2 dépôts
Awesome GitHub RepositoriesVirtual Sensors
Sensors whose values are computed through software logic rather than direct hardware measurement.
Distinct from Sensor Processing: Distinct from Sensor Processing: focuses on the creation of a virtual entity (template sensor) rather than the processing algorithms for physical sensor data.
Explore 2 awesome GitHub repositories matching hardware & iot · Virtual Sensors. Refine with filters or upvote what's useful.
Awesome Virtual Sensors GitHub Repositories
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- home-assistant/home-assistant.io
home-assistant/home-assistant.io
9,466Voir sur GitHubHome Assistant is a local home automation platform and server that acts as an IoT device orchestrator. It integrates diverse smart home hardware by wrapping third-party APIs into a standardized logic layer and stores all system state and historical statistics on local hardware to eliminate cloud dependencies. The system functions as a Matter IoT controller and an MQTT home automation bridge, allowing for local interoperability between different manufacturers. It features a state-based entity model and an internal event bus that decouple physical device logic from system automation. The platf
Calculates new sensor values by aggregating data from multiple existing entities using software logic.
HTMLdocumentationhacktoberfesthass - cameraui/camera.ui
cameraui/camera.ui
1,046Voir sur GitHubCamera.ui is a self-hosted network video recorder that provides a centralized dashboard for managing live surveillance feeds, continuous video recording, and automated security monitoring. It functions as an integrated platform that combines video stream management with an artificial intelligence engine to identify objects and events directly on local hardware. The system distinguishes itself through its event-driven architecture, which utilizes a messaging broker to decouple hardware state updates from automation logic. This allows for deep integration with smart home ecosystems, enabling us
Computes sensor values through software logic rather than direct hardware measurement to bridge automation gaps.
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