PRESENTATION OF CCP.pdf by sumit nagnath gunge

Presentation

1. Presentation

On
Automatic Fruit Sorting & Grading Using Arduino
Presented By

1. Sachin Gidde
2. Sumit Gunge
3. Aditya Magar
4. Shrinivas Dasari
Guided By
Mr. K. H. Wagh

Department of Electronics and Telecommunication Engineering
Vidya Vikas Pratishthan Polytechnic, Solapur
Maharashtra State Board Technical Education, Mumbai

3. Introduction
LiteratureSurvey
Block Diagram
Advantage
Application

4. Apply to industry and manufacturing in
orderto control or analyze a process or
activity.
Computervisionsystemsformtheirjudgment
based on specially designedimage
processingsoftware's. Therefore, image
processing is very crucial for their accuracy.

5. Computer visionincludesthecapturing,
processingandanalyzing images, facilitating
the objective and non -destructive assessment
ofvisualqualitycharacteristicsinfruitproducts.
Fruit industry is among the industries that
largely use image processing forinspection
ofproduce.

6. OBJECTIVE
The aim of the project is to
improve quality of fruit by
inspection using computer
vision.

7. ➢ NECESSITY
•Increased awareness and sophistication
of consumers
•Classification & Grading

8. INSPECTION OF FRUITS IN FRUIT INDUSTRY

9. LITERATURE SURVEY
Sr.
No
.
Author Name Work Discussed Research gap
1Sapirstein Generation of precise descriptive
data
Accuracy in the result
2Li, Tan, and
Martz
Reducing tedious human
involvement
Object identification being
considerably more difficult
3Tadhg Brosnan,
Da-Wen Sun
Image analysis in the food
industry
Quality Parameters
4Tajul Rosli B.
Razak¹, Mahmod
B. Othman²
Grading to mango by using
matlab
Improving grading
accuracy
5Parul Arora Different image processing based
classification techniques for the
fruit quality
Improving thresholding
method
6Bin Zhu a, Lu
Jiang a, Yaguang
Luo b, Yang Tao
Inspect the quality of apples Improve performance of
automated apple quality
inspection.

10. COMPONENTS OF COMPUTER
VISION SYSTEM MODEL

11. ➢SYSTEM FEATURES
Easy Operation
Convenient
Affordable

12. BLOCK DIAGRAM

13. SYSTEM FLOW DIAGRAM

14. DIFFERENT LEVELS IN THE IMAGE PROCESSING
PROCESS

15. SORTING & GRADING SYSTEM

16. ANALYSIS
Area
Intensity

17. ADVANTAGES
Improved Quality
Customer Satisfaction
Easy inspection

18. APPLICATIONS
Food industry
Bakery products
Meat and fish
Vegetables
Fruit