Digital Drawing (Gesture Recognition) using OpenCV, Python
₹5,000.00 Exc Tax
Digital Art – Drawing In The Air Through Camera
Platform : Python
Delivery Duration : 3-4 working Days
100 in stock
Description
ABSTRACT
Gesture Recognition is a technology which is used to identify human gestures with the help of mathematical algorithms. Gesture recognition recognizes the hand, tracks the hand movements & also provides information about hand position orientation and flux of the fingers. The colour markers are placed at the tip of the user fingers. This helps the webcam to identify the movement of hand and the gesture recognition. The drawing application allows the user you to draw on any surface by tracking the fingertip movements of the user’s index finger. The pictures that are drawn by the user can be stored and replaced on any other surface. The user can also shuffle through various pictures and drawing by using the hand gesture movements.
EXISTING SYSTEM
- Sensor based digital pen
DISADVANTAGES
- Some board is required for writing
PROPOSED SYSTEM
- Gesture based digital pen
ADVANTAGES
- It is a method of training hands to quickly sketch what the brain has already seen.
BLOCK DIAGRAM
BLOCK DIAGRAM EXPLANATION
Video is captured with the use of camera and it is converted to frames, by applying the HSV to the frames and the red threshold is applied to the video converted frames.by the use of red threshold centroid value can be estimated. Now we can draw the line using this centroid value with its exponential values.
HARDWARE REQUIREMENTS
- Raspberry Pi
- SD card
- Monitor
SOFTWARE REQUIREMENTS
- Raspbian
- Python
- OpenCV
RESULT
By this we can achieve the pen, paper less drawing, and we can make physically challenged people to draw with their gestures
REFERENCE
[I] Yang Enhuan, Mei Baoshu, Art [M], Beijing: People Publishing Press, 2001.
[2] Mark D, Non-material Society–Design Culture and Technology of Post-industrial World [M], Sichuan: Sichuan People’s Publishing Press, 1998.
[3] Dannal, Philosophy Art [M], Fulei, Social Sciences Academic Press Tianjing, 2004.
[4] Negroponte, Being Digital [M], Haikou: Hainan Publishing Press, 1997.
[5] TianShengli, Network Communication [M], Beijing: Science Press, 2001.
[6] Lu Xiaogang, Huze, Situation – Dialogue of Chinese Contemporary Art [M], Beijing: lincheng Publish Press, 2002.
[7] Wang Shouzhi, Modem Design History in the World [M], Beijing: China Youth Publish Press, 2002.
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