During a two-month summer internship at the Energy Efficiency Control Optimization Laboratory at Texas A&M University, I undertook the design and implementation of a low-cost Data Acquisition (DAQ) module. This module is primarily used to measure critical parameters of compressed air systems.
This security robot prototype offers both autonomous and manual control for versatile indoor and outdoor surveillance. It features a 1080P camera for real-time video streaming and uses a machine learning algorithm for people detection, powered by a custom Python program.
This project represents an approach of defining the position of a mobile robot by detecting Wi-Fi signals around it and implementing machine learning algorithms.
This flight controller can be used for controlling model and high-power rockets and provide all the necessary functionalities for data measuring and logging as well as controlling thrust vector control systems.