iot
Projects with this topic
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An Air Quality Sensor System Brais Arias Rio's End Degree Project
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This project created a dataset that captures cyber data (Network Traffic) and physical data (sensor data from primitive sensors such as temperature, humidity, motion, etc.) from a smart home with the aim of detecting complex cyber-physical anomalies. The dataset can be found here: https://dx.doi.org/10.21227/sez1-2928
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This project develops video analytics towards anomaly detection on edge for smart cities under low light conditions: https://iotgarage.net/projects/VideoAnalyticstowardsAnomalyDetectionontheEdge.html
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A Home Assistant integration that implements a OGC SensorThings client
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I hate Google, but I want maps...
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Code voor een meet-up met wat IoT hardware, sensors, mesh-netwerk, data analyse en visualisatie.
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Simple fan assistant system project
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It is becoming fairly common to see models getting deployed on mobile phones and other (small) devices that you can plug into any computer with a USB port. The problems that edge inferencing provides (like offline, remote, and fast access) can be transformational, specifically for remote regions without access to a reliable source of power and network.
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Custom firmware for my Anet A8 printer. Forked from https://github.com/MarlinFirmware/Marlin
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This project develops an interactive cube that informs how data is managed within a given smart environment. For more details: https://iotgarage.net/projects/PrivacyAwareSmartHomesDataManagement.html
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About Vision- S, Video Based Security and Safety Device: • Detects movements • Records video footage of activity deemed suspicious • Alerts the user using a buzzer • Records external temperature to provide fire safety alert • Display security and safety related details
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In this project, we developed AnoML, which is an end-to-end data science pipeline that allows the integration of multiple wireless communication protocols, anomaly detection algorithms, and deployment to the edge, fog, and cloud platforms with minimal user interaction: https://doi.org/10.1016/j.iot.2021.100437
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In this project, we developed AnoML, which is an end-to-end data science pipeline that allows the integration of multiple wireless communication protocols, anomaly detection algorithms, and deployment to the edge, fog, and cloud platforms with minimal user interaction: https://doi.org/10.1016/j.iot.2021.100437
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