Artificial lntelligence Aided Search for Missing Children
Senapathi Varshini
, Dr. M Sumender Roy
AI, Machine Learning, Mission Children
The fact that half of the 174 children who go missing each day in India are still unaccounted for is incredibly troubling. According to a National Crime Records Bureau (NCRB) data, more than one lakh children (1, 11,569 in all) were reported missing up until 2016, and 55,625 of them were still unaccounted for at the end of the year that was cited by the Ministry of Home Affairs (MHA) in Parliament (LS Q no. 3928, 20-03-2018). In order to tackle and help out Police, AI-Assisted Search for Missing Children a GUI application was created in Python that the police may use to open a new case and find missing children. The missing person's image that has been supplied is processed on the backend, and important information are recorded. This is kept in a database together with more details like name, parent’s name, age, place, etc. An application using Android is also developed which can be made accessible to the general public. Using this application, a person's photo can be uploaded if found suspicious by the user. There is an option of submitting the photo obliquely or anonymously. Along with the location, this image is saved in the database. The GUI application applies a machine learning algorithm to compare user-submitted photos with those uploaded by the police. Any matches along with the place where the missing individual was last seen if they are discovered can displayed.
"Artificial lntelligence Aided Search for Missing Children", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.b742-b751, October-2024, Available :https://ijnrd.org/papers/IJNRD2410180.pdf
Volume 9
Issue 10,
October-2024
Pages : b742-b751
Paper Reg. ID: IJNRD_301295
Published Paper Id: IJNRD2410180
Downloads: 00032
Research Area: Science and Technology
Country: Vizag , Andhra Pradesh , India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave