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Novel Artificial Intelligence-Dynamic Programming on Infrared Thermometer Based on Internet of Things (IoT)
Przeglad Elektrotechniczny ; 98(5):76-79, 2022.
Article in English | Scopus | ID: covidwho-1912276
ABSTRACT
According to the COVID-19 epidemic, the world has completely changed to new norm life. However, until 2022, people are still facing COVID-19 and its spreading and fast infection to the human body. Healthcare workers are on the front lines and are at higher risk of contracting COVID-19 than other occupations because they must be in close contact with the patient who risks virus diseases. The paper proposes the novel artificial intelligence (AI)-dynamic programming algorithm on infrared Thermometer based on the Internet of things (IoT) to support the medical personnel. The proposed novel thermometer is divided into three main sections, which are 1) Temperature sensing device, 2) Embedded dynamic programming algorithm, and 3) IoT communication platform. The innovation was designed using dynamic programming algorithm embedment, reducing complex and repetitive processing errors and fast computation. Moreover, it was tested according to the research methodology way. The temperatures were collected within the controlled condition test of time, environment condition, and same body organ of volunteer according to the various distances. The experimental results came out with three classified zones best, moderate, and ineffective spaces. In addition, the discussions were also included about the complication factors about sensor's accuracy detection, such as angle detection, target distance, and focusing of wireless infrared Thermometer. © 2022 Wydawnictwo SIGMA-NOT. All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Przeglad Elektrotechniczny Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Przeglad Elektrotechniczny Year: 2022 Document Type: Article