Long-term monitoring of heart rate is of great significance for the prevention and treatment of cardiovascular diseases.Commonly used equipment for this purpose includes patient monitor,electrocardiograph,smartwatch,sports bracelet,et al.They are all contact devices.Thus,skin indentation and itch are inevitable problems for long-term wearing.The technic named remote photoplethysmography (rPPG) can acquire heart rate from facial videos,which makes it a promising method for long-term heart rate monitoring.However,the data analyses of most rPPG researches rely on computer,which is a stumbling block to the commercialization and expansion of rPPG technic.To solve this problem,this paper attempts to realize heart-rate monitoring based on rPPG technic on the embedded platform.The monitoring system is mainly composed of Raspberry PI 4B development board,camera and touch screen.AdaBoost algorithm was used to realize face recognition and tracking.Forehead and cheek were selected as ROI.Butterworth bandpass filter was used to de-noise.BVP waveform was extracted according to POS model.The final pulse wave was obtained by blind source separation of multiple BVP waveforms from different ROIs.Heart rate was calculated by energy spectrum analysis.Experimental results show that our system has the same heart rate detection accuracy and robustness as PC terminal.The achievements of this paper should be useful for the miniaturization and popularization of long-term heart rate monitoring equipment,and also provide a strong guarantee for remote monitoring treatment in smart medical care.