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Summer Internship(May 2020 - June 2020):
Summer Internship(May 2020 - June 2020):
Project 1: (Summer) Fault Detection in Transmission Tower (May 2019 - July 2019):
Project 1: (Summer) Fault Detection in Transmission Tower (May 2019 - July 2019):
Worked on the project under Dr. S.R. Mohanty, Dept. of Electrical Eng., IIT (BHU), in collaboration with Power Grid Corporation of India Limited.
Worked on the project under Dr. S.R. Mohanty, Dept. of Electrical Eng., IIT (BHU), in collaboration with Power Grid Corporation of India Limited.
In this project, the three-member team was supposed to design and implement an algorithm to detect and find the missing rods/angle in the 765KV transmission tower computationally, for that computer vision was used as the primary tool to achieve the same. The detailed explanation of the project can be found below in the Presentation, and the code of the algorithm with some data is also attached below.
In this project, the three-member team was supposed to design and implement an algorithm to detect and find the missing rods/angle in the 765KV transmission tower computationally, for that computer vision was used as the primary tool to achieve the same. The detailed explanation of the project can be found below in the Presentation, and the code of the algorithm with some data is also attached below.
Exposure: OpenCV, Morphological Operations, Image Processing.
Exposure: OpenCV, Morphological Operations, Image Processing.
Project 2: (Exploratory) Face detection Attendance System (Feb-May 2019)
Project 2: (Exploratory) Face detection Attendance System (Feb-May 2019)
This was my four-month project under Dr. S. R. Mohanty and Dr. Pratik Chattopadhyay. This project aims to create a system that automatically detects the student in the classroom and mark the attendance by recognizing their face. This system works by capturing human faces in the class. The detected faces are matched against the reference faces in the data-set, and the attendance is marked for the attendees.
This was my four-month project under Dr. S. R. Mohanty and Dr. Pratik Chattopadhyay. This project aims to create a system that automatically detects the student in the classroom and mark the attendance by recognizing their face. This system works by capturing human faces in the class. The detected faces are matched against the reference faces in the data-set, and the attendance is marked for the attendees.
The above process involves the use of OpenCV and Siamese Network to employ a face detection technique and detect an individual's presence in any given picture. The Convolutional Neural Network course of Coursera helped me to achieve the same.
The above process involves the use of OpenCV and Siamese Network to employ a face detection technique and detect an individual's presence in any given picture. The Convolutional Neural Network course of Coursera helped me to achieve the same.
A detailed explanation of the project can be found below in the presentation, and also code of the project can be found in my Github link attached below.
A detailed explanation of the project can be found below in the presentation, and also code of the project can be found in my Github link attached below.
Exposure: Machine Learning, Siamese Network.
Exposure: Machine Learning, Siamese Network.
Project 3: Front End Web-Development for Kashiyatra
Project 3: Front End Web-Development for Kashiyatra
This was my first web development project in which the team of three-member was supposed to Develop the Complete front-end of the website of Kashiyatra'19, the Annual Cultural Fest of IIT(BHU).
This was my first web development project in which the team of three-member was supposed to Develop the Complete front-end of the website of Kashiyatra'19, the Annual Cultural Fest of IIT(BHU).
I took HTML, CSS, and JavaScript(basics) from W3school and mainly used CodePen to import the web template.
I took HTML, CSS, and JavaScript(basics) from W3school and mainly used CodePen to import the web template.
The website's source code can be found in my GitHub repository, and the Certificate of appreciation can be found below.
The website's source code can be found in my GitHub repository, and the Certificate of appreciation can be found below.
Exposure: HTML, CSS, Java Script.
Exposure: HTML, CSS, Java Script.
Project 4: Pixelate
Project 4: Pixelate
This was my side project for the event named pixelate, organized under Technex'18, the Technical Fest of IIT(BHU). The detailed problem statement for the event can be found below.
This was my side project for the event named pixelate, organized under Technex'18, the Technical Fest of IIT(BHU). The detailed problem statement for the event can be found below.
To solve the problem statement, the team of three members implemented an autonomous robot that uses a feed from an overhead camera, detects various color-specific bricks and their shape and blueprint of the construction site, then place the bricks on the site without colliding with other bricks. The processing work was done in MATLAB, which involved image segmentation, shape detection, and graph theory like adjacency matrix and Dijkstra's Algorithm. The source code and certificate for the project can be found below.
To solve the problem statement, the team of three members implemented an autonomous robot that uses a feed from an overhead camera, detects various color-specific bricks and their shape and blueprint of the construction site, then place the bricks on the site without colliding with other bricks. The processing work was done in MATLAB, which involved image segmentation, shape detection, and graph theory like adjacency matrix and Dijkstra's Algorithm. The source code and certificate for the project can be found below.
Exposure: MATLAB, Arduino.
Exposure: MATLAB, Arduino.
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