Augmented Home Security System with Computer Vision Based Human Activity Recognition

The project pioneers a Augmented Home Security System with Computer Vision Based Human Activity Recognition, addressing shortcomings in current surveillance practices to fortify residential protection. In response to escalating demands for advanced security, the study identifies limitations in conve...

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Vydáno v:International Conference on Advanced Computing and Communication Systems (Online) Ročník 1; s. 2329 - 2333
Hlavní autoři: Thillaiarasu, N, Satish, Prajwal, Bhargava, Vidushi, Reddy, S Vigneswara, Radhakrishnan, Athul
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 14.03.2024
Témata:
CNN
Computational modeling
Computer vision
Convolutional neural networks
Dataset Curation
Deep learning
Home Security system
Human activity recognition
human activity recognition (HAR)
Image Analysis
Intelligent Security Systems
Protection
Real-Time Surveillance
Real-time systems
Recurrent neural networks
Residential Safety
Security
Surveillance
ISBN:9798350384352
ISSN:2469-5556
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Shrnutí:The project pioneers a Augmented Home Security System with Computer Vision Based Human Activity Recognition, addressing shortcomings in current surveillance practices to fortify residential protection. In response to escalating demands for advanced security, the study identifies limitations in conventional methods. Leveraging insights from previous research on computer vision and deep learning, the primary objective is to implement cutting-edge image analysis, particularly employing CNN, and even instantaneous categorization of human activities. With a meticulously curated dataset, up-to-date Deep Learning (DL) models are trained, enabling robust recognition. The methodological approach involves real-time video feed analysis, empowering the system to discern a wide spectrum of activities. Beyond elevating home security, this research contributes substantively to the evolving intersection of computer vision and residential protection. Anticipated outcomes include an intelligent and responsive home security solution poised to redefine residential safety standards.
ISBN:9798350384352
ISSN:2469-5556
DOI:10.1109/ICACCS60874.2024.10716826