iot
Projects with this topic
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This project combines our own and well-known camera trap image classification pre-trained models under one roof. It integrates them via an ensemble model to increase the trustworthiness of the classification decision.
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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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Thie project benchmarks various camera trap image classification models
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CASP is developed to assist students, engineers and makers in designing, developing and validating real time embedded system software quickly with little programming effort.
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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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Français: Projet simulant un chronomètre avec un afficheur 4 digits, une platine d'essai avec 2 boutons poussoir et un Arduino Uno ou un ESP32 réalisé avec le Framework Arduino en C++ avec Platform.io
English: Project simulating a chronometer with a 4 digits display, a breadboard with 2 push buttons and an Arduino Uno or an ESP32 realized with the Framework Arduino in C++ with Platform.io
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Sistema que permite la visualizar coordenadas en un mapa tiempo real con ayuda de un Arduino
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recipes for mraa : https://projects.eclipse.org/proposals/eclipse-mraa
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This is the accompanying code repository for microcontroller tutorials presented in the AWS IoT EduKit program using the M5Stack Core2 for AWS IoT EduKit reference Hardware.
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KidBright plugin for communication over MQTT
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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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ESP32 based micro computer collecting data and controlloring lights of Fordson Dexta (1961) tractor.
It just might be that WizFi360 idea competition provides this device to be used... https://docs.wiznet.io/Product/Wi-Fi-Module/WizFi360/wizfi360_evb_mini
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Native Windows DoorBird client application. https://robiotic.net/hosted/doorbird/publish.htm
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