In order to solve the problem of low accuracy of the existing non-contact heart rate detection and realize the monitoring of cardiovascular diseases in low illumination environment, this paper proposes a heart rate detection method combining multi-spectral imaging technology with imaging photoelectric plethysmography (IPPG), which uses the characteristics of hummingbird V1 multi-spectral camera, such as wide spectral band range (350 nm~950 nm) and high energy utilization rate, to realize non-contact heart rate detection and improve the sensitivity and accuracy of the detection results. In this paper, Hummingbird V1 and the same CMOS RGB camera are used to collect video images of human faces at the same time in low illumination, and the heart rate is detected by spatial pixel averaging and independent component analysis, and the standard heart rate parameters of volunteers are compared and analyzed. The experimental results show that the multispectral camera can detect the heart rate under the illumination of 6 Lux, which is 10 Lux lower than that of RGB camera, and its error is ≤5 bpm under the condition of 18.5 Lux, which is 5.84 bmp lower than that of RGB camera. Therefore, multi-spectral imaging technology can effectively improve the accuracy of non-contact heart rate detection in low illumination.