Intruder Detection and Tracking Using Computer Vision and IoT
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-5550-1_44
Reference18 articles.
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3. Shaikh MU, Vora D, Anurag A (2021) Surveillance system for intruder detection using facial recognition. In: Balas VE, Semwal VB, Khandare A, Patil M (eds) Intelligent computing and networking. Lecture notes in networks and systems, vol 146. Springer, Singapore. https://doi.org/10.1007/978-981-15-7421-4_18
4. Uday BK, Vattikuti A, Gogineni K, Natarajan P (2019) Machine learning techniques for automatic intruder identification and alerting. In Saini H, Sayal R, Govardhan A, Buyya R (eds) Innovations in computer science and engineering. Lecture notes in networks and systems, vol 74, Springer, Singapore
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1. Real-Time Detection of Intruders Using an Acoustic Sensor and Internet-of-Things Computing;Sensors;2023-06-21
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