Low Cost Design of Non-Contact Thermometry for Diagnosis and Monitoring

Yamanoor, Narasimha Sai; Yamanoor, Srihari; Srivastava, Kriti

doi:10.1109/ghtc46280.2020.9342853

Cited by 8 publications

(5 citation statements)

References 16 publications

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“…The MLX90640 IR thermal camera's temperatures ranged from -40F to 572F with a resolution of ±29F [25]. The maximum frame rate of MLX90640 equals 16Hz, which is ideal for abnormal fever temperature [26]. Programmers can even perform high-precision processing with the help of SciPy python library and good results on a single board [27], [28].…”

Section: Fig 1 Total Vaccine Doses Per 100 Peoplementioning

confidence: 99%

A Prototype of a Robot Capable of Tracking Anyone with a High Body Temperature in Crowded Areas

Chaari

Aljaberi²

2021

Int. J. Onl. Eng.

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People's health and the world economy around worldwide are under the impact of the virus. Controlling the propagation of coronavirus is extraordinarily challenging after the seventeen months since the pandemic outbreak. This research will represent the efficiency of robots in helping humanity in facing the Corona pandemic and the global health crisis. According to the quick and widespread Covid-19 contagion globally, healthcare service demand increased staff with less availability. In this crisis, robotics is the safe solution at a low price to support people to fight Covid-19.Furthermore, it is essential to relax lockdown restrictions after the increase in the number of people vaccinated. In this context, we designed a mobile robot with a thermal temperature scanner for pedestrians and identified those with abnormal temperatures over 39°C in public places and track them in real time. This robot features a long-lasting, lightweight battery and a high-quality thermal camera. Our primary target is to reduce the risk of transmission between people. We use a single-board computer and a thermal camera to detect unusual fevers near real-time to achieve this design and prototyping. In addition, we use image processing to detect target pedestrians and a control system to guide the robot. This robot can bypass any potential obstacles that can prevent it from moving around and cause problems. The development of this robot mainly focuses on the real-time measurement of body temperature at a distance of two meters. The compensation algorithm can coordinate between the mechanical parts of the robot and high-efficiency design.

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Section: Fig 1 Total Vaccine Doses Per 100 Peoplementioning

confidence: 99%

A Prototype of a Robot Capable of Tracking Anyone with a High Body Temperature in Crowded Areas

Chaari

Aljaberi²

2021

Int. J. Onl. Eng.

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“…Early signal detection of contagious people with fever symptoms is one of the main goals for all countries. Hence, IoT in association with thermal sensors for COVID-19 fever screening and monitoring is widely discussed [2,6,15,21,22,23].…”

Section: Related Workmentioning

confidence: 99%

“…The data recorded uploaded into a database and stored on the cloud [20]. Both noncontact and contact body temperature measurement are discussed in [21], [22], [23], however, to achieve social distancing goal, noncontact thermometers are recommended [23]. Infrared thermometer is effective in detecting body temperature with fever and has strong correlation with outside skin temperature [24].…”

Section: Related Workmentioning

confidence: 99%

“…It is expensive because every employee in an organisation is required to have the device [6,7,8,9,10,11,12,13,14]. Motivated by related works [20,21,22,23,24,25], as well as a lack of information on temperature monitoring mechanisms connecting users to databases. This research gap is worth investigating, as it involves the development of an effective end-to-end temperature monitoring mechanism for effective surveillance in an organisation for high human traffic monitoring purposes.…”

Section: Related Workmentioning

confidence: 99%

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Cloud-Based Temperature Monitoring Mechanism for Covid-19 Pandemic Tracking

2021

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The unprecedented outbreak of novel coronavirus 2019 (COVID-19) globally has a huge impact to our daily life in numerous ways. To effectively minimize the spread of the virus, early symptom detection is crucial, especially in closed environment with high human traffic areas which post higher chances of human-to-human transmission. Body temperature measurement has been identified among the vital monitoring parameters. However, current available temperature monitoring mechanism is costly, limited to single individual and limited to locally without integrating to cloud and database. This led to difficulty in effective surveillance for suspicious COVID cases. Hence, the purpose of this paper is to introduce an end-to-end Internet of Things-enabled application for thermal monitoring as an early signal detection and screening method. This work integrates Raspberry Pi, thermal sensor, LCD display, buzzer, and LED light with Raspbian and Restful API for device-to-cloud communication. The system implemented is capable for user identification, body temperature remote monitoring and warning signal for fever symptoms. The result of this real-time system is capable to detect and screen the suspected contagious person in an organization effectively. Future works on integrating face recognition with machine learning and artificial intelligent enhancement.

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“…The normalization of the epidemic has become an unchangeable fact, and it is essential to support the epidemic prevention inspection with the functions of mask recognition and infrared temperature measurement, so as to realize the process of epidemic prevention without human contact [1]. Abhilasha et al [2] propose a combined center dispersion loss function to reduce the intra-class variations and inter-class similarities of facial expression datasets and achieve high accuracy in facial expression recognition. Warren [3] adopts a Siamese convolutional neural network (CNN) to force the multi-view expression recognition model to learn the same features as the frontal expression recognition model.…”

Section: Introductionmentioning

confidence: 99%

Design of mask recognition and temperature monitoring system

Zhou¹,

Jiang²,

Li³

et al. 2023

J. Phys.: Conf. Ser.

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This design is based on the STM32F103C8T6 mask recognition and temperature monitoring system, mainly including the mask recognition module based on the K210 chip, non-contact infrared temperature sensor module based on the ATmega328P chip, liquid crystal display module, infrared tube sensor module and buzzer module. When the infrared tube sensor senses the measured target, the system starts to supply power to ATmega328P. The infrared temperature measurement sensor module MLX90164 is used to measure the temperature of the target. At the same time, the temperature data is displayed on the LCD1602 display screen. If it exceeds the predetermined value, an alarm will be issued. When the temperature is normal, the system starts to supply power to K210, start the camera, lock the face position, identify whether the target is wearing a mask, and display the measured results through the 2.4-inch TFT screen. If the mask is worn correctly, the face frame will turn green. Through the software program, the three chips are mobilized for coordinated operation, the target body temperature is measured by using the temperature compensation algorithm, and the mask recognition is carried out by using the YoloV2 algorithm. The hardware design and software program design are improved, and finally, the material object is made. After repeated debugging of the real object, the expected effect is finally achieved. After gradual product improvement, it will be widely used in the daily monitoring of mask wearing identification and body temperature detection in the normalization of epidemic prevention and control in public places in the future.

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Low Cost Design of Non-Contact Thermometry for Diagnosis and Monitoring

Cited by 8 publications

References 16 publications

A Prototype of a Robot Capable of Tracking Anyone with a High Body Temperature in Crowded Areas

A Prototype of a Robot Capable of Tracking Anyone with a High Body Temperature in Crowded Areas

Cloud-Based Temperature Monitoring Mechanism for Covid-19 Pandemic Tracking

Design of mask recognition and temperature monitoring system

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