An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items
In the pandemic of COVID-19, it is crucial to consider the hygiene of the edible and nonedible things as it could be dangerous for our health to consume infected things. Furthermore, everything cannot be boiled before eating as it can destroy fruits and essential minerals and proteins. So, there is...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-01-01
|
| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2021.825468/full |
| _version_ | 1818333583516893184 |
|---|---|
| author | Dilip Kumar Urvashi Bansal Roobaea S. Alroobaea Abdullah M. Baqasah Mustapha Hedabou |
| author_facet | Dilip Kumar Urvashi Bansal Roobaea S. Alroobaea Abdullah M. Baqasah Mustapha Hedabou |
| author_sort | Dilip Kumar |
| collection | DOAJ |
| description | In the pandemic of COVID-19, it is crucial to consider the hygiene of the edible and nonedible things as it could be dangerous for our health to consume infected things. Furthermore, everything cannot be boiled before eating as it can destroy fruits and essential minerals and proteins. So, there is a dire need for a smart device that could sanitize edible items. The Germicidal Ultraviolet C (UVC) has proved the capabilities of destroying viruses and pathogens found on the surface of any objects. Although, a few minutes exposure to the UVC can destroy or inactivate the viruses and the pathogens, few doses of UVC light may damage the proteins of edible items and can affect the fruits and vegetables. To this end, we have proposed a novel design of a device that is employed with Artificial Intelligence along with UVC to auto detect the edible items and act accordingly. This causes limited UVC doses to be applied on different items as detected by proposed model according to their permissible limit. Additionally, the device is employed with a smart architecture which leads to consistent distribution of UVC light on the complete surface of the edible items. This results in saving the health as well as nutrition of edible items. |
| first_indexed | 2024-12-13T13:53:57Z |
| format | Article |
| id | doaj.art-3b1b569f0e0448c7952c68cad151f630 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-12-13T13:53:57Z |
| publishDate | 2022-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-3b1b569f0e0448c7952c68cad151f6302022-12-21T23:42:58ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-01-01910.3389/fpubh.2021.825468825468An Artificial Intelligence Approach for Expurgating Edible and Non-Edible ItemsDilip Kumar0Urvashi Bansal1Roobaea S. Alroobaea2Abdullah M. Baqasah3Mustapha Hedabou4Department of Computer Science and Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, IndiaDepartment of Computer Science and Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, IndiaDepartment Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi ArabiaDepartment of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi ArabiaSchool of Computer Science, Mohammed VI Polytechnic University, Ben Guerir, MoroccoIn the pandemic of COVID-19, it is crucial to consider the hygiene of the edible and nonedible things as it could be dangerous for our health to consume infected things. Furthermore, everything cannot be boiled before eating as it can destroy fruits and essential minerals and proteins. So, there is a dire need for a smart device that could sanitize edible items. The Germicidal Ultraviolet C (UVC) has proved the capabilities of destroying viruses and pathogens found on the surface of any objects. Although, a few minutes exposure to the UVC can destroy or inactivate the viruses and the pathogens, few doses of UVC light may damage the proteins of edible items and can affect the fruits and vegetables. To this end, we have proposed a novel design of a device that is employed with Artificial Intelligence along with UVC to auto detect the edible items and act accordingly. This causes limited UVC doses to be applied on different items as detected by proposed model according to their permissible limit. Additionally, the device is employed with a smart architecture which leads to consistent distribution of UVC light on the complete surface of the edible items. This results in saving the health as well as nutrition of edible items.https://www.frontiersin.org/articles/10.3389/fpubh.2021.825468/fullfood sanitizationsmart sanitizationUVCgermicidalfood safetymachine learning for health |
| spellingShingle | Dilip Kumar Urvashi Bansal Roobaea S. Alroobaea Abdullah M. Baqasah Mustapha Hedabou An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items Frontiers in Public Health food sanitization smart sanitization UVC germicidal food safety machine learning for health |
| title | An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items |
| title_full | An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items |
| title_fullStr | An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items |
| title_full_unstemmed | An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items |
| title_short | An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items |
| title_sort | artificial intelligence approach for expurgating edible and non edible items |
| topic | food sanitization smart sanitization UVC germicidal food safety machine learning for health |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2021.825468/full |
| work_keys_str_mv | AT dilipkumar anartificialintelligenceapproachforexpurgatingedibleandnonedibleitems AT urvashibansal anartificialintelligenceapproachforexpurgatingedibleandnonedibleitems AT roobaeasalroobaea anartificialintelligenceapproachforexpurgatingedibleandnonedibleitems AT abdullahmbaqasah anartificialintelligenceapproachforexpurgatingedibleandnonedibleitems AT mustaphahedabou anartificialintelligenceapproachforexpurgatingedibleandnonedibleitems AT dilipkumar artificialintelligenceapproachforexpurgatingedibleandnonedibleitems AT urvashibansal artificialintelligenceapproachforexpurgatingedibleandnonedibleitems AT roobaeasalroobaea artificialintelligenceapproachforexpurgatingedibleandnonedibleitems AT abdullahmbaqasah artificialintelligenceapproachforexpurgatingedibleandnonedibleitems AT mustaphahedabou artificialintelligenceapproachforexpurgatingedibleandnonedibleitems |