IOT Based
Person/Wheelchair Fall Detection
TEAM MEMBERES NAME:
1.S.YUGESH KUMAR
2.S.NANDHAKUMAR
3.C.PRAKASH
4.VIGNESH BALASUBRAMANIAM
B.E
MECHATRONICS ENGINEERING
PROBLEM STATEMENT:
When it
comes to old age, it becomes necessary to monitor our old ones for their health
and safety. Due to weakness and weak joints they have a great risk of falling
down. Now it is important to know if an old age person has fallen so that
he/she can be helped on time. Also people on wheelchair need to be checked for
fall detection.
SOLUTION:
For this purpose we propose a smart fall
detection system. The system uses accelerometer and gyro sensor to detect
person movements, It can be mounted on persons hand or wheelchair for
detection. The sensor is connected to a microcontroller in order to constantly
transmit the acceleration data. Now the system keeps monitoring for fall
detection and abrupt movement changes in person. A sudden abrupt change with
jerk in the system is treated as a fall. Now in case the person did not fall
and alarm was false, the system allows to snooze the alert if person presses
snooze button in 5 seconds. If person does not press the snooze, system detects
person has fallen and automatically triggers alert through wifi connection to
alert the loved ones of the person about the situation instantly.
Block Diagram :
SENSORS USED:
- Accelerometer Sensor
- Gyroscope Sensor
- Atmega 328 Microcontroller
- Wifi Modem
- LCD Display
- LED’s
- Transformer
- Resistors
- Capacitors
- Diodes
SOFTWARE USED:
- Arduino Compiler
- MC Programming
Language: C
USAGE:
- It will help our parents
to be safe always
- In hospital patients are
be safe always
- In some cases some old and
weak people who are all affected by paralysis are be continuously be
monitored.
FUTURE SCOPE:
In future the development of technology leads
to advanced enhancement and the continuous monitoring be automated.
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