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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Smart System for Protection of Chest Infectious Diseases: Enhancing Detection and Prevention Using Advanced Technologies: DPDCDS |
| Authors Name: | Mansour Al-Hlalat |
| Unique Id: | IJSDR2307102 |
| Published In: | Volume 8 Issue 7, July-2023 |
| Abstract: | This research aims to assist a country in dealing with chest diseases and mitigating their negative effects through the design of an integrated computer program known as the Detecting and Preventing Chest Diseases System (DPDCDS). The DPDCDS is a low-cost and user-friendly system developed to aid in disease detection and prevention. The proposed DPDCDS utilizes digital image processing techniques on captured images of a person's face, hand, and arm to determine the likelihood of infectious chest diseases such as COVID-19. This fast and cost-effective system can be deployed across various healthcare facilities, airports, health centers, universities, schools, and government institutions to facilitate the swift identification of individuals at high risk of chest diseases. By implementing this system in public places, the government can protect its citizens from disease transmission and curb the rapid spread of infectious diseases. Consequently, the government can consider reopening public areas and workplaces, as the automated system efficiently detects individuals with a high probability of infection. The DPDCDS includes a sub-system known as the Detecting Infectious Chest Diseases System (DICDS), which focuses on identifying individuals at risk of infectious chest diseases. Additionally, another sub-system, the Defense Laws System (DLS), is developed to monitor compliance with defense laws, such as maintaining a physical distance of two meters and wearing face masks in public places. The DLS helps the government detect violators of these laws, categorize regions based on their adherence to regulations, and deploy monitoring and inspection measures in non-compliant areas. The DICDS achieves an accuracy rate of 98.3%, while the DLS achieves an impressive accuracy rate of 98.3%, indicating its effectiveness in accurately detecting infectious chest diseases. On the other hand, it demonstrates exceptional accuracy rates of 99.3% in distance detecting and an outstanding 99.9% in face mask detecting. Through the integration of image processing techniques and automated systems, the DPDCDS presents an effective solution to detect and prevent chest diseases, protect the population, and enforce defense laws. The simplicity, cost-effectiveness, and high accuracy of the proposed system make it a valuable tool for countries in their efforts to combat infectious chest diseases and mitigate their impact. |
| Keywords: | Chest Infectious Disease, COVID-19, Faster R-CNN, Detect Physical Distance, Mask-Wearing. |
| Cite Article: | "Smart System for Protection of Chest Infectious Diseases: Enhancing Detection and Prevention Using Advanced Technologies: DPDCDS ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 7, page no.703 - 716, July-2023, Available :http://www.ijsdr.org/papers/IJSDR2307102.pdf |
| Downloads: | 000338721 |
| Publication Details: | Published Paper ID: IJSDR2307102 Registration ID:207781 Published In: Volume 8 Issue 7, July-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.35209 Page No: 703 - 716 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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