A Gesture-based Tool for Sterile Browsing of Radiology Images CNN and Open CV
Humans are able to recognize body and sign language easily. This is possible due to the combination of vision and synaptic interactions that were formed along brain development . In order to replicate this skill in computers, some problems need to be solved: how to separate objects of interest in images and which image capture technology and classification technique are more appropriate, among others.
In this project Gesture based Desktop automation ,First the model is trained pre trained on the images of different hand gestures, such as a showing numbers with fingers as 1 ,2,3,4 . This model uses the integrated webcam to capture the video frame. The image of the gesture captured in the video frame is compared with the Pre-trained model and the gesture is identified. If the gesture predictes is 1 then images is blurred;2, image is resized;3,image is rotated etc.
Mentor Rating 4.8 / 5 (6)
American University of Sharja, Sharja,UAE
It was a fruitful experience. A clear road map was provided to follow throughout the project along with an in-depth introduction of the packages required. The guided labs were extremely helpful and easy to follow.
GITAM University,Hyderabad, India
The Guided Projects were not only based on solving real world problems but were also really informative, the smartinternz platform has each and every step in detail and even though if we were stuck at any point the Mentors would help us to resolve all our queries. overall it was a great experience.
College of Engineering and Technology, Bhubaneswar, Odisha, India
I took Part of Aritificial Intelligence Guided Project from Smartinternz, it was a wonderful experience and highly motivating, It's a very innovative and smart platform for internships. It provides smarter ways of guiding and interacting with participants and educating through guided labs and projects. It really helped me in giving a boost to my career.