Missing Person Identification using Machine Learning with Python

With advances in computing and telecommunications technologies, digital images and video are playing key roles in the present information era. This system uses powerful python algorithm through which the detection and recognition of face is very easy and efficient. Human face is an important biometr...

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Published in:International journal for research in applied science and engineering technology Vol. 10; no. 11; pp. 1264 - 1266
Main Authors: Srikanth, G., Swarnalatha, Adurti, Abhishek, Thalari, Patel, Ravula Sai Akhil, Swamy, Thalari
Format: Journal Article
Language:English
Published: 30.11.2022
ISSN:2321-9653, 2321-9653
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Abstract With advances in computing and telecommunications technologies, digital images and video are playing key roles in the present information era. This system uses powerful python algorithm through which the detection and recognition of face is very easy and efficient. Human face is an important biometric object in image and video databases of surveillance systems. Detecting and locating human faces and facial features in an image or image sequence are important tasks in dynamic environments, such as videos, where noise conditions, illuminations, locations of subjects and pose can vary significantly from frame to frame. we want to identify the person based on face data base which we have already created in own data. After that we want to start identification of face using face recognition package. Finally, we will do comparison with data base and we will say weather that person is missing person or unknown person.
AbstractList With advances in computing and telecommunications technologies, digital images and video are playing key roles in the present information era. This system uses powerful python algorithm through which the detection and recognition of face is very easy and efficient. Human face is an important biometric object in image and video databases of surveillance systems. Detecting and locating human faces and facial features in an image or image sequence are important tasks in dynamic environments, such as videos, where noise conditions, illuminations, locations of subjects and pose can vary significantly from frame to frame. we want to identify the person based on face data base which we have already created in own data. After that we want to start identification of face using face recognition package. Finally, we will do comparison with data base and we will say weather that person is missing person or unknown person.
Author Swamy, Thalari
Swarnalatha, Adurti
Patel, Ravula Sai Akhil
Srikanth, G.
Abhishek, Thalari
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