Rajesh K M

Worked as Assistant Professor at GSSSIETW, Mysuru
SIT, Tumakuru
Frameworks:
Django, pyparsing, SimpleCV, Django
Tools & Libraries:
OpenCV
Education:
Siddaganga Institute of Technology
Profile
Skills
Experience
Projects
Publications
Education
Achievements
Join HackerEarth and view Rajesh K M's full profile. It's absolutely free!
HackerEarth is the network of top developers across the world, enabling them to connect to start-ups, tech companies, organizations and discover the best developer jobs.
Language Activity
Technical Skills
Expertise
Network Architecture
Frameworks
Django, pyparsing, SimpleCV, Django
Tools & Libraries
OpenCV
Work Experience
Assistant Professor
GSSSIETW, Mysuru
-
Projects
“AN ADAPTIVE-PROFILE NOVEL APPROACH FOR AUTOMATIC LANDMARK ANNOTATION AND FACE EMOTION DETECTION USING OpenCV”
Aug 2015 - Present (2 years and 4 months)
The main objective of this project is to provide a novel framework for human face detection, automatic
landmark annotation, and facial feature extraction for face emotion detection. Different facial emotions of face
are to be detected automatically.
“VEHICLE TRACKING AND ACCIDENT DETECTION USING GPS, GSM & MEMS”
Jan 2014 - Jul 2014 (7 months)
The main aim in designing this product is to sense any accident in the vehicle and intimates preprogrammed numbers like the owner of the vehicle, ambulance, police etc. and also to trace the location of the vehicle using Google map.
“CARlite”
May 2016 - Jun 2016 (2 months)
The proposed system is based on building a noise free horn system using LiFi technology, which contributes to build the noiseless environment in transportation.
Publications
An Adaptive-Profile Modified Active Shape Model for Automatic Landmark Annotation using OpenCV
Rajesh K M,Naveenkumar M
18 May, 2016
Detection and tracking of face and facial features are the fundamental steps for many applications like Biometrics, human computer interface, video surveillance and expression analysis. This paper addresses the challenges in current techniques and presents an adaptive-profile accurate method for facial feature detection and real time tracking. Face and facial features are detected by improved Active shape model (ASM), This application is developed by using Intel’s Open source computer vision project, OpenCV, Microsoft’s .NET framework and dlib.
Education
Siddaganga Institute of Technology
Master of Technology (M.Tech.), Digital Communication
2014 - Present
Achievements
Participated in “INTER-COLLEGIATE CLIMATE SCIENCE QUIZ 2012” held at “INDIAN INSTITUTE OF SCIENCE”, Bangalore and won special prize
iisc, bangalore
Participated in CONNECTED WORLD HACKATHON by HARMAN and won special prize under “Top five teams”.
Harman
“CARlite”
“CARlite”
Subscribe to HackerEarth news
Join programming club on Facebook

Notifications
View All Notifications