Nidhin K V
, Sneha T S , Raichal Antony , Yadukrishna K S
AD, CNN, IoT, facial recognition
The increase in the number of people with Alzheimer's disease is a significant concern in numerous countries. Hence, new results for precluding, detecting, and supporting persons with the disease are needed. The end of this design is to develop a prototype that provides cerebral support services and ensures secure transferring of information that can be delved by a family member to cover the person with Alzheimer’s disease. Our system tracks the position of the person with announcement and sends an alert if the person leaves a specified area. Our system is useful for persons who are affected by mild and moderate Alzheimer’s disease. It supports them in flashing back their family members. Our results show that our system is effective for detecting the images of the family members of a person with announcement while icing a high delicacy and perfection compared to other standard ways.
"Alzheimer`s Assistance ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 7, page no.486 - 489, July-2023, Available :https://ijsdr.org/papers/IJSDR2307069.pdf
Volume 8
Issue 7,
July-2023
Pages : 486 - 489
Paper Reg. ID: IJSDR_207703
Published Paper Id: IJSDR2307069
Downloads: 000347225
Research Area: Electronics & Communication Engg.
Country: Ernakulam , Kerala, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
