LoRa System for Monitoring and Facial Recognition

Abstract

With the increasing tendency of incorporating technology into environments and activities in everyday life, new methods are being proposed to better integrate devices and mankind. Networks designed for monitoring areas through video and image systems are being implemented in several applications. Recent studies have shown interest from both the academy and industry to integrate wireless surveillance networks with lowcost and long range transmission technologies, such as LoRa (Long Range). With the intention to explore this topic, this work presents the development of a system prototype for intelligent monitoring as a basis to future implementation of low-cost LoRabased Wireless Image Sensor Networks (WISN). The developed system consists of a processing unit, a data routing interface and multiple sensor nodes. Its operation is autonomous and initiated through the detection of human presence, by the sensor node, capturing an image of the individuals present at each detection. The data is transmitted through LoRa devices to the central hub, where python-based methods of facial detection and recognition are employed. Several tests were performed to both adjust the system and to verify its efficiency. The results achieved indicate the viability of the proposed low-cost LoRa-based WISN.

Efficient security level in wireless sensor networks (WSNs) using four-factors authentication over the Internet of Things (IoT)

“…Facial recognition: Another widely used biometric for identification and access control is facial recognition. To confirm someone’s identity, it compares their face to a saved photograph ( Rodrigues et al, 2021 ).…”