NoIR Camera Based Security Surveillance System DOI
Sri Kalyan Yarlagadda,

Niharika Nalluru,

Santhi Swaroop Tirumalasetti

et al.

Published: April 15, 2025

The NoIR Camera-Based Raspberry Pi Security system is an adaptive, intelligent security that provides efficient, low-light monitoring. It reduces false alarms by using infrared sensitivity to provide day-and-night monitoring with advanced motion detection can differentiate between objects, including people and animals. This technology ideal for home security, animal tracking, restricted access surveillance because it uses local, on-device processing ensure data privacy, real-time responsiveness, IoT integration remote moni- toring. TensorFlow, which adapted run on the TensorFlow Lite, used in this object identification. Effective edge made possible TensorFlow’slightweight models, are essential reducing latency optimizing privacy. low light at night combination of imaging AI-driven detection. Future developments involve building a scalable network wider industrial use, extending classification categories facial recognition. Adaptability characteristics could be further enhanced more cloud analytics deeper integration.

Language: Английский

NoIR Camera Based Security Surveillance System DOI
Sri Kalyan Yarlagadda,

Niharika Nalluru,

Santhi Swaroop Tirumalasetti

et al.

Published: April 15, 2025

The NoIR Camera-Based Raspberry Pi Security system is an adaptive, intelligent security that provides efficient, low-light monitoring. It reduces false alarms by using infrared sensitivity to provide day-and-night monitoring with advanced motion detection can differentiate between objects, including people and animals. This technology ideal for home security, animal tracking, restricted access surveillance because it uses local, on-device processing ensure data privacy, real-time responsiveness, IoT integration remote moni- toring. TensorFlow, which adapted run on the TensorFlow Lite, used in this object identification. Effective edge made possible TensorFlow’slightweight models, are essential reducing latency optimizing privacy. low light at night combination of imaging AI-driven detection. Future developments involve building a scalable network wider industrial use, extending classification categories facial recognition. Adaptability characteristics could be further enhanced more cloud analytics deeper integration.

Language: Английский

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