Abstract
The recent emergence of low-cost single-board computers such as Raspberry Pi and Arduino, which are used as sensing devices with connectivity to the Internet gateways and cloud services, has led to Internet of Things (IoT) architectures in the real world. Visual IoT is one of the classes of IoT that poses crucial end-to-end challenges due to the need for sensing and processing of visual data. One of the significant roles of the visual IoT is information extraction from images by using image processing and image recognition techniques. In this paper, we first introduce a programming environment for visual IoT on Raspberry Pi camera system, and then discuss a couple of sample applications. The first one is an application for real-time information extraction based on Open Source Computer Vision Library (OpenCV) and the second one is an augmented reality (AR)-oriented application based on Open Vector Graphic (OpenVG).
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