This project transforms the LILYGO T-Display-P4 development board into a multifunctional portable device capable of acting as a 1090 MHz ADS-B receiver and a Meshtastic-compatible mesh radio. By using an RTL-SDR USB dongle for RF reception and an onboard SX1262 LoRa radio, the system provides real-time aircraft tracking via a touchscreen interface and off-grid messaging capabilities. The device also features integrated MP3 playback, GPS time synchronization, and a companion web application called ADS-B Scope for live map viewing through WebSerial.
Main features include:
* Real-time ADS-B decoding and radar scope visualization with aircraft database enrichment.
* Meshtastic-compatible LoRa mesh networking with encrypted messaging and node discovery.
* Integrated MP3 music player with ID3 tag parsing and cover art display.
* Adaptive RTL-SDR gain control and USB hot-plug support.
* Comprehensive SD card logging for both ADS-B flight data and mesh messages.
* Dual-core ESP32-P4 architecture optimized via a 6-tier FreeRTOS priority scheme.
* WebSerial-based companion app for live mapping, firmware flashing, and file management.
Main features include:
* Real-time ADS-B decoding and radar scope visualization with aircraft database enrichment.
* Meshtastic-compatible LoRa mesh networking with encrypted messaging and node discovery.
* Integrated MP3 music player with ID3 tag parsing and cover art display.
* Adaptive RTL-SDR gain control and USB hot-plug support.
* Comprehensive SD card logging for both ADS-B flight data and mesh messages.
* Dual-core ESP32-P4 architecture optimized via a 6-tier FreeRTOS priority scheme.
* WebSerial-based companion app for live mapping, firmware flashing, and file management.
PycoClaw is an open-source platform for running AI agents on microcontrollers. It brings OpenClaw workspace-compatible intelligence to embedded devices costing under $5. Built on MicroPython, it supports multi-provider LLM routing, multi-channel chat, tool calling, extensions, over-the-air updates, and battery operation.
An exploration of using Claude Code to develop a Google Nest Hub-like device with an ESP32-P4, highlighting the challenges and limitations of AI-assisted development for niche hardware.
High-performance development board based on ESP32-P4 controller with RISC-V 32-bit dual-core and single-core processors, featuring 3.4inch/4inch round touch displays with 800x800/720x720 resolution, Wi-Fi 6/Bluetooth 5 (LE), onboard dual microphones, and support for AI voice interaction.
This article details the various ESP32 series (Classic, S2, S3, C2, C3, C5, C6, H2, H4, and P4), outlining their key features, differences in CPU architecture, wireless capabilities, memory size, and intended applications. It explains the naming conventions and provides a comprehensive overview to help users choose the right ESP32 for their projects.
| **ESP32 Series** | **Key Features** | **Primary Use Cases** |
|---|---|---|
| **ESP32 (Classic)** | Dual-core, Wi-Fi, Bluetooth, BLE, DAC | Smart home, audio streaming, versatile projects |
| **ESP32-S2** | Single-core, Wi-Fi, USB-OTG, larger ADC | USB gadgets, low-cost IoT, cameras |
| **ESP32-S3** | Dual-core, Wi-Fi, BLE, AI extensions | Performance-focused IoT, AI/ML applications |
| **ESP32-C2** | Single-core RISC-V, Wi-Fi, BLE, low cost | High-volume, low-traffic devices (bulbs, sensors) |
| **ESP32-C3** | Single-core RISC-V, Wi-Fi, BLE, affordable | Battery-powered sensors, basic Arduino replacement |
| **ESP32-C5/C6** | RISC-V, Wi-Fi (C5: Dual-band), BLE, Thread/Zigbee | Advanced connectivity, mesh networks |
| **ESP32-H2/H4** | No Wi-Fi, BLE, Thread/Zigbee, low power | Ultra-low power applications, mesh networks |
| **ESP32-P4** | Ethernet, Dual-core RISC-V, H.264 encoder | Video processing, HMIs, industrial applications |
| **ESP32 Series** | **Key Features** | **Primary Use Cases** |
|---|---|---|
| **ESP32 (Classic)** | Dual-core, Wi-Fi, Bluetooth, BLE, DAC | Smart home, audio streaming, versatile projects |
| **ESP32-S2** | Single-core, Wi-Fi, USB-OTG, larger ADC | USB gadgets, low-cost IoT, cameras |
| **ESP32-S3** | Dual-core, Wi-Fi, BLE, AI extensions | Performance-focused IoT, AI/ML applications |
| **ESP32-C2** | Single-core RISC-V, Wi-Fi, BLE, low cost | High-volume, low-traffic devices (bulbs, sensors) |
| **ESP32-C3** | Single-core RISC-V, Wi-Fi, BLE, affordable | Battery-powered sensors, basic Arduino replacement |
| **ESP32-C5/C6** | RISC-V, Wi-Fi (C5: Dual-band), BLE, Thread/Zigbee | Advanced connectivity, mesh networks |
| **ESP32-H2/H4** | No Wi-Fi, BLE, Thread/Zigbee, low power | Ultra-low power applications, mesh networks |
| **ESP32-P4** | Ethernet, Dual-core RISC-V, H.264 encoder | Video processing, HMIs, industrial applications |
StickiNote is a digital sticky note app designed for ESP32-P4-based embedded systems. It leverages the fast clock speed of the ESP32-P4 and MIPI DSI interface for a 10-inch display, ensuring smooth animations, fluid UI interactions, and an optimal user experience.
Eric's StickiNote app utilizes the ESP32-P4 microcontroller to create a digital post-it note system for smart displays. It runs smoothly on affordable hardware and serves as a central household device for leaving notes and reminders.
