CrowPanel Advanced 10.1-inch HMI Display Overview
This AI terminal uses dual-core ESP32-P4 RISC-V and ESP32-C6 wireless architecture. It is designed for industrial automation and smart home control.
* Dual-core processor with AI acceleration and up to 32MB PSRAM
* 10.1-inch IPS capacitive touchscreen (1024x600)
* Wi-Fi 6, Bluetooth 5.3, and replaceable modules for Zigbee or LoRa
* Facial recognition via integrated camera interface
* Voice interaction with microphone array and dual speakers
* Compatible with Arduino IDE, ESP-IDF, and LVGL
This AI terminal uses dual-core ESP32-P4 RISC-V and ESP32-C6 wireless architecture. It is designed for industrial automation and smart home control.
* Dual-core processor with AI acceleration and up to 32MB PSRAM
* 10.1-inch IPS capacitive touchscreen (1024x600)
* Wi-Fi 6, Bluetooth 5.3, and replaceable modules for Zigbee or LoRa
* Facial recognition via integrated camera interface
* Voice interaction with microphone array and dual speakers
* Compatible with Arduino IDE, ESP-IDF, and LVGL
ESP-Claw is an AI agent framework by Espressif that enables ESP32 series chips to function as active decision-making centers rather than passive executors. It implements a full intelligence loop involving sensing, reasoning, and execution locally on edge hardware. Through conversational programming via chat interfaces, users can define device behaviors using dynamic Lua loading without traditional coding expertise.
- Event-driven architecture with millisecond response times
- Structured memory management that prioritizes privacy by keeping data off the cloud
- MCP communication support allowing devices to act as both a client and a server
- Broad compatibility with various LLM APIs including OpenAI, Anthropic, Qwen, and DeepSeek
- Support for multiple development boards via web-based flashing or local builds
- Event-driven architecture with millisecond response times
- Structured memory management that prioritizes privacy by keeping data off the cloud
- MCP communication support allowing devices to act as both a client and a server
- Broad compatibility with various LLM APIs including OpenAI, Anthropic, Qwen, and DeepSeek
- Support for multiple development boards via web-based flashing or local builds
A wireless 24GHz mmWave motion tracking system consisting of a standalone radar node that reports detected targets over Wi-Fi to a separate display unit.
Key details:
- Multi-target tracking for up to 3 people within a 7m range
- Live radar-style visualization on an Arduino GIGA Display Shield
- Distance-reactive audio alerts via a passive piezo buzzer
- Battery-powered operation with USB-C recharging and LED level indicators
- Includes 3D-printable enclosure files and full firmware for the XIAO ESP32-S3 and GIGA R1
Key details:
- Multi-target tracking for up to 3 people within a 7m range
- Live radar-style visualization on an Arduino GIGA Display Shield
- Distance-reactive audio alerts via a passive piezo buzzer
- Battery-powered operation with USB-C recharging and LED level indicators
- Includes 3D-printable enclosure files and full firmware for the XIAO ESP32-S3 and GIGA R1
This project is an ESP32-based ADSB tracker that provides a real-time flight radar display similar to FlightRadar24 on a small round TFT screen. It displays aircraft positions, trails, and local airport markers using data from sources like ADSB.lol or OpenSky. The system includes advanced visual features such as auto zoom cycling, decorative day/night sky layers with sun and moon calculations based on solar math, and optional GPS support for localized tracking.
- ESP32 DevKit V1 compatibility with Waveshare 1.28 inch GC9A01 round TFT display
- WiFiManager integration for easy network configuration
- Real-time aircraft trails and deconfliction to reduce visual clutter near airports
- Dynamic zoom cycling from 25 km to 250 km range
- Local solar math for sun position and moon phase rendering
- Optional TinyGPSPlus support for live location coordinates
- ESP32 DevKit V1 compatibility with Waveshare 1.28 inch GC9A01 round TFT display
- WiFiManager integration for easy network configuration
- Real-time aircraft trails and deconfliction to reduce visual clutter near airports
- Dynamic zoom cycling from 25 km to 250 km range
- Local solar math for sun position and moon phase rendering
- Optional TinyGPSPlus support for live location coordinates
An overview of ESPConnect, a free self-hosted web utility used to manage and flash ESP32 microcontrollers. The tool provides detailed hardware profiling for various MCU models, allows for advanced partition management, and enables flashing firmware or creating system backups through filesystem access. It also includes essential debugging features like an NVS Inspector and a Serial Monitor.
