Tom Nardi writes that Mateusz Juszczyk has created a desktop gadget called ESP32-Plane-Radar, which uses an ESP32-C3 Super Mini and a round GC9A01 display to visualize aircraft movement. Rather than using actual radar hardware, the device connects via WiFi to adsb.fi to pull crowdsourced Automatic Dependent Surveillance–Broadcast (ADS-B) flight data, creating a professional-looking circular radar display that reflects real-world local airspace activity.
- The project features a minimalistic 3D printed enclosure for its components.
- A web-based configuration interface is included for easier setup via WiFi.
- Despite the name, it does not sniff ADS-B signals directly from radio waves but uses internet data instead.
- The project features a minimalistic 3D printed enclosure for its components.
- A web-based configuration interface is included for easier setup via WiFi.
- Despite the name, it does not sniff ADS-B signals directly from radio waves but uses internet data instead.
socquique writes of Capsule Radar, a live ADS-B aircraft radar designed for the Waveshare ESP32-S3-Touch-AMOLED series (1.75 and 1.43 inch round displays). The software pulls real-time flight data via WiFi to plot nearby aircraft on various visual themes like Phosphor or Orb, offering touch interaction for detailed flight information such as routes and altitude.
- Supports browser-based flashing via ESP Web Tools
- Includes a native SDL2 desktop simulator for testing without hardware
- Features automated route lookups using adsbdb
- Provides "face-down" sleep mode triggered by the onboard IMU
- Compatible with Waveshare's 1.75 and 1.43 AMOLED boards
- Supports browser-based flashing via ESP Web Tools
- Includes a native SDL2 desktop simulator for testing without hardware
- Features automated route lookups using adsbdb
- Provides "face-down" sleep mode triggered by the onboard IMU
- Compatible with Waveshare's 1.75 and 1.43 AMOLED boards
Tyler August writes that the Cheap Yellow Display (CYD) ESP32 dev boards can be transformed into a Portable Digital Assistant, reminiscent of 1990s Palm devices. Rather than using an emulator, user sau412 developed custom firmware for the CYD that includes features like a Gopher browser, RSS and Wikipedia readers, various games, a BASIC interpreter, a calendar, calculator, contact list, ebook reader, and translator.
- The project can be set up in approximately five minutes using a web-based flasher.
- An SD card is required to test all the available applications.
- This project provides an alternative for those looking for Palm OS-style functionality on modern hardware without needing x86 or ARM emulators like Pumpkin OS.
- The project can be set up in approximately five minutes using a web-based flasher.
- An SD card is required to test all the available applications.
- This project provides an alternative for those looking for Palm OS-style functionality on modern hardware without needing x86 or ARM emulators like Pumpkin OS.
bebechien writes about DinoDesk AI, a LEGO dino desk companion built on a Raspberry Pi that pairs a local Gemma 4 model (via LM Studio) with cloud Gemini Flash through a unified OpenAI-compatible gateway, giving users a camera-free, privacy-first chat robot with three switching modes (local, cloud, and auto-hybrid routing). The physical body uses LEGO Technic lever mechanisms for neck and tail movement, a Pimoroni Pirate Audio shield for the 1.3" LCD eyes and 8-bit I2S beeps, and a 5-state finite state machine to coordinate expressions, sound, and motor action across Sleeping, Idle, Listening, Thinking, and Speaking states.
- Auto-hybrid mode uses a complexity classifier that detects multi-step reasoning keywords like "explain," "compare," and "write code" to transparently escalate prompts to the cloud engine
- The project is open-sourced at github.com/google-gemma/dinodesk-ai-companion
- Full voice chat is still a work in progress; current interaction is triggered by a physical red push button
- A commenter noted that absence of a camera does not guarantee voice data stays local, and suggested an explicit retention boundary for audio transcripts would strengthen the privacy claim
- Auto-hybrid mode uses a complexity classifier that detects multi-step reasoning keywords like "explain," "compare," and "write code" to transparently escalate prompts to the cloud engine
- The project is open-sourced at github.com/google-gemma/dinodesk-ai-companion
- Full voice chat is still a work in progress; current interaction is triggered by a physical red push button
- A commenter noted that absence of a camera does not guarantee voice data stays local, and suggested an explicit retention boundary for audio transcripts would strengthen the privacy claim
mogenson wrote a Rust application that lets a Flipper Zero write to a Waveshare e-Paper Tag over NFC, effectively turning the passive paper tag into a programmable display.
Harry Fairhead writes that Zephyr has reached version 1.0 as Arduino's official operating system, a move necessitated by Arm's abandonment of the mbed OS. The Core-Zephyr release supports a range of newer Arduino boards but leaves classic AVR boards, SAMD/SAM boards, Pi Pico, and ESP32 boards on their existing systems, creating a fragmented software landscape. Fairhead notes that Zephyr remains largely invisible to beginners, serving as a background layer that simply enables the traditional Core functions to run.
