1) SPIRA (System for Prevention in Rail Accidents) || MATLAB/Simulink
Developed using Arduino, Ultrasonic sensors & micro-LiDAR sensor for detection of cracks and anomalies in a railway track The point processed LiDAR data was used to form point cloud and a Gabor filter was applied on it to check for depths (-Z direction) in the cloud or the assumed cracks. Gabor filter was applied using MATLAB’s LiDAR toolbox.
Prototype of the proposed system
LiDAR Sensor point cloud
Crack detection by LiDAR along -Z direction
2) Stress Vest || Arduino, GSR -5000 Sensor, BPM Sensor, Seed Studio Sensors, CAD( Creo ), ECAD(Eagle)
The sensors measured the skin response and the body response of people subjected to stressful conditions. The aim was to find the levels of stress in obese students when physically demanding situations like Planks, pull-ups were presented before them by recording their body response.
Electronic design for the vest
Rough sketch
CAD Model
Data obtained
3) Net-Vent || Simulink, MATLAB, CAD(Creo), Raspberry Pi
Designed and simulated a low-cost, IoT-enabled, Invasive mechanical ventilator using feedback-based Adaptive PID control technique. This Research project won the University of Queensland Engineering Design Hackathon, 2020.
CAD Model
Control system
Simulation results
Simulation results
Winning Certificate:
Shivu Chauhan_Certificate.pdf