Spectra is a JavaScript-based hackable smartwatch based on the ESP32-S3 WiFi and Bluetooth microcontroller that aims to offer the quality of high-end consumer smartwatches with the repairability of a maker-targeted device. The Spectra smartwatch combines the ESP32-S3 microcontroller with a Nordic Semi nRF52832 co-processor to optimize the battery life. The ESP32-S3 is maxed out with 8MB of RAM and 32MB of external flash memory, and the microSD card slot in the watch supports up to a 512GB memory card. It shares a similar concept with the Bangle.js and the Bangle.js 2 customizable smartwatches. According to the maker, Spectra is not bound to be fully open-source, since the project uses “external proprietary code [they] aren’t allowed to share.” They plan to publish Arduino libraries and hardware design files, but there is no live GitHub repository yet. Other hackable smartwatches include the TinyWatch S3, the ZSWatch, and the Sensor Watch Pro. Spectra […]
XIAO ESP32S3 for Meshtastic & LoRa devkit features Wio-SX1262 LoRa module
The “XIAO ESP32S3 for Meshtastic & LoRa” is an ESP32-S3 LoRa dev kit that combines an XIAO ESP32S3 board with the tiny Wio-SX1262 LoRa module connected through a board-to-board connector. This compact devkit supports LoRa (862-930MHz), Wi-Fi (2.4GHz), and Bluetooth 5.0 (BLE), with a 5km range for LoRa and a 100m+ range for Wi-Fi/BLE. The kit also has a USB Type-C interface, a built-in power management chip, and multiple I/O options such as IIC, UART, and GPIO. It supports external LoRa antennas and can be extended with XIAO expansion boards for more complex setups. These features make this device suitable for projects such as LoRaWAN gateways, IoT sensors, Meshtastic nodes or routers, and applications where space is limited. XIAO ESP32S3 for Meshtastic & LoRa specifications: SoC – Espressif Systems ESP32 with dual-core Xtensa LX7 microcontroller up to 240MHz Wireless Connectivity LoRaWAN via Semtech LX1262 Output Power – Up to +22 […]
Kumquat – An Allwinner V3s embedded system board with isolated CAN, Ethernet and ESP32 for WiFi and Bluetooth
The Kumquat is an Allwinner V3s board designed for industrial automation, home automation, IoT projects, robotics, and embedded system development. The Allwinner V3s features ARM Cortex-A7 cores with 64MB DDR2 RAM and 8MB SPI flash storage. Connectivity options include Ethernet, USB-C, isolated CAN-FD, and WiFi/Bluetooth via an ESP32 module. Additionally, it has eight auto-detecting 12/24V IOs, four relays for controlling external devices, and a real-time clock with battery backup. The Kumquat runs on Buildroot Linux with a mainline kernel and can be programmed with various programming languages making it a great alternative to traditional PLCs. Kumquat board specification SoC – Allwinner V3s CPU – ARM Cortex-A7 @ up to 1.2 GHz Memory – Integrated 64MB DDR2 DRAM clocked at 400MHz @ 1.5 V Video engine Storage 8MB SPI Flash for bootloader and user code I2C EEPROM for MAC addresses and user data SDIO Connector for eMMC or SD card Connectivity […]
The Things Indoor Gateway Pro: A Managed LoRaWAN Solution with ESP32 and Semtech SX1302
The Things Industries first introduced the Things Indoor Gateway, an affordable multi-channel LoRaWAN gateway designed for IoT networks in 2019. While low-cost single-channel gateways like Dragino OLG01, priced as low as $83.50, were available, they often struggled with connectivity in shared environments. The Things Indoor Gateway, priced around $111, offered a reliable solution for large-scale IoT deployments. Building on this success, the company has now launched the next-generation Things Indoor Gateway Pro. This managed LoRaWAN gateway is designed for seamless IoT network installation, featuring zero-touch provisioning, full cloud management, and flexible connectivity options including LTE, Ethernet, and Wi-Fi with automated failover. With advanced device management tools such as mTLS, FOTA, and secure boot, the Things Indoor Gateway Pro is a future-ready solution tailored for evolving IoT needs. Previously, we explored a variety of LoRaWAN gateways, including the AgroSense LoRaWAN for high-precision agriculture, the WisGate Soho Pro RAK7267 for greenhouse monitoring, […]
