- Tytuł:
- Soft computing techniques-based digital video forensics for fraud medical anomaly detection
- Autorzy:
-
Nanda, Sunpreet Kaur
Ghai, Deepika
Ingole, P.V.
Pande, Sagar - Powiązania:
- https://bibliotekanauki.pl/articles/38701161.pdf
- Data publikacji:
- 2023
- Wydawca:
- Instytut Podstawowych Problemów Techniki PAN
- Tematy:
-
smart healthcare system
medical imaging
healthcare fraud
MRI imaging
digital image forensics
object detection
YOLO architecture
customized CNN
inteligentny system opieki zdrowotnej
obrazowanie medyczne
oszustwo w służbie zdrowia
obrazowanie MRI
kryminalistyka obrazu cyfrowego
detekcja obiektów
architektura YOLO
dostosowanie CNN - Opis:
- The current pandemic situation has made it important for everyone to wear masks. Digital image forensics plays an important role in preventing medical fraud and in object detection. It is helpful in avoiding the high-risk situations related to the health and security of the individuals or the society, including getting the proper evidence for identifying the people who are not wearing masks. A smart system can be developed based on the proposed soft computing technique, which can be helpful to detect precisely and quickly whether a person wears a mask or not and whether he/she is carrying a gun. The proposed method gave 100% accurate results in videos used to test such situations. The system was able to precisely differentiate between those wearing a mask and those not wearing a mask. It also effectively detects guns, which can be used in many applications where security plays an important role, such as the military, banks, etc.
- Źródło:
-
Computer Assisted Methods in Engineering and Science; 2023, 30, 2; 111-130
2299-3649 - Pojawia się w:
- Computer Assisted Methods in Engineering and Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł