Notes

Smart door
Smart door was a successful integration of key technologies, including Raspberry Pi, a 3D camera, a mobile app, and AWS, to develop a real-time smart door system that prioritizes secure access through individual recognition. My role extended to designing and implementing a sophisticated IoT system, featuring multiple components and advanced functionalities. Ensuring seamless integration and optimal system performance, I also took charge of designing and fabricating a precise PCB. This not only met exact specifications but significantly enhanced the reliability and functionality of the complex smart door system. This project showcases my hands-on experience in creating innovative solutions and my ability to manage diverse aspects of IoT projects effectively.
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Fault detection
So this project was an introduction to a fault-tolerant strategy to improve implantable devices in human body.
We assumed to have spare modules within the 2D sensor array on a defined geometry.
It can have different degrees of redundancy depending on the number and location of spare modules
So one of the most researched geometry in this project was (4,1) structure, where 4 primary sensors were placed at the corner of a square and a secondary sensor was placed at the center of the square. Failure of any primary sensor would be replaced by the secondary sensor.
So, for example we have a board of 1000 sensors so, out of that 800 would be considered as primary and 200 would be considered secondary.

Conducted random fault injection and simulation to determine the capability of the IRA structures for fault reconfiguration with an achievement of 100%
fault reconfiguration rate for all IRA structures when up to 65% of the primary modules were faulty
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PyzoFlex Sensor-Based Bone Angle Determination
Pyzoflex sensor which generates small voltage difference based on the force applied on it surface. So with the help of that sensor and mathematical derivation, we had computed the force applied to the angle deformed in human bone.
I was involved in collecting, amplifying,and transmitting data.
I also Designed and developed a custom circuit to interface the pyzoflex sensor with the microcontroller.
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Smart Glove-Based Gestures Recognition System
This project was divided into two parts. One with analog sensor and another with vision based gesture detection.
For analog sensor we used the flex sensor on each finger to detect the movement and recognize the gesture of the hand.
For the vision based gesture recognition, we used raspberry pi 4 with raspberry camera. it could recognize 30+ unique hand gesture.