3. OBJECTIVE
Writing in air has been one of the
most fascinating and challenging
research areas in field of image
processing and pattern recognition in
the recent years. Our objective is to
create a prototype to draw on air
using hand gesture
4. INTRODUCTION
Air Canvas is a hands-free digital drawing canvas that utilizes a Raspberry Pi, a
PiCamera, and OpenCV to recognize and map hand gestures onto a screen.
The idea for Air Canvas was a result of interest in digital drawing and smart photo
recognition software.
5.
6. BENEFITS
• It will be a unique means of
communication for the deaf.
• It is an effective
communication method in
the classroom.
• Air Writing
• Real-Time Gesture Control
System
7. APPROACH
• Color Detection and tracking are used in
order to achieve the objective.
• The color marker is detected and a
mask is produced.
• It includes the further steps of
morphological operations on the mask
produced which are Erosion and
Dilation.
• Erosion reduces the impurities present
in the mask and dilation further
restores the eroded main mask.
19. RESULT
• With Air Canvas, we have achieved a
hands-free drawing program that uses
OpenCV to detect the user’s pointer
finger.
• Colorful lines can be drawn wherever
the user desires and the brush can
even be modified.
• It has the potential to challenge
traditional writing methods.
• The system will be an excellent
software for smart wearables using
which people could better interact
with the digital world.