- Detailed hardware profile generation (MAC address, memory, clock speeds)
- Partition layout modification and flash backup capabilities
- File system support including SPIFFS, LittleFS, and FATFS
- Debugging via UART logs and session history tracking
- Easy deployment on Proxmox using LXC scripts
- Detailed hardware profile generation (MAC address, memory, clock speeds)
- Partition layout modification and flash backup capabilities
- File system support including SPIFFS, LittleFS, and FATFS
- Debugging via UART logs and session history tracking
- Easy deployment on Proxmox using LXC scripts
Anthropic has released an open-source project called Claude Desktop Buddy that allows ESP32-S3 hardware to act as a physical companion for the Claude desktop application. By utilizing a new Bluetooth Low Energy (BLE) API, these small devices can provide real-time updates on AI agent activity and allow users to approve or deny permission requests directly through physical buttons.
Key features and details:
- Connects via BLE to macOS and Windows desktop apps for fast, local interaction
- Features Tamagotchi-style animations that reflect the AI's status, such as sleep, busy, or attention modes
- Supports custom character skins using user-provided GIF packs
- Optimized for ESP32-S3 boards like the M5StickC Plus and M5Stack Cardputer
- Developed using the Arduino framework and PlatformIO
Key features and details:
- Connects via BLE to macOS and Windows desktop apps for fast, local interaction
- Features Tamagotchi-style animations that reflect the AI's status, such as sleep, busy, or attention modes
- Supports custom character skins using user-provided GIF packs
- Optimized for ESP32-S3 boards like the M5StickC Plus and M5Stack Cardputer
- Developed using the Arduino framework and PlatformIO
Clawdmeter is a custom-built desk dashboard powered by the ESP32-S3 that provides real-time monitoring of Claude Code token usage. Utilizing a 2.16-inch AMOLED screen and Bluetooth LE connectivity, the device displays animated pixel art that reacts to usage rates and acts as a HID keyboard for quick command shortcuts via BLE.
This repository provides a reference and example implementation for using the Bluetooth Low Energy (BLE) API to connect Claude desktop applications with external hardware devices. It is designed for makers and developers who want to build interactive physical companions, such as desk pets, that respond to Claude sessions through permission prompts, message notifications, and status updates.
Key features and details include:
- Support for ESP32 microcontrollers using the Arduino framework.
- An example implementation of a "desk pet" on M5StickC Plus hardware.
- Capabilities for displaying ASCII animations or custom GIF character packs via BLE.
- A wire protocol based on Nordic UART Service UUIDs and JSON schemas.
- Hardware interaction states such as sleep, idle, busy, attention (for approvals), celebrate, dizzy, and heart.
Key features and details include:
- Support for ESP32 microcontrollers using the Arduino framework.
- An example implementation of a "desk pet" on M5StickC Plus hardware.
- Capabilities for displaying ASCII animations or custom GIF character packs via BLE.
- A wire protocol based on Nordic UART Service UUIDs and JSON schemas.
- Hardware interaction states such as sleep, idle, busy, attention (for approvals), celebrate, dizzy, and heart.
NocKinematics is a modern, modular, and lightweight C++ Inverse Kinematics library designed specifically for Arduino and ESP32 microcontrollers. It utilizes the FABRIK (Forward And Backward Reaching Inverse Kinematics) algorithm to provide fast, iterative computations that are more efficient than traditional Jacobian Matrix approaches. The library is optimized for memory-constrained systems like AVR and ESP8266 by using specialized dynamic memory allocation to prevent RAM fragmentation.
Key features and topics:
* N-Joint Support for arbitrary numbers of connected joints.
* Memory-optimized architecture avoiding heavy std::vector usage.
* Platform agnostic compatibility with Arduino Uno, Nano, Mega, ESP8266, and ESP32.
* Practical implementation examples ranging from basic logic verification to multi-DOF servo motor control.
* Support for complex mechanisms like snake or tentacle simulations via the MultiJointSnake example.
Key features and topics:
* N-Joint Support for arbitrary numbers of connected joints.
* Memory-optimized architecture avoiding heavy std::vector usage.
* Platform agnostic compatibility with Arduino Uno, Nano, Mega, ESP8266, and ESP32.
* Practical implementation examples ranging from basic logic verification to multi-DOF servo motor control.
* Support for complex mechanisms like snake or tentacle simulations via the MultiJointSnake example.
The author explores the potential of running an AI agent framework on low-cost hardware by testing MimiClaw, an OpenClaw-inspired assistant, on an ESP32-S3 microcontroller. Unlike traditional AI setups, MimiClaw operates without Node.js or Linux, requiring the user to flash custom firmware using the ESP-IDF framework. The setup integrates with Telegram for interaction and utilizes Anthropic and Tavily APIs for intelligence and web searching. Despite the technical hurdles of installation and potential API costs, the project successfully demonstrates a functional, sandboxed, and low-power personal assistant capable of persistent memory and routine tracking.
