This scaled-down prototype was designed using a Raspberry Pi 4 (main processor), two cameras, WiFi module, Google’s Firebase (real-time logging database), and a mobile application. An intelligent parking spot detection system is proposed to identify available parking spots in real-time using machine learning techniques, and ultimately deliver this data to a user via a mobile application. In the future work, however, this system can be reconfigured, and cost-optimized such that it can easily be installed onto real HVAC air ducts.Īccording to USA Today, drivers in New York City spend an average of 107 hours per year looking for parking spots, in which 42% of respondents said they missed an appointment, 34% abandoned a trip, and 23% experienced road rage. In this report, we demonstrate a prototype of our FPGA-based ANC system on noise propagating through a PVC pipe. Creating an FPGA-based ANC system allows us to address the broader problem of noise pollution by reducing one of the most prominent contributors to indoor noise pollution: HVAC ducts. Our project aims to make this ANC system viable for real world applications by replicating the functionality of MATLAB’s Simulink model entirely within a single portable FPGA. However, because this project necessitates Simulink installed on a computer to process signals and a Speedgoat Real-Time machine to convert signals between analog and digital, this ANC system is in no way meant to be deployed on real applications like office building HVAC ducts. This example project serves nicely in studying ANC systems in general. MATLAB has an active noise control (ANC) system available on their website titled “ActiveNoise Control with Simulink Real-Time”. Using a voltage sensor and a current sensor connected to Arduino Mega, the system can monitor power in the real time. The tests show that the battery (15.65 Wh) charged by the solar panels can power 10 LED bulbs of 1.5 W each for 10 hours. The system is based on a feedback control, using a tracking sensor with 4 photoresistors, providing signals to Arduino Mega controlling 2 servo motors. The solar powered or any complicated algorithms or GPS coordinates. The system utilizes a dual axis solar tracking to position the panels perpendicular to the sun rays so that their performance is enhanced compared to a stationary system of solar panels. It is a mobile system that does not require the electrical grid. The portable solar tracking power system is a physical device that can be used off-grid to collect solar energy from the sun to charge an internal battery. Project 1 Portable Solar Tracking Power System
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