VARDHAMAN COLLEGE OF ENGINEERING, HYDERABAD
An autonomous institute affiliated to JNTUH
2021-22
Title of the project:
Solution / Proposed Methodology:
Implementation Details:
FALL DETECTION SYSTEM
Since falls are a major public health problem among
older people, the number of systems aimed at
detecting them has increased dramatically over recent
years. A fall detection system can be defined as an
assistive device whose main objective is to alert when
a fall event has occurred.
In this project, we will build an IoT based
fall detection project using an MPU6050
sensor module features a gyroscope and an
accelerometer. and ESP8266 with an email
or message alert feature. Our fall detection
project will be linked with the IFTTT web
service to generate an email alert to notify
users whenever a fall is detected. The user
will get an update whenever a fall will be
detected, specifying the exact date and time
of the detection.
Problem Identification:
According to the World Health Organization approximately 2835% of people aged 65 and over fall each year increasing to 3242% for those over 70 years of age. In fact, falls exponentially
increase with age-related biological changes, which is leading to a
high incidence of falls and fall related injuries in the ageing
societies. Since falls are a major public health problem among
older people, the number of systems aimed at detecting them has
increased dramatically over recent years.
Design of the project:
Abstract:
The fall detection system is very useful for elderly people. It can notify
the concerned person or family member whenever it detects any fall
and can reduce the risk of delayed medical attention. This has led to
the development of automated fall detection systems. Nowadays, we
can find fall detectors in smartwatches, fitness trackers, and other types
of wearables. We are going to build a fall detection device using
NodeMCU and MPU6050 sensor module. If the fall is detected, the
device will send an SMS to the concerned person. NodeMCU is used
here as a microcontroller and Wi-Fi module to connect with IFTTT to
send SMS.
By
Under the Guidance of:
Mrs. Sujatha Gupta