Real-time image processing for remote sensing

This paper proposes a real-time remote sensing distributed architecture to help monitor waste-water level inside a pumping station for the sewerage system. This solution takes advantage of remote sensing principles to get information from urban infrastructure elements. Our solution essentially uses a video camera coupled with a distributed application programmed in Java with storage and image processing capabilities. Two algorithms have been used to detect the edge of the images and a third one has been developed for wastewater level estimation. The experimentation shows that the use of video and image processing in real-time is cost-efficient and greatly improves our knowledge of the monitoring conditions, while conventional methods with sensors give much less information.