Raspberry Pi

In this guest post, Ultralytics, creators of the popular YOLO family of convolutional neural networks, share their insights on deploying and running their powerful AI models on Raspberry Pi devices, offering solutions for a wide range of real-world problems.

What’s the holiday on everyone’s mind today? That’s right, it’s time for the Raspberry Pi Christmas shopping guide! Here’s a handy list of gift ideas for your favourite maker, tinkerer, and/or nerd. Prices start from just $3!

Introducing the Future Mobile Robot Controller! The new robot control system takes a modular approach to best support both the FIRST Tech Challenge and FIRST Robotics Competition, minimising cost and complexity for each program. The system incorporates advanced vision processing and emerging technologies like Artificial Intelligence and Machine Learning, while also addressing the immediate needs of teams today. The core portions of the robot controller are being developed through a collaboration with Raspberry Pi and Limelight Vision along with significant contributions from other supporters including WPI, REV Robotics, and Google. https://lnkd.in/exdipJER

Bring the power of Raspberry Pi's Compute Module 5 to your industrial applications. 🚀 Working closely with Raspberry Pi, we've developed the #RevPi Connect 5 with up to 3 times the #performance of its predecessor. Discover the most powerful Industrial #RaspberryPi on the market – engineered and manufactured in Germany: 📈 CPU Significantly faster with quad-core Arm Cortex-A76 processor - 2.4 GHz 📈 RAM 5 times faster data transfer rates with LPDDR4X-4267 RAM 📈 Video Performance 4K resolution at 60 fps thanks to VideoCore VII GPU – supporting OpenGL ES 3.1 and Vulkan 1.2 📈 Ethernet Ports Two Gigabit, low latency PCIe-based Ethernet ports Develop powerful industrial #IoT and #automation applications using your preferred tech stack 👩💻 – whether it is CODESYS, Node-RED, Docker, Grafana, or other software tools. Learn everything about the RevPi Connect 5 via the link in the comments. 👇 🔸 Since 2016, #RevolutionPi has been setting standards for Industrial Raspberry Pis. The RevPi Connect 5 continues this tradition of innovation. What would you like to know about our new model? Leave us a comment! 💬

Introducing Raspberry Pi Compute Module 5 — the new standard for embedded computing, on sale now from $45. The modular version of our flagship Raspberry Pi 5 offers an ideal form factor for your embedded applications, enabling you to leverage Raspberry Pi 5’s powerful hardware and optimised software stack in your own custom systems and products. Compute Module 5 features a quad-core Arm Cortex-A76 processor, dual 4Kp60 HDMI output, Gigabit Ethernet, optional fully-certified wireless module providing Wi-Fi and Bluetooth connectivity, and a variety of RAM and eMMC flash options. In comparison with its predecessor, Compute Module 5 offers additional I/O interfaces, allowing even more flexibility and providing a greater breadth of options for product and application design. https://lnkd.in/eus7vMXy

🚨 Raspberry Pi Pico 2 goes wireless 🚨 On sale now at just $7, Raspberry Pi Pico 2 W is the wireless-enabled variant of Pico 2. Built around our brand new RP2350 microcontroller and featuring the tried and tested wireless modem from the original Pico W, it’s the perfect centrepiece for your Internet of Things projects. 👉 https://lnkd.in/ekUmjNja

We are enormously proud to reveal The Official Raspberry Pi Camera Module Guide (2nd edition), which is out now. David Plowman, a Raspberry Pi engineer specialising in camera software, algorithms, and image-processing hardware, authored this official guide. This detailed book walks you through all the different types of Camera Module hardware, including Raspberry Pi Camera Module 3, High Quality Camera, Global Shutter Camera, and older models; discover how to attach them to Raspberry Pi and integrate vision technology with your projects. This edition also covers new code libraries, including the latest PiCamera2 Python library and rpicam command-line applications, as well as integration with the new Raspberry Pi AI Kit. 👉 https://lnkd.in/dyk4ADfV

Industrial-grade I/O modules powered by Raspberry Pi gather accurate data from temperature sensors. When upgrading their devices for high-precision temperature data acquisition from thermocouples and resistance thermometers, SENECA opted for Raspberry Pi’s RP2040 microcontroller chip, due to its low cost, ease of integration, and extensive supporting documentation. In industry, temperature is the most frequently measured physical variable. The detection of critical parameters, such as the speed and response time of a process, the consumption of raw materials, the requirements of a product, and the performance or quality of a process, depends on the accuracy and frequency with which temperature is measured. Temperature also affects many other factors, such as the efficiency and energy consumption of a process, resource optimisation, and plant and machinery lifecycle. Aiming to create two new, high-precision devices for temperature data acquisition, SENECA | Automation Interfaces wanted to upgrade the products in its catalogue with “more innovative and efficient technologies,” says Manuel Moschin, R&D / Software Development Manager. “We set out to make high-performance, cost-effective devices based on readily available microcontrollers, and with a rapid firmware upgrade system.” The use of Raspberry Pi RP2040 microcontroller chips has enabled SENECA to “incorporate a set of features that make it particularly advantageous for use in I/O modules, combining high performance, versatility, power efficiency, and excellent value for money.” Read more about this industrial application of Raspberry Pi: https://lnkd.in/dfmTqAYx

Ramona Zaharia Rayner from our partner Sony shows you how to quickly explore different models and AI capabilities, and how you can easily build applications on top of the Raspberry Pi AI Camera.

Just a few of the Raspberry Pi-powered products on display at SPS – Smart Production Solutions in Nuremberg last week. Drop us a comment if we missed anything. It was a huge event and excellent to see the Raspberry Pi logo on so many exhibition stands. Thanks to Paul Sherry for these photos.