ACEBOTT QD023 is an ESP32-based wearable gesture control glove that tracks finger movements with potentiometers instead of more traditional flex sensors.
If you wanted to build a robot that chased light, you might start thinking about Raspberry Pis, cameras, and off-the-shelf computer vision systems. However, it needn’t be so complex. [Ed] of ...
If there is one thing we took from [azwankhairul345’s] environmental monitor project, it is this: sensors and computing power ...
The best smart thermostats we've tested can control your home's heating and cooling with your phone or voice—and might help you save on energy costs. I’ve been working with computers for ages, ...
Abstract: This paper presents a novel adaptive predictive proportional-integral-derivative (PID) control using a new output recurrent fuzzy broad learning system (ORFBLS) for setpoint control of a ...
Abstract: This brief focuses on developing a hybrid fractional-order PID (FOPID) controller enhanced with fuzzy logic to regulate the output voltage of a DC-DC Buck converter. The FOPID controller ...
The Arduino Computer Vision Controller is a project that aims to provide a simple and intuitive way to control an Arduino board using computer vision techniques. By leveraging the power of computer ...
A command-line tool to manage Dell server fan speeds using IPMI. Features include manual fan control, automatic control, and an advanced PID controller for temperature-based fan management. This tool ...
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