ESP32-C6 WiFi 6 and Bluetooth 5.0 USB-C development board integrates 1.47-inch TFT LCD Display
Waveshare has introduced the ESP32-C6-LCD-1.47 development board powered by an ESP32-C6 RISC-V microcontroller with WiFi 6 and Bluetooth 5 connectivity and equipped with a 1.47-inch display with a 172×320 resolution. With a 4MB flash, an RGB LED, and a microSD card slot for extra storage, this board is suitable for projects that need a compact display, low power consumption, and wireless connectivity such as AIoT applications and human-machine interfaces (HMI). Earlier this month, we covered the ESP32-S3 USB dongle, another development board from Waveshare designed for HMI applications with the same 1.47-inch display with a 172×320 resolution, but a USB Type-A port instead of the USB-C port found in the model covered today. In the past, we’ve written about other ESP32-based development boards for HMI applications, including the LILYGO T-HMI, ESP32-S3-Touch-LCD-4.3B, and Waveshare’s ESP32-S3 LCD Driver Board supporting both square and round displays. Feel free to check them out if […]
M5Stack ESP32-S3-Pico-based devkits: ATOMS3R with 0.85-inch color display, and ATOMS3R Cam with VGA camera
M5Stack ATOMS3R and ATOMS3R Cam are two tiny devkits based on ESP32-S3-Pico system-in-package and a similar design but the first one features a 0.85-inch color color IPS display, while the other is equipped with a GC0308 VGA camera. Both modules measure just 24x24mm with a thickness of around 13mm, integrate BMM150 and BMI270 motion sensors, offer GPIO expansion through female headers and a grove connector, and feature an infrared transmitter and a USB Type-C port for power and programming. Those are the second devkits based on the ESP32-S3-Pico SiP after we covered the tiny OMGS3 module earlier this week. M5Stack ATOMS3R with display ATOMS3R specifications: SiP – Espressif ESP32-S3-PICO-1-N8R8 SoC ESP32-S3 dual-core Tensilica LX7 up to 240 MHz with 512KB SRAM, 16 KB RTC SRAM Wireless – WiFi 4 and Bluetooth 5 LE + Mesh Memory – 8MB QSPI PSRAM Storage – 8MB QSPI flash Display – 0.85-inch color IPS screen […]
LiteWing DIY ESP32 drone costs about $12 to make
Circuit Digest’s LiteWing is a low-cost DIY drone controlled by an ESP32 module, based on a custom PCB and off-the-shelf parts that costs around 1000 Rupees to make, or $12 at today’s exchange rate. The DIY ESP32 drone was designed as a low-cost alternative to more expensive DIY drones that typically cost close to $70. The result is a WiFi drone that fits in the palm and controlled over WiFi using a smartphone. Interestingly it does not include any 3D printed parts as the PCB forms the chassis of the device. DIY ESP32 drone key features and components Wireless module – ESP32-WROOM-32 for WiFi control using a smartphone. Storage – MicroSD card slot Sensors – MPU6050 IMU for stability control. Propulsion 4x 720 coreless motors 2x 55mm propeller type A(CW) 2x 55mm propeller type B(CCW) USB – 1x USB-C port for charging and programming (via CP2102N) Power Management 1300mAh Li-Ion […]
The SenseCAP Watcher is a voice-controlled, physical AI agent for LLM-based space monitoring (Crowdfunding)
Seeed Studio has launched a Kickstarter campaign for the SenseCAP Watcher, a physical AI agent capable of monitoring a space and taking actions based on events within that area. Described as the “world’s first Physical LLM Agent for Smarter Spaces,” the SenseCAP Watcher leverages onboard and cloud-based technologies to “bridge the gap between digital intelligence and physical applications.” The SenseCAP Watcher is powered by an ESP32-S3 microcontroller coupled with a Himax WiseEye2 HX6538 chip (Cortex-M55 and Ethos-U55 microNPU) for image and vector data processing. It builds on the Grove Vision AI V2 module and comes in a form factor about one-third the size of an iPhone. Onboard features include a camera, touchscreen, microphone, and speaker, supporting voice command recognition and multimodal sensor expansion. It runs the SenseCraft software suite which integrates on-device tinyML models with powerful large language models, either running on a remote cloud server or a local computer […]