iot
Projects with this topic
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This project aim to develop a context-aware anomaly detection mechanism/model that physically observes ICPS edge devices to detect cyberattacks: https://iotgarage.net/projects/ContextAwareSecurityforIndustrialControlSystems.html
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This project aim to develop a context-aware anomaly detection mechanism/model that physically observes ICPS edge devices to detect cyberattacks: https://iotgarage.net/projects/ContextAwareSecurityforIndustrialControlSystems.html
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Thie project benchmarks various camera trap image classification models
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Enables you to directly test your software on your hardware to build a Hardware in the Loop pipeline using GItLab CI/CD
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This GitLab repository serves as a dedicated space for conducting experiments and validations related to the research paper titled 'Federated learning efficient communication: Sparse single layer updates' submitted to the conference ISGTA'2023 (International Symposium on Green Technologies and Applications). You will find code notebook used to conduct our research validation here.
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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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A Home Assistant integration that implements a OGC SensorThings client
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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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Ini adalah source code Arduino dasar pembelajaran dari Inixindo IoT Kejar 2019
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The IoT Stack for ESP32 and Pi-Pico allows to build a sensor / actuator integrated into the (home) network with only a few lines of code. It uses AsyncIO and uses a so called service handler to ensure long term stable resilient operation.
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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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Portainer -compatible InfluxDB docker-compose
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Aplikasi IoT CatFeeder dengan ESP 8266 adalah sebuah aplikasi yang dirancang untuk mempermudah pemilik kucing dalam memberikan makan pada kucing mereka. Aplikasi ini menggunakan ESP 8266 sebagai pengendali feeding dan PHP sebagai bahasa pemrograman untuk mengelola database. Pemilik kucing dapat mengatur jadwal makan dan mengontrol jumlah makan yang diberikan melalui aplikasi ini.
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This project aims at Visualise IoT Data in 3D Abacws Building. Demo: https://youtu.be/AwuxW2VIEKs Screencast: https://youtu.be/w6ISb4_nTyA
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This is a variant of our CamTrap.AI project (https://gitlab.com/IOTGarage/camtrap.ai). Our original CamTrap.AI system was designed to handle around 1,000 images at a time. CamTrap.AI Bulk Classifier is specifically developed to efficiently classify over 2 million images captured by DGFC (https://www.dgfc.life/) over a decade
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