Unmanned Mobile Multipurpose Monitoring System—iMonitor

Abstract

Many available intelligent monitoring devices and applications only perform passive monitoring of the environment and notify the user when events occur, lacking the integration of viable technologies. In this work, we propose a multipurpose monitoring device that integrates cloud computing, the Internet of Things (IoT), and mobile applications to implement an unmanned mobile monitoring system for real-time monitoring and manipulation. The proposed system utilizes a self-balancing car as a stabilizing vehicle and a micro video camera that records images for AI facial tracking and recognition, combined with an infrared thermal imager to obtain forehead temperature. The recognized results are sent to a mobile device via a live video stream. The video stream can be recorded and images can be captured through a mobile application and uploaded to a cloud storage for playback and examination later. If the streamed video lacks sufficient illumination and cannot be viewed clearly, the system can be switched to infrared thermography to capture thermal images for monitoring the environment.The system can also be used as a mobile body temperature detector for the detection of abnormal body temperatures at a border control for quarantine inspections during the outbreak of contagious diseases. Furthermore, the system is equipped with four gas sensors to detect up to 12 different kinds of gaseous substances or particulate matter so that the user can be aware of the environmental quality around the self-balancing car. The outcome of this work can be applied to public health monitoring, dynamic crowd monitoring at airports and harbors, and the monitoring of hazardous or disaster-affected locations for search and rescue to reduce the costs associated with manual monitoring and the risk of exposure to hazards.This version has been created for advance publication by formatting the accepted manuscript. Some editorial changes may be made to this version.

Mobile Detection and Alarming Systems for Hazardous Gases and Volatile Chemicals in Laboratories and Industrial Locations

“…The authors did not clearly explain the advantage of using two microcontrollers (Arduino UNO + Node MCU ESP8266) at the same time when the Node MCU may be enough for data acquisition, processing, and transmission. Similar approaches have been used on [25][26][27][28][29][30][31][32][33][34][35][36][37].…”

“…Robotics have been used in several targeted research due to it is flexibility and mobility through dangerous and unsafe environments. Chang et al [32], proposed a two-wheel robot-based multipurpose monitoring system that included a hazardous gas detection and alarming part. The system is managed by a Linux operating system based on Raspberry Pi 3 which includes a 1.4 GHz CPU, Bluetooth, and Wi-Fi functionality.…”

“…The review shows that ≈ 59% of the included systems use more than one sensing element. Systems in [24,25,28,[30][31][32]38,54], are good examples for implementing hybrid/multisensor detection procedure.…”

“…As the presented review focus on the mobile systems, we found that the IoT-based systems can achieve the following advantages over implementations: The review shows that ≈ 59% of the included systems use more than one sensing element. Systems in [24,25,28,[30][31][32]38,54], are good examples for implementing hybrid/multi-sensor detection procedure.…”

“…23% of the systems in this review are robotic implementation. The systems in [32,54,55,58,61] are good examples for achieving the advantages of using robotic-based systems. In these systems, several gas sensors have been adapted with robot infrastructures which provide a bigger memory size for gas levels data storage, powerful processor, additional longer lifetime power supply, ready to use wireless communication module, and ready to use robot monitoring application which can be used for gas data monitoring and alarming beside the classical robot controlling and monitoring tasks.…”