The iStick project is focused on developing a smart cane designed to enhance the safety and independence of elderly individuals iStick.pdf
Key features include
- fall detection
- GPS tracking
- An emergency button designed to immediately connect users with their local hospital for urgent assistance.
The primary objective is to create a reliable alert system that promptly notifies caregivers in the event of an incident involving the user, aligning with SDG 3: Good Health and Well-being.
Technologies Used: Hardware: ESP32 module, GPS module, accelerometer/gyroscope sensors (MPU6050), push button, jumper wires, 5-12V battery. Software: Arduino IDE for coding the ESP32, external libraries for sensor integration (e.g., MPU6050 library), real-time data processing algorithms for fall detection. Design Tools: 3D CAD programs for designing the cane head and overall structure.
Outcome: Achieved accurate fall detection and reliable GPS tracking, providing a scalable prototype for improved elderly care.
Initial Draft
Final Draft
Catia Model
Flow Chart
Project Report
Robotic_Project___Progress_Report__2-823276-17005320492119.pdf
Final Product
Video Illustration https://drive.google.com/file/d/1eQa0fQypIFVEK-A8LFhHbzWRhvuzAuRq/view?usp=sharing