Soft computing techniques-based digital video forensics for fraud medical anomaly detection

• Autorzy: Nanda Sunpreet Kaur , Ghai Deepika , Ingole P.V. , Pande Sagar

Identyfikatory

DOI

10.24423/cames.447

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

smart healthcare system; medical imaging; healthcare fraud; MRI imaging; digital image forensics; object detection; YOLO architecture; customized CNN

PL

inteligentny system opieki zdrowotnej; obrazowanie medyczne; oszustwo w służbie zdrowia; obrazowanie MRI; kryminalistyka obrazu cyfrowego; detekcja obiektów; architektura YOLO; dostosowanie CNN

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2023
• Tom: Vol. 30, no. 2
• Strony: 111--130
• Opis fizyczny: Bibliogr. 35 poz., fot., tab., rys.

Twórcy

autor

Nanda Sunpreet Kaur

• Lovely Professional University, Phagwara, Punjab, India

autor

Ghai Deepika

• Lovely Professional University, Phagwara, Punjab, India

autor

Ingole P.V.

• Prof. Ram Meghe Institute of Technology & Research, Amravati, India

autor

Pande Sagar

• School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).