capturing photoplethysmography (PPG) on ambulatory subjects linked to a single computer that supervises the cameras to compute the vital signs of subjects; 2) a hybrid centralized/decentralized wireless machine vision protocol for enabling enable real-time streaming of high-quality PPG from multiple cameras simultaneously. Our results demonstrate that the proposed cost-effective wireless camera achieves equivalent remote-PPG accuracy to its costly, USB3 counterparts (5.0 BMP vs. 4.7 BPM) by means of the hybrid camera protocol which boosts the overall frame rate to 17 FPS. In contrast, using the standard method that captures the PPG with the same spatial resolution can only achieve 1 FPS. We also show that the proposed hybrid protocol--which partially offloads PPG computation and region of interest (ROI) tracking from the PC to the camera-enables simultaneous monitoring of five subjects while maintaining the same frame rate and rPPG accuracy using just one computer.