Block diagram of Robot functioning. Hardware required to make robot. Programming of image processing in MATLAB. (simulation) Implementation of control circuit in ARDUINO. (simulation) Development of “TAURUS: v1.0”: a farmbot. Hardware for dual axis Camera focus system. (video) Programming in the software: Processing. Feature Extraction for a Object: Pixel Detection & Motion Detection Conclusion

1. DIGITAL IMAGE
PROCESSING
Using Arduino & Matlab REVIEW-II
Raj Patel (14bee091)
Rana Shivang (14bee099)
Guided by Prof. Mayur Gojiya

2. RECAP OF PREVIOUS REVIEW-I
❖ What is digital image?
❖ How processing is done with digital image?
❖ Classification of Image
❖ Block diagram of DIP
❖ Quality Workforce Algorithm for Fruit Sorter
❖ Block Diagram of Face Detection using Spyder
❖ Block Diagram of Comparing to Two Images

3. INDEX
- Block diagram of Robot functioning.
- Hardware required to make robot.
- Programming of image processing in MATLAB. (simulation)
- Implementation of control circuit in ARDUINO. (simulation)
- Development of “TAURUS: v1.0”: a farmbot.
- Hardware for dual axis Camera focus system. (video)
- Programming in the software: Processing.
- Feature Extraction for a Object: Pixel Detection & Motion Detection
- Conclusion

4. BLOCK DIAGRAM OF ROBOT FUNCTIONING

5. HARDWARE REQUIRED
1. Arduino uno
2. Intex 1.0 MP camera
3. L293D driver IC
4. 12V 1.3 Ah battery
5. 12V DC motor
6. Wheels
7. Connecting Pins

6. MATLAB PROCESSING & BOT
WORKING

7. PROCESSING SOFTWARE FOR IMAGE PROCESSING
 Capabilities:
- Capturing image in real time or processed time
- Feature extraction from image
- Recording real time video with any device
- Video processing features

8. PROCESSING METHODS IMPLEMENTED
1) Pixel Detection Algorithm
2) Average Pixel Detection method
3) Motion Detection Method

9. ALGORITHM FOR PIXEL DETECTION TECHNIQUE:
Choosing a
particular pixel
Value e.g
(R,G,B):(255,0,0)
Saving pixel value
in an 3-Array e.g
Array_ref
=(255,0,0)
Capturing a
whole data of
array’s from video
image obtained
(30fps)
Comparing the array
obtained for ith pixel (
pix(i)_Array ) with Array_ref:
Comp= [pix(i)_Array] -
[Array_ref]
If Comp==0;
pixel is detected
and put a circle
there at ith pixel
If Comp=!0;
pixel is not
detected and i++

10. ALGORITHM FOR MOTION DETECTION:
Capture a image of video
(30fps) at t= ith sec:
Make a array of pixel values
of image: Array_pix(x)(y)(i)
x & y are 2D coordinates
Initialize: each
pix_value(x)(y)=blac
k
Capture a image of video
(30fps) at t= (i+1)th sec:
Make a array of pixel
values of
image:Array_pix(x)(y)(i+1)
Comp=[Array_pix(x)(y)(i+1)
- Array_pix(x)(y)(i)]
If Comp==0;
No motion
detected
pix_value(x)(y)=blac
k
If Comp=!0;
New motion detected
pix_value(x)(y)=white
If pix_value(x)(y)==pix_value(x+i)(y+j)==white;
Motion is detected in (i)(j) direction
Put a track ball in (i)(j) direction

11. PROTOTYPE TAURUS

12. PRECAP OF REVIEW-III
- Implementing Blob detection for any fruit and tagging them
- Deterioration factor detection for any low hanging fruits
- Two axis “Tarus-bot v.2” with metallic framework
- Tracking in any direction.
- Once images are captured then segmenting fruit image and sending them for feature
extraction.

13. CONCLUSION