
Welcome to the latest edition of the VoltJots newsletter, linking you to the very best electronics and IoT news, products, and projects.
Hope you enjoy! Until next week,
VoltJots
With WireClaw, you chat via Telegram to command an ESP32’s GPIO, sensors, and automation rules, no firmware coding needed after setup. It extends the OpenClaw AI framework from computers to microcontrollers for real-world control.
By using ESP-NOW, a native ESP32 protocol, three ESP32 boards sync directly to run a multi-node simulation of the three-body problem, demonstrating wireless peer-to-peer communication beyond typical Wi-Fi setups.
A new breakthrough from NTU Singapore produces solar cells 50 times thinner than usual, enabling near-invisible, efficient solar power layers that could turn buildings and wearables into discreet energy harvesters.
This guide walks you through installing the SH-C30L adapter’s drivers, hooking it up to an Arduino UNO via the MCP2515 CAN module, and verifying communication using Cangaroo software.
Using ESP-IDF, the ESP32 hosts a simple HTML page on your local network that’s locked behind basic HTTP authentication, so only users with the right username and password can see it.
ESP‑Claw brings a Chat‑as‑Coding approach to IoT with Espressif’s Edge Agent Framework. Flash it to the FireBeetle ESP32 P4, set up IO pins, run an LED blink demo, and schedule tasks to get your interactive IoT environment running.
By pairing an ESP32 with a Si5351 oscillator, you can wirelessly adjust your radio’s frequency using just your smartphone, avoiding complicated or expensive controls.
This project shows how to make your ESP32-CAM take pictures on demand, save them directly to a microSD card, and stay in deep sleep to conserve energy.
This project combines a TDS sensor, a waterproof DS18B20 temperature sensor, and an ESP32 to measure water quality factors like TDS, electrical conductivity, and temperature. The info displays on a compact OLED and streams to Arduino IoT Cloud for visual analysis.
This portable tool uses differential magnetic sensing between two analogue sensors and an Arduino Nano to create a live magnetic anomaly heat map displayed on an ESP32 touchscreen, complete with battery power and SD card storage for field use.
This project combines an ESP32-CAM and Edge AI to identify food items in your fridge, track them in a simple inventory on a TFT screen, and predict when they’ll spoil using category-based freshness data.
The ESP32 collects acceleration, angular velocity, and compass data from MPU6050 and LIS3MDL sensors to analyse driving behaviour like sharp turns and rapid stops. It displays motion stats on an OLED and offers Wi-Fi access plus downloadable data logs.
By hooking a USB camera to the Arduino UNO Q, the BirdFeedR detects birds and opens the seed dispenser with a servo, preventing squirrels and chipmunks from stealing food. The UNO Q’s dual-brain system and App Lab environment make it simple to build and run.
Two bipolar transistors, one NPN and one PNP, with nearly identical characteristics work as a complementary pair to handle opposite halves of signals. This symmetry is key for linear amplification and effective switching in various electronic designs.
A flexible skin patch called IREM-W2MS3 measures stress, glucose, and other biomarkers in sweat without a battery, using wireless power from a smartphone to keep working accurately for weeks.

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