Tag - RK3566
The hard part of Edge AI OTA is not pushing a new package. It is designing staged rollout, rollback, and remote recovery for devices whose firmware, model, and configuration evolve together. This article explains how to do it from ESP32 to RK3566.
Blog, Embedded System Development , March 26, 2026 , AI Deployment, Device Operations, Edge AI, ESP32, Fleet Management, OTA, Remote Recovery, RK3566, Rollback, Staged Rollout
Real-time YOLOv8 INT8 on RK3566 is possible—if you manage execution paths, quantization effects, and model limits.
Blog, Edge Computing and Data Analytics , January 23, 2026 , Edge AI, Embedded Vision, INT8 quantization, NPU Optimization, Object Detection, RK3566, RKNN Toolkit, YOLOv8
A step-by-step guide to convert MediaPipe Gesture Recognition models to RKNN and running real-time inference on RK3566 NPU, with code and troubleshooting tips.
AI and Machine Learning, Blog , December 2, 2025 , Computer Vision, Edge AI, embedded AI, Gesture Recognition, Landmark Detection, MediaPipe, Model Quantization, RK3566, RKNN, Rockchip
Learn how to deploy YOLOv8 on RK3566 step by step. This complete edge inference tutorial covers model conversion, optimization, and real-time detection setup for embedded AI systems.
Blog, Edge Computing and Data Analytics , October 14, 2025 , Computer Vision, Deep Learning, Edge AI, Inference, Model Deployment, NPU, RK3566, RKNN Toolkit, YOLOv8