- The shift was forced by Arm discontinuing mbed, which Fairhead characterizes as typical of chip makers who prioritize hardware over software support.
- Core-Zephyr supports 10 specific boards including the UNO Q, Portenta H7, and Nicla Vision, but not the ESP32 range (which uses Free RTOS) or classic AVR boards.
- Fairhead suggests Arduino could expand Core functions to expose OS-level facilities like multitasking, particularly on boards with IoT coprocessors.
- The shift was forced by Arm discontinuing mbed, which Fairhead characterizes as typical of chip makers who prioritize hardware over software support.
- Core-Zephyr supports 10 specific boards including the UNO Q, Portenta H7, and Nicla Vision, but not the ESP32 range (which uses Free RTOS) or classic AVR boards.
- Fairhead suggests Arduino could expand Core functions to expose OS-level facilities like multitasking, particularly on boards with IoT coprocessors.
This guide provides instructions for setting up the reTerminal Sticky, a magnetic ePaper display device designed for calm information display. Users can power on the device, connect it to 2.4GHz Wi-Fi via the Seeedash App, and begin using features like AI voice input for quick note creation.
- The device includes an integrated touchscreen, physical page buttons, and a dedicated AI voice button.
- It supports mounting on non-metal surfaces using the included adhesive magnetic ring.
- Users can customize display fonts by adding .ttf or .otf files via a microSD card in a specific folder structure.
- The Seeedash App allows for remote management of device settings, Wi-Fi configuration, and content syncing like photos and weather updates.
- The device includes an integrated touchscreen, physical page buttons, and a dedicated AI voice button.
- It supports mounting on non-metal surfaces using the included adhesive magnetic ring.
- Users can customize display fonts by adding .ttf or .otf files via a microSD card in a specific folder structure.
- The Seeedash App allows for remote management of device settings, Wi-Fi configuration, and content syncing like photos and weather updates.
This repository features a generative AI image generator designed to run on the RP2350 microcontroller (Raspberry Pi Pico 2). The model uses a latent flow diffusion transformer (DiT) architecture, similar to Flux, but scaled down significantly with only 1.7 or 2.9 million parameters—thousands of times smaller than typical local diffusion models. It can generate $128 times 128$ RGB images of human faces in approximately 5-20 seconds and supports conditional generation for five classes based on gender, smile, and neutral expressions.
- The model architecture includes a VAE decoder and a DiT component.
- Hardware output can be displayed via a VGA monitor or streamed over USB.
- Includes an int8 pipeline involving calibration, distillation-QAT (Quantization-Aware Training), and folding.
- Two variants are provided: a high-quality flagship model and a faster build version.
- The model architecture includes a VAE decoder and a DiT component.
- Hardware output can be displayed via a VGA monitor or streamed over USB.
- Includes an int8 pipeline involving calibration, distillation-QAT (Quantization-Aware Training), and folding.
- Two variants are provided: a high-quality flagship model and a faster build version.
Ashwini Sinha explains how ESP-Claw turns an ESP32 into a self-programming agent through natural language instructions. By integrating LLMs, the system can automatically generate code and flash firmware to perform tasks such as managing sensor data or controlling peripherals without manual coding. This setup effectively transforms conventional microcontrollers into intelligent embedded systems capable of autonomous updates and performance optimization.
- Minimum hardware requirements include 8 MB PSRAM and 8 MB Flash memory on the ESP chip.
- The agent can access information via web search capabilities to answer specific queries.
- Setup requires a USB-C cable for initial firmware flashing and programming.
- Minimum hardware requirements include 8 MB PSRAM and 8 MB Flash memory on the ESP chip.
- The agent can access information via web search capabilities to answer specific queries.
- Setup requires a USB-C cable for initial firmware flashing and programming.
Debashis Das writes that the ZecTrix Note 4 is an ESP32-S3 based smart note featuring a 4.2-inch e-paper display and integrated voice capabilities for managing reminders, weather, and schedules. The device offers both monochrome and four-color variants (Note 4C) and includes built-in hardware such as a microphone, speaker, NFC, and a rechargeable battery.
- Uses Espressif ESP32-S3 SoC with vector extensions for machine learning workloads.
- Features community firmware options like Slate or TransitInk OS to repurpose the device.
- The Note 4C four-color variant is notably cheaper than the monochrome version on the manufacturer's website.
- Uses Espressif ESP32-S3 SoC with vector extensions for machine learning workloads.
- Features community firmware options like Slate or TransitInk OS to repurpose the device.
- The Note 4C four-color variant is notably cheaper than the monochrome version on the manufacturer's website.
