HAPADS is an ambitious project that will custom design and build a novel air mobile monitoring system (devices, data acquisition, analysis, and user interface), which will enable end-users (drivers, transport companies, municipalities, and the at-large public) to make information-driven decisions to mitigate air pollution exposure. The project aims to develop:
- detector design (microwave-based NO2 sensor and time-delay-integration (TDI) image-based particulate matter (PM) sensor)
- programmable multiprocessor hardware for data acquisition and signal processing with parallel edge computing and deep learning algorithms support.
embedded software for calibration and optimization of sensors.