iot
Projects with this topic
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Thie project benchmarks various camera trap image classification models
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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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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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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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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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Build your own custom WiFi Pineapple Tetra firmware tailored to any based MIPS 24Kc architecture router. (WiFi Pineapple Tetra DIY)
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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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ARM Fault handling functions for integrating into an STM32 HAL project. Derived from the MbedOS Fault Handler.
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Initiated as part of EPSRC PETRAS ResBE Project. Currently, the main repository for the ongoing development of the Smart Home Lab: https://iotgarage.net/projects/SmartHomeLab.html
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This project implementes for low resource edge devices and performed well for extreme illumination changes such as day and nighttime. https://doi.org/10.1002/int.22471
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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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A python library to easily control TP-Link Tapo Plug P100 and P105 via a custom API.
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