E

edge computing

ValidationOS is an open-source, local-first AI assurance platform that transforms AI performance into proven results. It provides tools for validating, optimizing, certifying, and monitoring AI models across edge hardware environments through automated testing, compatibility analysis, performance benchmarking, observability, and compliance workflows.

RoadCraft is an open-source AI motorcycle copilot system that combines helmet-based intelligence, real-time sensor fusion, and vehicle control integration to enhance rider safety without removing human control. It provides optional AI assistance for navigation, hazard detection, and emergency intervention, while supporting advanced features like V2X communication, stabilization systems, and edge-based processing. Built under the AGPL-3.0+ license, RoadCraft is designed for collaborative development of next-generation intelligent riding systems.

RequestStamp is a self-hosted edge request identity system that assigns a unique, traceable ID to every request entering your infrastructure. It enables real-time request tracking, rule-based decisioning, and full explainability of edge behavior across distributed systems. Designed for transparency and control, RequestStamp helps developers understand exactly what happened to any request, where, and why.

A real-time browser-based edge computing system that detects motion and intelligently captures only meaningful video events using on-device processing.

MSc degree thesis: multi-agent reinforcement learning for workload distribution in FaaS edge computing systems

Eclipse IoT Days is an annual event on IoT, Edge Computing and AI at Edge in Grenoble, France.

Expose your MicroK8s homelab to the Internet: https://www.donaldsebleung.com/blog/20240213-running-workloads-at-the-edge-with-microk8s

This project develops video analytics towards anomaly detection on edge for smart cities under low light conditions: https://iotgarage.net/projects/VideoAnalyticstowardsAnomalyDetectionontheEdge.html

Implementation of a Keyword Spotting Algorithm (KWS) using deep neural networks in the edge.

This project aims to develop a 100 node testbed to support data science and edge computing research. https://iotgarage.net/projects/LivingEdgeLaboratory.html