Multi-modality Mobile Image Recognition Based on Thermal and Visual Cameras

The advances of mobile computing and sensor technology have turned the mobile devices into powerful instruments. The integration of thermal and visual cameras extends the capability of computer vision, due to the fact that both images reveal different characteristics in images, however, image alignment is a challenge. This paper proposes an effective approach to align image pairs for event detection on mobile through image recognition. We leverage thermal and visual cameras as multi-modality sources for image recognition. By analyzing the heat pattern, the proposed APP can identify the heating sources and help users inspect their house heating system, on the other hand, with applying image recognition, the proposed APP furthermore can help field workers identify the asset condition and provide the guidance to solve their issues.