GoogleFindMyTools locates ESP32-based Bluetooth trackers using Google Find My Device network

Google Find My Device ESP32

Leon Böttger’s GoogleFindMyTools is a re-implementation of Google’s Find My Device network. It works with Android devices and commercial trackers, but experimental support for ESP32-based trackers has recently been added.

The implementation features two components. First, the main.py Python script that will list and locate devices, and then the ESP32 firmware implemented in C with the ESP-IDF. The host computer will also need several Python libraries that can be installed with “pip install -r requirements.txt” and Google Chrome web browser.

This is the output of the Python script on my Ubuntu laptop:

Stackable HAT brings high-resolution 24-bit ADC to Raspberry Pi (Crowdfunding)

24 bit ADC 8 layer Stackable HAT on Raspberry Pi

Sequent Microsystems’ “Eight 24-bit ADC 8-layer Stackable HAT” is a Raspberry Pi expansion board designed for home automation projects. It is compatible with all Raspberry Pi models with a 40-pin GPIO header and features a stackable design that provides scalability for more complex setups. It includes eight independent 24-bit ADC channels, providing ultra-high resolution for measuring small analog signals accurately. It also features programmable gain amplifiers on each input channel for amplifying weak signals and optimizing the ADC’s input range. It is stackable up to eight layers, allowing for up to 64 differential analog inputs. It provides 4A continuous and 5A peak power to the Raspberry Pi via the GPIO header. It sends data via the I2C lines, leaving all other pins free for use. Also, it supports isolated RS485 communication for long-distance connectivity. The 8-layer Stackable HAT for Raspberry Pi is suitable for precision data acquisition applications, including industrial […]

Adafruit’s PioMatter library adds HUB75 RGB LED Matrix support to the Raspberry Pi 5

HUB75 RGB Matrix Raspberry Pi 5

The Raspberry Pi 5 brought a more powerful CPU and GPU and faster I/Os compared to the Raspberry Pi 4, as well as some incompatibilities. While the transition from a Raspberry Pi 4 to a Raspberry Pi 5 is usually painless for most applications, Adafruit notes that the ability to drive HUB75 RGB LED matrices was lost on the Raspberry Pi 5 which now relies on the Raspberry Pi RP1 peripheral control to drive GPIOs instead of the Broadcom processor directly controlling them. The company has now addressed that by using the PIO (Programmable I/O) block in the RP1 chip, yes that’s the same PIOs as found in the RP2040 or RP2350 microcontroller, to drive HUB75 RGB LED matrices from the Raspberry Pi 5, and their work can be found on the Adafruit-Blinka-Raspberry-Pi5-Piomatter repository on GitHub. The instructions to install the Adafruit Blinka Raspberry Pi 5 PioMatter library (or just […]

Roboreactor – A Web-based platform to design Raspberry Pi or Jetson-based robots from electronics to code and 3D files

Roboreactor Web based interface to design robots

Roboreactor is a web-based platform enabling engineers to build robotic and automation systems based on Raspberry Pi, NVIDIA Jetson, or other SBCs from a web browser including parts selection, code generation through visual programming, and generating URDF models from Onshape software. You can also create your robot with LLM if you wish. The first step is to create a project with your robot specifications and download and install the Genflow Mini image to your Raspberry Pi or NVIDIA Jetson SBC. Alternatively, you can install Gemini Mini middleware with a script on other SBCs, but we’re told the process takes up to 10 hours… At this point, you should be able to access data from sensors and other peripherals connected to your board, and you can also start working on the Python code using visual programming through the Roboreactor node generator without having to write code or understand low-level algorithms. Another […]

RootMaster is a Raspberry Pi Zero 2W-based hydroponic automation system with STM32G4 MCU, CAN Bus, sensors

