This resource offers an introduction and quick start guide for the Kitronik Air Quality Control HAT for Raspberry Pi. We will take a look at the general features of the board and how to get up and running/monitoring fast.

Understand Verilog conditional statements and apply them to FSMs, ALUs, and simulation environments without introducing latches.

In fast-paced computer vision, models advance to boost accuracy, speed, or both. YOLO11 (from YOLOv8) improves, benchmarked on LattePanda MU x86 SBC for detection, segmentation, pose estimation. OpenVINO shows its efficiency/speed, suitable for this device.

This project is to learn OpenCV LK Homography Target Tracking Using UNIHIKER. Connect an external USB camera on UNIHIKER and use the camera to detect the target and track it.

Discover how Verilog’s control flow helps create modular and scalable RTL using case, if, and loop constructs.

This project is to learn OpenCV Feature Homography Target Tracking Using UNIHIKER. Connect an external USB camera on UNIHIKER and use the camera to detect the target and track it.

In this tutorial we'll detail the hardware on the Dual Solid State Relay, how to connect it to an Arduino or other microcontroller and how to use the examples included in our Arduino library and Python package.

This article introduces a method using Intel Optimum-Intel to optimize its performance. The author utilized this method on a LattePanda Sigma, an x86 single board computer/server, leveraging the integrated GPU to accelerate LLaMA 3.1's inference speed, with impressive results.

In intelligent computing, SBCs are popular among developers for compactness, performance. SLMs are key in apps for efficiency. This article analyzes SLMs on LattePanda 3 Delta x86 (Ubuntu 22.04), comparing models like mathstral, phi 3 on speed, size, licenses, frameworks to aid developers.

Wake up your AI friend and do some small talk. You can now use ‘Javis’ to wake up Xiaozhi and talk to it. Have fun with UNIHIKER K10 and xiaozhi.

In the era of intelligent computing, popular SBCs and key SLMs are analyzed here. We examine SLMs (mathstral, phi 3, etc.) on Lattepanda Mu x86 (Ubuntu 22.04), comparing speed, size, licenses, frameworks to aid developers.

Understand how procedural and continuous assignments affect synthesis and simulation. Explore best practices for signal assignments to prevent simulation errors.