The document discusses interactive whiteboards and describes their key components and functionality like using a Wiimote and infrared pen to digitize handwritten notes on any surface. It also covers optical character recognition techniques used to translate handwritten text into machine-readable codes, including steps like preprocessing, segmentation, and pattern matching. The next steps outlined are implementing an interactive whiteboard system and adding optical character recognition capabilities.

1. “INTERACTIVE BOARD”
• BRIJESH GHUTUGADE
• PRAVIN DUDE
• NILESH AWALKAR
• CHINMAYA JOSHI

2. What is Interactive Board?
• Interactive Board are to digitize the handwritten data
• Using software to capture notes written on a board or
board-like surface
• Allows instructor to electronically handwrite notes.
• Easy manipulation of digital data.
• Enhances the delivery of Teaching material.
• Positive improvements to the classroom

3. Literature Survey:
• Digital Pen:
Captures handwritten information like text, images .
Contains inbuilt camera, image processor and blue-tooth
transceiver.
Digital pen requires special digital paper with dot
pattern that allows digital pen to analysis the
information.

5. Disadvantage Of Digital Pen :
• Requires special dot pattern printed paper
• Also Different pattern for each paper

6. Types OF Interactive Board :
1. Resistive touch-based
2. Electromagnetic pen-
based
3. Portable ultrasonic
4. Wiimote & IR-based

7. Why Wiimote based interactive board ?
• It is portable system
Cheaper than other similar
systems in market.
Wii Remote (Wiimote) can
turn any surface into a Low-
Cost Interactive
Whiteboard.
• The system can assembled
easily as not much wired
connections are to be
made.
• Easy availability of
wiimotes.

8. Working Principle:
• Wiimote
• IR (Infrared Red) Pen
• Required Softwares

9. Wiimote:
• Input controller for Nintendo's Wii gaming
console.

11. Wiimote:

12. Inside Wiimote:
1. IR Camera (128x96 Monochrome camera)

13. 2. Three axis Accelerometor
[ADXL 330]
3. Processor
– AMD Athlon™ 64 X2 Dual Core Processor
5000+ OC to 2.9GHz
– Nvidia Geforce 8800GT
– 3GB RAM DDR2

14. • Bluetooth Transreceiver :
Belkin F8T017 Bluetooth dongle
• Needs 2 Pencil cell Battery

15. Sensor Bar:
• It consists two
clusters of IR diode
• Each clusters
contains 5 IR

16. Basic Principle:
• “REVERSE LOGIC”
The camera
(Wiimote) is kept
stationary
and the IR light moves.

17. Infra red Pen:
• Easy Assembly
• high power infra red
emitting diode
• small battery

18. Infra red Pen:
• Easy Assembly
• high power infra red
emitting diode
• small battery

19. Applications

20. Optical Character Recognition:
• To translate human-
readable characters to
machine-readable codes
such as ASCII.
• Allows direct
processing of
documents by
computers.

21. Steps followed in OCR:

22. Data Acquisition:
• The page contained text is saved as an image
in a standard format.

23. The raw data is subjected to a number of preliminary
processing steps to make it usable in the descriptive
stages of character analysis. Pre-processing aims to
produce data that are easy for the OCR systems to
operate accurately.
The main objectives of pre-processing are :
• Filtering
• Binarization

24. Filtering:
• Before median filtering
• After median filtering

25. Binarization:
• Before binarization
• After binarization

26. Segmentation:
• performed on the pre-processed image in order to
separate the whole image into first horizontal lines
containing sentences, then into individual characters.
Main objectives:
• Line segmentation
• Character segmentation

27. Line segmentation:
• Before line
segmentation
• After line segmentation

28. Character segmentation:
• Before Character segmentation
• After Character segmentation

29. Pattern Matching:
• Normalised Cross-correlation Coefficient:
• f is the image,
• t¯ is the mean of the template,
• f¯(u,v) is the mean of the image under template

30. • Euclidean Distance Measure:
D=[ΣΣ{f(x,y)-g(x,y)}2 ]1/2
• f(x,y) is the segmented character to be
recognised,
• g(x,y) database images.

32. Schedule for next semester:
• Actual hardware implementation.
• Testing
• Implementation of OCR
• Testing & Modification