edge ai

Prompt Anything: Instance Segmentation with YOLOE-26 within a Hailo-10H Running YOLOE-26 as a “prompt anything” segmentation within a edge NPU, from model surgery and INT8 quantization to a 15.6 FPS (640px) / ~31 FPS (320px) fully optimized live pipeline. YOLOE-26’s open-vocabulary support lets operators type any class name for real-time segmentation on the Hailo-10H. Our […]

Monocular Depth Estimation on the Verdin i.MX95 for Edge AI   Deploying Monocular Depth Estimation on the Verdin i.MX95 for Edge AI: model adaptation, INT8 quantization, and a full embedded software stack for real-time depth inference at 30 FPS from a single RGB camera. Monocular depth estimation involves reconstructing a depth map from a single […]

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 […]