IOT-ENABLED FALL DETECTION SYSTEM FOR STROLLERS AIMED AT PROMOTING CHILD SAFETY

Abstract

Stroller accidents can arise from multiple factors, including uneven surfaces, abrupt directional changes, or unattended strollers that may roll away. Traditional strollers typically feature limited safety measures, primarily relying on physical restraints or brakes,which lack active monitoring or real-time alert capabilities for potential dangers. The advent of IoT technology presents new possibilities for improving stroller safety. The proposed invention incorporates sensors, accelerometers, and gyroscopes to continuously assess the stroller's stability, direction, and speed. Upon detecting a potentially hazardous situation, the system can promptly notify caregivers through mobile alerts, alarms, or even automated emergency calls. This invention seeks to meet the increasing demand for enhanced child safety across various settings, including busy urban streets, parks, and residential neighborhoods. The system not only identifies falls but also anticipates and prevents them. The IoT connectivity enables this solution to swiftly inform caregivers, allowing them to react to any threats

Specification

Description:The exemplary embodiment of Figure. 1, illustrates the Accelerometers and gyroscopes
monitor stroller movement and detect abnormal conditions such as tipping or falls.
The exemplary embodiment of Figure. 2, illustrates the Proximity sensors observe nearby
objects or terrain. Sensors (accelerometer, gyroscope, proximity) continuously collect
data on the stroller's movement and position.
A microcontroller (e.g., ESP32 or STM32) processes the sensor data, running fall
detection algorithms to assess real-time risks. The microcontroller analyses the sensor
data in real-time to determine if the stroller is experiencing abnormal acceleration or
instability. If a potential fall or unsafe condition is detected, the microcontroller triggers
alerts. The system uses Bluetooth or Wi-Fi for wireless communication with external
devices, primarily the mobile application. The mobile app provides caregivers with real-
time data, alert notifications, and emergency contact management. It receives data from
the processing layer and sends back commands when necessary. The connectivity
module sends alerts to the caregiver's mobile app via Bluetooth or Wi-Fi. , Claims:1. An IoT-enabled fall detection system for strollers (100)comprising:
i) An AGP sensors(102 A);
ii)A cloud web server(103);
iii) A Mobile application (101);
iv)power supply module ;
2. An IoT-enabled fall detection system for strollers (100) as claimed in claim 1, where in the
Microcontroller processes data from multiple sensors to detect falls and instability
effectively (102);
3. An IoT-enabled fall detection system for strollers 100) as claimed in claim 1, where in
mobile application provides an intuitive interface for caregivers, ensuring prompt
notifications in the display and easy access to safety information app via Bluetooth or Wi-
Fi and track the stroller with the help of GPS and GSM (103); and
4. An IoT-enabled fall detection system for strollers (100) as claimed in claim 1, where in the
said invention enhances child safety in strollers through advanced monitoring and real-time
alerts. our system can automatically notify emergency contacts in critical situations,
ensuring swift action when needed, alarm in the system (101).

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