DIY Projects

If you are interested in building vehicles either land-based or airborne using a Raspberry Pi you might be interested in a new article by Bryan Cockfield over on the Hackaday website explaining more about a UAV flight controller specifically designed to be powered by the Compute Module 4.

The Pi CM 4 is a compact, highly integrated system-on-module (SoM) developed by the Raspberry Pi Foundation. It is designed for embedded applications that require a powerful and flexible computing platform in a small form factor. The Compute Module 4 builds upon the success of previous Compute Modules, offering improved performance and expanded features.

The CM4 module itself is a small board measuring 55mm x 40mm, which contains the main components of a computer system, including the processor, memory, and storage. It is intended to be used as a building block for creating custom devices or integrating into existing products.

The Compute Module 4 is primarily targeted at industrial applications, IoT devices, robotics, automation, and other projects that require reliable and powerful embedded computing capabilities. It provides a cost-effective solution for developers to create customized products based on the Raspberry Pi ecosystem while leveraging the extensive software and hardware support available for Raspberry Pi devices.

Key features of the Compute Module 4 include:

• SoC: Broadcom BCM2711C0 quad-core ARM Cortex-A72 (ARMv8-A) 64-bit @ 1.5GHz
• GPU: Broadcom VideoCore VI
• RAM: 1GB, 2GB, 4GB, or 8GB LPDDR4 SDRAM
• Networking: Optional 2.4 GHz and 5 GHz 802.11b/g/n/ac Wi-Fi, Gigabit Ethernet PHY
• Bluetooth: Optional Bluetooth 5.0 and Bluetooth Low Energy (BLE)
• GPIO: Carrier board dependent
• Interfaces: PCI Express, 2× DSI, 2× CSI, 2× HDMI
• Storage: External (CM4 Lite); on-board 8GB/16GB/32GB eMMC (CM4)
• Ports: Hirose U.FL antenna connector, 2× 100-pin high-density connectors
• Dimensions: 55 mm × 40 mm × 4.5mm, 12g (exc. carrier board)

Raspberry Pi UAV flight controller

“The advantage of this board compared to other similar offerings is that it is built to host a Raspberry Pi Compute Module 4, while the rest of the flight controllers are separated out onto a single circuit board. This means that the Pi is completely sandboxed from the flight control code, freeing up computing power on the Pi and allowing it to run a UAV-specific OS like OpenHD or RubyFPV.

These have a number of valuable tools available for unmanned flight, such as setting up a long range telemetry and camera links. The system itself supports dual HD camera input as well as additional support for other USB devices, and also includes an electronic speed controller mezzanine which has support for quadcopters and fixed wing crafts.”

Read the full article over on the Hackaday website by following the link below

Source : Hackaday

Filed Under: DIY Projects, Top News

Latest Geeky Gadgets Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.

If you are interested in loading the Casa OS open-source and free operating system onto your Raspberry Pi mini PC will be pleased to know to new tutorial has been published to the Hackster.io website this month. Taking you through the process on a Raspberry Pi 4 Model B. For those of you unfamiliar with Casa OS it is a simple, easy-to-use, elegant open-source home cloud system that allows you to run self-hosted apps on your Raspberry Pi or other Linux devices.

Casa OS allows you to manage your files, share them across the network, protect your privacy data, and freely add disks and expansion spaces. Casa OS also has an app store with over 20 pre-installed docker based apps and 50+ community-verified apps. (But it must be noted that some applications also provide value-added services which may incur a fee).

Project CasaOS started as a community-based open-source project which committed to democratizing data and giving service control back to your hands. Hence they will do our best to protect your data privacy says its website.

Install Casa OS

If the some reason you have installed CasaOS on Raspberry Pi OS and it works fine, but when you try to switch the system to USB to boot, the system fails to boot. The developing team at Casa OS have included a specially designed switch to solve the problem. “When the Raspberry Pi OS is installed with CasaOS, please turn off the Automount USB Drive function in the system settings panel, and then perform the transfer operation.”

“Project CasaOS started as a community-based open-source project focused on delivering a simple home cloud experience around the Docker ecosystem. CasaOS aims to redefine the private cloud digital experience for creators and developers through data democratization and enabling everyone to take that goal to a new scale.”

Source : CasaOS : Hackster.io website

Filed Under: DIY Projects, Top News

Latest Geeky Gadgets Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.

A new mini PC has launched via the Crowd Supply website this month the form of the HealthyPi 5. Offering an open-source, biosignals-acquisition device that combines the power of a Raspberry Pi Pico with the simplicity of an Arduino. Out of the box, it can handle electrocardiogram (ECG), respiration, photoplethysmography (PPG), oxygen saturation (SpO₂), and body-temperature data. And it’s easy to upgrade as well! Using the Qwiic connectors on the Carrier board, you can leverage external sensor modules to capture and analyze additional biosignals, such as galvanic skin response (GSR), electroencephalogram (EEG), and electromyogram (EMG) data.

