Title of article :
Internet of Things Care Device for Visually Impaired and Old People
Author/Authors :
Anmol Department of Electronics and Communication Engineering - JSS Academy of Technical Education – C-20/1 Sec-62 Noida, Uttar Pradesh 201301, India , Sakya, Gayatri Department of Electronics and Communication Engineering - JSS Academy of Technical Education – C-20/1 Sec-62 Noida, Uttar Pradesh 201301, India , Verma, Suyash Department of Electronics and Communication Engineering - JSS Academy of Technical Education – C-20/1 Sec-62 Noida, Uttar Pradesh 201301, India
Pages :
15
From page :
132
To page :
146
Abstract :
Focusing on the problems faced by blind people, this paper has come up with the technology solution for the assistance of blind people. The solution is based on the intelligent data transmission to the earphone of a person based on task associated. The solution consists of a jacket to detect the obstacles along with a wearable box with task priority switchs. The system helps in detection of the obstacle and its height, one-touch cab booking and support of relatives, Ambulance services, Police services, etc. in the case of emergency. Either wired and wireless headphones or speakers can be interfaced with the device (box) to get audio notifications. The various tasks are triggered using multiple switches. The system will use a definitive SOC (System on Chip) platform recognized as Rasp-Pi-Pi along with ultrasonic sensor HC-SR04, Neo-6M GPS (Global Positioning System) module, and different switches. The system uses a 20,000 mAh lion battery for the power supply. The voice signals can be provided in more than fifty languages. A fall detection system is also discussed in this paper. This system will be beneficial not only for blind but also for care of old aged people.
Farsi abstract :
فاقد چكيده فارسي
Keywords :
Blind Assistive Device , IoT , Rasp-Pi-Pi , Wearable Systems , Obstacle Detection , Cab Booking , Emergency Contact , Fall Detection
Journal title :
Journal of Information Technology Management (JITM)
Serial Year :
2022
Record number :
2708032
Link To Document :
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