Projects with this topic
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OpenDiagnose is an open-source, AGPL-3.0+ modular diagnostic system that turns real-world visual input into structured, actionable repair guidance. Using wearable or edge-connected vision hardware, interchangeable AI models, and domain-specific knowledge packs, it identifies faults across mechanical, electrical, agricultural, and infrastructure systems. Designed as a commons-driven platform, it separates hardware, software, and diagnostic logic into replaceable modules so the system can evolve without vendor lock-in or closed components. https://roxanneardary.com/opendiagnose/
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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. https://roxanneardary.com/roadcraft/
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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. https://roxanneardary.com/requeststamp/
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OpenFabric is an open, modular Hardware Abstraction Layer specification that provides a universal device layer for edge computing environments. It enables software applications, AI systems, and automation platforms to interact with diverse hardware through standardized capability-based interfaces, creating a flexible foundation for interoperable, vendor-neutral device ecosystems. https://roxanneardary.com/openfabric/
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Transitio is an open specification for securely transitioning from cloud computing to Edge AI. It provides a modular, vendor-neutral framework for workload migration, distributed intelligence, hardware abstraction, security validation, and human-governed infrastructure evolution. https://roxanneardary.com/transitio/
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PulseDrive is an open-source, AI-assisted driver safety system that verifies sobriety before vehicle startup and continuously monitors driver identity and attention during operation. It combines fuel-cell breath analysis, CO₂ and pressure-based breath validation, and edge AI vision systems using dual RGB/IR cameras for driver monitoring and liveness detection. The system runs on edge hardware (such as NVIDIA Jetson or Intel NPU devices) and integrates with vehicles through a safe, read-only CAN/OBD-II interface that only authorizes ignition when safety conditions are met. PulseDrive is designed with a strict separation between deterministic safety-critical logic and advisory AI modules, emphasizing privacy, modularity, and automotive-grade safety principles under an AGPL-3.0+ open-source license. https://roxanneardary.com/pulsedrive/
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The AI and the Automobile collection brings together multiple specifications that define how AI integrates into modern vehicle systems, treating the automobile as a software-defined platform where intelligence spans perception, control, navigation, and energy management. It emphasizes real-time performance, safety-critical architecture, and the transition from purely mechanical systems to continuously evolving software-driven mobility. Across the collection, the specs also describe how automotive AI should be built through open and interoperable systems with strong safety practices, including simulation, validation pipelines, and human-in-the-loop oversight to handle edge cases. Together, they frame vehicle intelligence as a layered system combining autonomy, redundancy, diagnostics, and secure update mechanisms to enable reliable and scalable deployment.
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