HealthyPi 5 has a Raspberry Pi RP2040 dual-core, Cortex M0+ microcontroller at its core, supported by an ESP32 C3 RISC-V microcontroller that handles the wireless protocol stacks. The RP2040 is the first microcontroller built on the new Raspberry Pi silicon. It is a powerful, low-power microcontroller that can handle complex computing tasks, while the ESP32 C3 is a low-cost, low-power, RISC-V microcontroller perfect for managing Bluetooth and Wi-Fi.

The HealthyPi 5 is equipped with an innovative, dual-microcontroller configuration—including both a dual-core, 32-bit, Cortex-M0+ RP2040 and an ESP32 C3 RISC-V module—HealthyPi 5 is suitable for a wide range of deployments, including machine learning applications that target physiological signals. And, with both Wi-Fi and BLE connectivity, it is easy to connect your application to other devices and to the Internet.”

HealthyPi 5 features

– Pocket sized but powerful enough for complex signal-processing and analysis tasks typically handled by devices ten times the size and cost
– Built-in storage and onboard computational power for data processing and analysis support standalone edge-computing applications
– Simplified application development thanks to software was written with the Arduino IDE, hardware that is MicroPython compatible, and a simple, drag-and-drop interface that allows you to upload your code over USB or through a wireless over-the-air (OTA) connection
– Expandable through standard, Qwiic-compatible ports that support external sensors and modules
– Support for open-data formats, Lab Streaming Layer (LSL) compatibility for real-time synchronization, and interoperability with existing research platforms all facilitate collaboration and data sharing.
– Open hardware and open-source software allow you to customize your applications without paying for expensive, proprietary client software.
– Unlike previous generations of HealthyPi, our fifth edition is a complete system that can be used as a standalone device without the need for a Raspberry Pi or other host computer. This makes it ideal for remote areas and developing countries where a host computer may not be available.

For more information on the HealthyPi 5 jump over to the official product page on the Crowd Supply website by following the link below.

Source : Crowd Supply

Filed Under: DIY Projects, Top News

Latest Geeky Gadgets Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn more.

The official Arduino developing team has this week announced new additions to its excellent Arduino IoT Cloud with the addition of new Value Selector and Value Dropdown Widgets. The Arduino Cloud has been specifically created to provide developers, enthusiasts and hobbyists and all-in-one platform that streamlines the development, deployment, and management of Internet of Things devices, projects and applications.

The Arduino IoT Cloud platform supports various hardware, such as Arduino boards, ESP32, and ESP8266-based boards, which makes it easy for makers of any skill to build connected projects with ease.

The new Value Selector and Value Dropdown Widgets simplify the task of creating a map between variable values and their real-world representations, providing users with greater flexibility and ease of use. With them, you can decouple the internal values of the variables in the sketch from the representation on the dashboard. This simplifies the code and prevents developers from updating the code if a change on the visible value is needed.

Arduino IoT Cloud

What makes Arduino Cloud stand out is its user-friendly and intuitive interface. This simplifies complex tasks and ensures that even those with little coding experience can use the platform. Moreover, the platform offers a low-code approach and a comprehensive catalogue of templates and examples that enable users to get started quickly.”

The IoT Cloud application of the Arduino Cloud platform allows easy management and monitoring of connected devices via customizable dashboards. This feature provides real-time data visualizations of the device’s data, making it easy for users to monitor and keep track of their devices. Plus, with the mobile app Arduino IoT Cloud Remote — available for Android and iOS — users can manage their devices remotely from anywhere.”

“The Arduino Cloud platform also offers a range of widgets, including switches, buttons, color selectors, status, gauges, maps, and a chart widget that allows users to plot the temporal evolution of one variable of one device. This rich palette of widgets makes it easy for users to build dashboards that suit their needs.”

For more information about the new Arduino Dropdown Widgets jump over to the official Arduino blog by following the link below.

Source : AB

Filed Under: DIY Projects, Top News

Latest Geeky Gadgets Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn more.

If you would like to learn more about using the Raspberry Pi for DIY home automation projects it might be worth your while picking up the latest official MagPi magazine created by the team at Raspberry Pi. Issue 129 is now available and provides plenty of projects, tips and hints on how to create your very own home automation using the awesome Pi mini PC. “Install a home assistant, set up smart sensors and even create a fully-automated garage door. If your home is already perfect, consider giving your body a boost with our Get Fit with Raspberry Pi. Plus! We’ve got 40 pages of projects and tutorials covering everything from ChatGPT to DOOM-playing LEGO bricks!”

Learn home automation

“Revolutionise your living space with Raspberry Pi home automation! With Home Assistant, a flexible and independent open-source operating system, you can create custom automations for energy efficiency and security. The system can be set up on a Raspberry Pi 3 or 4 with a wired Ethernet connection, and once installed, it can be controlled via any web browser. Follow the simple steps to set up your server and get started on your automation journey. With Home Assistant, you’ll have a digital butler to help you connect devices and design custom dashboards for an unbeatable smart home experience.”

