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AI Assistance for Home Surveillance

Home burglaries and house fires occur daily and bring hardships to the victims that suffered from these unfortunate events. Early detection of these situations allows for rapid responses and should always be a highly demanded feature amongst all homeowners. In this study, we propose an AI assistance framework specifically tailored to detect common household features using the home’s pre-existing surveillance cameras. This framework will allow homeowners to implement an extra layer of security on top of their existing hardware. We developed a prototype that detects abnormalities of fires, people, vehicles, and house pets. To the best knowledge of the authors, this is the first application of its kind to collectively monitor such a wide variety of activities to provide a holistic view of the state of home. We have verified the sustainability of the framework to monitor the home in real time.