Introducing the v2.6 Release of the Yocto Project Extension for VS Code

Optimizing YOLO Training for Real-Time Detection on a LiDAR system This is the second of a three-part series on real-time YOLO detection on a LiDAR system for Edge AI. Find Article 1 on generating synthetic depth and NIR datasets here. Currently, new low-resolution embedded LiDAR such as the VL53L9CX, are emerging as a highly suitable […]

Enable Real-time Detection with Synthetic LiDAR Data Generation This series of articles will cover the essential components required to build real-time detection on a system with a dToF 3D LiDAR module. This first article is focused on synthetic LiDAR data generation. Synthetic LiDAR data generation for real-time detection Real-time Detection on a LiDAR System: Training […]

Accelerating early Linux boot with Yocto multiconfig By Paul Le Guen de Kerneizon Introduction In embedded products, cutting seconds, or even hundreds of milliseconds, from power‑on to application readiness is often critical. In this article, I will present a practical workflow to measure, compare, and iteratively reduce the early boot window of a Linux embedded […]

In today’s world, where everything from coffee machines to industrial equipment is connected to the network, knowing and assessing the security of your software and its dependencies has never been more important. Most vulnerabilities originate from small bugs in software components, and more recently (and thankfully less frequently) from sophisticated supply chain attacks. But with […]

Deploying a Convolutional Neural Network on an Embedded System Introduction The rise of embedded platforms capable of AI processing has been a real game changer: it is now possible to deploy intelligent solutions directly on the device itself, without relying on the cloud. This is known as « edge AI ». In a recent project, […]