“Learn about the range of Raspberry Pi cameras and their features in this tutorial by David Plowman, a Raspberry Pi engineer specializing in camera software and hardware. From the original camera to the latest Camera Module 3, discover how to set up and test each camera with Raspberry Pi. Whether you’re a beginner or an advanced user, this series of tutorials will take you through everything you need to know about Raspberry Pi cameras.”

Source : RPi

Filed Under: DIY Projects, Top News

Latest Geeky Gadgets Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn more.

If you are searching for a new project to keep you busy for the next couple of weekends you might be interested in this hexapod robot project powered by an Arduino Mega 2560 development board. Check out the video below to learn more about how the hexapod robot was built from scratch by the Aecert Robotics YouTube channel host over three months.

The official Ardunio blog writes :

“As you can see in the detailed video, this robot is quite agile. If you watch carefully, you can see that three legs lift and three legs remain in contact with the ground for each step. That keeps the robot very stable, as it can balance easily on the tripod formed by the three legs touching the ground. Each leg has three joints: a “hip” joint that pivots the leg horizontally, a “knee” joint that pivots vertically, and an “ankle” joint that also pivots vertically. Servo motors directly actuate all of those joints, meaning there are 18 servos in total.”

“While robots can get around on two legs (or even none), it is difficult to get a smooth and efficient gait. Moving up to four legs improves the situation a bit, but each of those legs will still need multiple joints and careful balance for the robot to move in a stable manner. Once you increase the leg count to six, you can achieve some very good gaits, which is why hexapod robots are so popular. To experiment with six legs, Aecert Robotics built this nimble DIY hexapod robot from scratch.”

Hexapod robot

“I designed, built, and programmed an Arduino powered hexapod from scratch over the last 3 months, and this video takes you through that journey! For being my first robotics project in like 8 years, I think this turned out quite well 🙂 But there is still so much more to do. More gaits, better wire management, updated controller, additional sensors, and the release of the kit/course to name a few. “

Source : AB

Filed Under: DIY Projects, Top News

Latest Geeky Gadgets Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn more.

If you would like to learn more about artificial intelligence and Large Language Models you will be pleased to know that NVIDIA is offering the chance to receive a free guide to Large Language Models. Providing a comprehensive background on what LLMs are, how they work, and how to evaluate them, paired with use case examples and real-world case studies on the impact LLMs have had for the enterprise.

If you are not familiar with Large Language Models, LLMs are a type of artificial intelligence model designed to understand, generate, and manipulate human-like text. They are built on deep learning architectures, typically using transformers, and trained on massive amounts of textual data.

“Dive into the LLM applications that are driving the most transformation for enterprises. Examine real-world case studies of companies that adopted LLM-based applications and analyze the impact it had on their business.”

Guide to AI and Large Language Models

These models are capable of tasks such as text summarization, translation, question-answering, and conversation, among others. Some well-known LLMs include OpenAI’s GPT (Generative Pre-trained Transformer) series, with GPT-3 being a prominent example, and Google’s BERT (Bidirectional Encoder Representations from Transformers).

“Learn about the evolution of LLMs, the role of foundation models, and how the underlying technologies have come together to unlock the power of LLMs for the enterprise. Learn the steps to take when building LLMs and how to evaluate whether an LLM is well-suited for your intended use cases.”

For more information and to receive your guide jump over to the official NVIDIA website by following the link below to register your details and download the Enterprise Guide to Large Language Models

Source : NVIDIA

Filed Under: DIY Projects, Top News

Latest Geeky Gadgets Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn more.

If you are interested in building your very own bartesian cocktail machine that can automatically mix and create your perfect cocktail every time you might be interested in a new project published to the Hackster.io website this week for the Apple named CocktailMaker created by member “alex9849”.

Using a Raspberry Pi Model B the cocktail making machine has an easy-to-use web interface. New recipes can be created in the UI, and the user can add ingredients to different production steps. Ingredients that are in the same production step get bottled at the same time. The order in which ingredients get bottled can be changed via drag and drop.

“The ‚Cocktail-Maker‘ is not only a piece of software; it is a cocktail mixing machine that works with a Raspberry-Pi to control multiple pumps that have different ingredients assigned to them. The Cocktail-Maker provides a UI that can be accessed via a web browser. Admins can create other users and assign them to multiple roles with different permissions. Users can create their own cocktails, and if the Cocktail-Maker has all the needed ingredients, they can order them. Cocktails can be categorized and shared with other users.”

Bartesian cocktail machine

“The controlling software is designed to enhance your cocktail-making experience like never before. With its advanced features, you can easily create and customize your favorite cocktails with just a few clicks.”

Source : Hackster.io

Filed Under: DIY Projects, Top News

Latest Geeky Gadgets Deals

Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn more.