The INMP441 microphone outputs filtered 24-bit digital audio via I2S, making it easy to use with ESP32 and Arduino IDE. You’ll build projects that measure sound intensity, display sound waves on the Serial Plotter, and switch an LED on or off by clapping.

This 25 × 25mm board packs an ESP32-C3 microcontroller, IMU motion sensor, battery charger, and wireless features, letting you connect various sensors via a Qwiic port for physiological and environmental monitoring.

Replacing disposable batteries in IoT devices with energy harvesting means redesigning power architecture to include a harvester, energy store, and PMIC. Thanks to improved solar cells, power management ICs, and energy storage materials, you can follow six standard steps to make the switch.

Space Drums 2.0 are wireless drum sticks with built-in sensors and haptic feedback that track your motion precisely and send low-latency signals to foot pedals. The Python game shows notes dropping in 3D space, guiding you through beginner lessons and rhythm practice while you feel every hit.

Using an ESP32-CAM and clever GPIO sharing, this wearable device captures images on demand, sends them to a cloud AI for description, converts that to multilingual speech, and plays it loud enough to guide visually impaired users about their environment.

The PocketBeagle 2 packs a dual-core ARM Cortex-A53 and Cortex-M4F processor into a credit card-sized board with 512MB RAM, 72 GPIO pins, USB-C, and microSD support, making it great for compact Linux projects and hardware hacking.

Espressif’s ESP32-S31 is the first ESP32 to natively support Linux using RISC-V with proper privilege modes, plus SBC-style peripherals like camera interfaces and SD card slots. It still has limited memory and no GPU, but it runs Linux kernels 6.18 and 7.1 with working displays, blending SBC features with microcontroller efficiency.

By blending inputs from multiple sensors and running AI analysis, humanoid robots build a detailed, real-time picture of their environment that lets them navigate, handle objects, and safely work alongside humans.

This project uses motionEye on Raspberry Pi OS to create a cost-effective security camera network with standard Pi cameras, enabling motion-based recording and remote viewing. While the Pi handles multiple cameras, too many high-def streams can slow performance, so some tweaking is needed for the best results.

Using the UNO Q’s dual processors, Nuvi runs AI and voice functions on Linux while controlling servos and sensors in real time, creating a lively desktop companion under 30 cm tall.

The Neuro PlayGround Lite lets you wirelessly control home devices by learning IR remote commands and triggering them with blinks, muscle gestures, or eye signals, plus manual control via a web browser.

Measure DC voltages up to 25V with an Arduino and a voltage sensor, then display the readings live on a classic monochrome Nokia 5110 LCD using SPI communication.

Oscillators produce their own AC signals when the feedback loop meets two key conditions: unity loop gain and zero or 360-degree phase shift. The Barkhausen Criterion defines these rules, explaining how oscillations start, stabilise, or die out depending on the loop gain.

This project uses an Arduino Nano and an ultrasonic sensor to measure how close your vehicle is to obstacles while reversing. It sounds a buzzer and shows a STOP warning on a 7-segment display when you get within 100cm, helping you avoid bumps.

The Arduino UNO Q combines a Linux-powered MPU and an MCU to let you develop AI games via Summer Engine, export them to ARM64 format, and play them on the go with Modulino buttons, joystick, and a 5" touch display.