Using RFIDs and FPGAs for Bayesian localization and active noise cancellation www.uptx.edu.mx/soundrise
The goal of this project is to develop Bayesian based technology and applications related with real-time entities localization and tracking. Particularly we concentrate our work in delimited environments using active radio-frequency identification (active-RFIDs). In order to obtain a robust and reliable real-time locating system (RTLS), a hybrid method, integrating active-RFIDs and computer vision will be used. A co-developed innovative application will be obtained: a noise-cancellation system for dynamic environments.
In our industrial society, millions of peoples are exposed to very high levels of acoustical noise carrying enormous negative health and economic consequences. Our goal is to implement a noise-cancellation system to modulate and control de intensities, frequencies and phases of the reducing generated waves in dynamic environments. The hardware support will be based on the use of DSP, FPGA and RFID technologies in order to obtain healthier noise standards.
The above technology and applications will be based on the Bayesian paradigm.
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