RootMaster Hydroponics Controller

The RootMaster is a Raspberry Pi Zero 2W-based hydroponic automation system designed to precisely manage water and environmental conditions. The solution also integrates an STM32G4 microcontroller to handle real-time operations such as controlling pumps and peripherals, managing sensors, and processing data from external sensors like water level indicators. It also generates PWM signals to control the power of connected devices and handles communication with external modules through a CAN FD interface. While STM32 handles hardware-level tasks, the Raspberry Pi Zero 2W manages high-level control and user interaction. The RootMaster can be programmed with Python, C, C++, or other programming languages and is useful for applications like Hydroponics automation, water circulation, and environmental control. RootMaster specifications MCU – STMicro STM32G473 32-bit Arm Cortex-M4 microcontroller @ 170 MHz for real-time operations Main controller – Compatible with Raspberry Pi Zero 2 WH for GUI and other interfaces Sensors pH sensor for nutrient solution […]

Sipeed’s MaixCAM-Pro AI camera devkit adds 2.4-inch LCD, 1W speaker, PMOD interface on top of WiFi 6 and BLE 5.4

Sipeed MaixCAM Pro AI camera devkit

Sipeed has recently released the MaixCAM-Pro AI camera devkit built around the SOPHGO SG2002 RISC-V (and Arm, and 8051) SoC which also features a 1 TOPS NPU for AI tasks. The module includes a 2.4-inch color touchscreen and supports up to a 5MP camera module. Other features include WiFi 6, BLE 5.4, optional Ethernet, built-in audio capabilities, a PMOD interface, GPIOs, and more. Additionally, it features an IMU, RTC chip, and AXP2101 power management for enhanced performance. The module is designed for AI vision, IoT, multimedia, and real-time processing applications. Just a few months back, Sipeed introduced the MaixCAM AI camera devkit, which is also built around the SOPHGO SG2002 RISC-V SoC. The new module improves on the MaixCAM with a redesigned PCB, upgraded casing, and various new features including a 2.4-inch IPS touchscreen (640×480), a 1W speaker, expanded IO interfaces, a power button, and an illumination LED. It also […]

Mercury X1 wheeled humanoid robot combines NVIDIA Jetson Xavier NX AI controller and ESP32 motor control boards

Mercury X1 wheeled humanoid robot

Elephant Robotics Mercury X1 is a 1.2-meter high wheeled humanoid robot with two robotic arms using an NVIDIA Jetson Xavier NX as its main controller and ESP32 microcontrollers for motor control and suitable for research, education, service, entertainment, and remote operation. The robot offers 19 degrees of freedom, can lift payloads of up to 1kg, work up to 8 hours on a charge, and travel at up to 1.2m/s or about 4.3km/h. It’s based on the company’s Mercury B1 dual-arm robot and a high-performance mobile base. Mercury X1 specifications: Main controller – NVIDIA Jetson Xavier NX CPU – 6-core NVIDIA Carmel ARM v8.2 64-bit CPU with 6MB L2 + 4MB L3 caches GPU – 384-core NVIDIA Volta GPU with 48 Tensor Cores AI accelerators – 2x NVDLA deep learning accelerators delivering up to 21 TOPS at 15 Watts System Memory – 8 GB 128-bit LPDDR4x @ 51.2GB/s Storage – 16 […]

MentorPi is a ROS2-compatible, Raspberry Pi 5-based robot car with Mecanum or Ackermann chassis

Hiwonder MentorPi A1 and MentorPi M1 robot car

MentorPi is a ROS2-compatible robot car powered by the Raspberry Pi 5, designed for AI-driven robotics and Python programming. It offers two chassis options: MentorPi-M1, which features a Mecanum-wheel chassis, and MentorPi-A1, equipped with an Ackermann chassis. Both variants come with high-performance components such as closed-loop encoder motors, STL-19P TOF lidar, 3D depth cameras, and high-torque servos. These enable precise navigation, SLAM mapping, path planning, and dynamic obstacle avoidance, making MentorPi an ideal platform for robotics tasks. The system utilizes a dual-controller architecture to optimize performance. The Raspberry Pi 5 handles AI vision processing and strategic functions, while Hiwonder’s RRC Lite expansion board manages motion control and sensor data processing. This task distribution enhances efficiency in machine vision, AI-powered navigation, and robotic control, allowing MentorPi to tackle complex AI and vision-based applications with ease. MentorPi also supports advanced features like 3D visual mapping and YOLOv5-based object detection for recognizing road […]

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