Elecrow's 2nd Electronics Design Contest is Heating Up! Win $6,000 cash + Maker products + Official sponsorship! Share your designs today! [Learn More]
Unlike a few years ago, Artificial Intelligence and Machine Learning are no longer just for high-end servers and powerful GPUs. With the Raspberry Pi 5, you can dive into AI and ML right from your desk, no matter if you are a hobbyist, student, or developer who wants to experiment with smart applications affordably. Let’s dive into the details and explore how to get started with AI and ML on your Raspberry Pi 5!
Wildfires trigger electromagnetic warfare on LoRa networks: flames emit radio noise, ionized air distorts signals. Meshtastic nodes combat chaos via 915→902MHz frequency hopping, Nordic SoCs maintaining encryption, and smoke-scattering data. Proven by Manhattan's 5km mesh and California's 68% packet success, survival requires 200°C-proof enclosures, E-Ink displays resisting heat shutdowns, and backfires-turned-waveguides. When air becomes adversarial, innovation ignites.
Ever wanted your own AI chatbot project? Now you can build one! In this tutorial, we’ll use the CrowPanel ESP32-S3 Advanced HMI Display to create a voice-interaction chatbot that connects to Wi-Fi, communicates via WebSocket, records and plays voice, and even displays real-time statuses on the screen. Let’s bring your AI assistant to life!
If you've ever thought about having a home media center without spending hundreds of dollars on a high-end streaming box, the Raspberry Pi 5 is the ideal and one of the most affordable solutions. It is small and very powerful, which makes it a great choice for streaming movies, playing music, or even running retro games. So, let’s explain everything you need to set up a smooth and responsive media center using Raspberry Pi 5 – without overcomplicating things.
If you’ve already explored the All-in-One Starter Kit for Pico 2 RP2040, you know how exciting hands-on learning can be. Now, it’s time to take the next step into the world of Arduino! Just like the Pico kit, this All-in-One Starter Common Board Kit for Arduino removes the frustration of messy wiring and lets you dive straight into coding and creativity. With 15 built-in sensors, 21 tutorials, and endless project possibilities, you’ll be crafting interactive experiments in no time.
For those eager to explore the exciting world of smart hardware, the All-in-One Starter Kit for Pico 2 RP2350 is the perfect companion. Designed for beginners and enthusiasts alike, this kit provides an easy, fun, and comprehensive way to learn programming and hardware integration without the hassle of soldering or complex wiring. Whether you're a student, teacher, or maker, this kit opens new doors to creativity and innovation.
In the world of AI, DeepSeek R1 and OpenAI GPT-4 stand out as two pioneering models, each excelling in different areas. While both are designed to push the boundaries of artificial intelligence, they serve distinct purposes, with DeepSeek focusing on optimized vertical applications and GPT-4 offering broader, more generalized capabilities. In this blog post, we’ll explore the core differences between these two models across several key dimensions, including their design philosophies, technical architectures, performance in various scenarios, and commercialization approaches.
For quite a period, Elecrow’s HMI displays have been a popular choice for a range of applications – from industrial automation to smart home control. With the success of the original Basic series, Elecrow has now launched the CrowPanel Advance series, which pushes the boundaries of performance, connectivity, and versatility. So let’s explore the key enhancements in the Advance Series and explain why it stands out from the Basic version.
Got a project hiding under your workbench? It’s time to showcase your masterpieces! Whether you’ve been tinkering with something new or finishing a long-forgotten project, now’s the perfect time to shine. Join us in the Elecrow 2nd Electronics Design Contest and get a chance to s
This guide will walk you through setting up a compatible environment, installing necessary tools, and running DeepSeek-R1 on the Raspberry Pi 5 using the Ollama platform. Whether you're looking for a lightweight model for quick responses or a more advanced version for better accuracy, this tutorial will help you get started.