← Back to cohort

Muhammad Saim Murshad

FAST · 2021 · i16-0409

—

Phone

—

GitHub

—

Academic

Program

—

CGPA

—

Year

2021

Education

—

Address

—

DOB

—

Career

Current role

—

Target role

—

Skills

MEMS Sensors, Accelerometer, Gyroscope, Arduino

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

Inertial Navigation System Using MEMS Sensors 
This projects aims to design and implement a system which uses the object it’s on internal 
reference to compute the orientation of the objects and the angular velocities in the respective axis 
of rotation using MEMS (Micro Electromechanical System). This device is very crucial in aerial 
objects which need to follow a certain path. These devices are available in the market but due to 
their higher cost and their error, most of the devices gives false output which will cause the 
destruction of object or in worst they need external signals to guide them to follow a path. So, they 
are susceptible to hacking or loss of signal cause divergence in the actual path they need to follow. 
Through this project we aim to design a cost effective system which gives small bounded errors and 
also not relay on some external sources to guide them to follow a trajectory or a certain movement. 
Our system will provide the orientation and the angular speeds along the x(roll), y(pitch) and z(yaw) 
axis with accuracy and a fast rate of update with small errors. This is a prototype and it can be 
scaled on a large scale to be implemented in the jets or airplane once we have done enough testing 
to this system. 
 
 
 
 
 
 
Technology Used: 
MEMS Sensors (Accelerometer, Gyroscope), Arduino 
 
Supervisor Name: 
 
Dr.  Mukhtar Ullah 
 
Group Members:  
Muhammad Saim Murshad (i16-0409)

AI enrichment

Muhammad Saim Murshad is a student who developed an inertial navigation system prototype using MEMS sensors and Arduino to compute object orientation and angular velocities. The project focused on creating a cost-effective, self-contained solution for aerial applications to reduce reliance on external signals and minimize errors.

Skills (AI)

["MEMS Sensors", "Accelerometer", "Gyroscope", "Arduino", "Inertial Navigation Systems", "Embedded Systems", "Prototype Development"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Engineering - 2021 (Final) (1).pdf
From job #21 page 77
Created: 1778141601