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 low-cost 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 intelligentmonitoring as a basis to future implementation of low-cost LoRa-based Wireless Image Sensor Networks (WISN). The system developed 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 sensornode, 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 achievedwere satisfactory, indicating the viability of the proposed low-cost LoRa-based WISN.

Highlights

  • In its first appearance, in the late 1990s, the expression Internet of Things (IoT) was much more of a marketing term than an actual technological concept

  • The results showed that the LoRa was able to transmit information to points located 4 km away with packet loss less than 2%

  • In [22], the authors propose a visual monitoring system focused on agricultural applications that is based on sending continuous images from a camera using LoRa

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Summary

INTRODUCTION

In the late 1990s, the expression Internet of Things (IoT) was much more of a marketing term than an actual technological concept. In the context of WSN, a new research and application field is arising: The Wireless Image Sensor Networks (WISN), frequently implemented in fields such as public and private security, environment monitoring, aerospace observation, among others As those systems’ primary source of information are images, usually characterized by a large volume of data, progress in this area is intrinsically associated with advancements in the data rate capabilities of LPWAN. Experiments were carried out with the system’s prototype to evaluate its overall performance as well as the viability of the LoRa technology as a technical and commercial solution for WISN

BACKGROUND
CMOS Image Sensors
Facial Recognition
EXPERIMENTAL RESULTS
Analysis of Signal Range and Interference in an Urban Scenario
Analysis on Identification of Known Faces
Analysis on Verification of Unknown Faces
Point-to-Point System Validation
Validation of the System working in a LoRa Network
Comparison with Related Works
Future Works and Continuation of this Research
Full Text
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