Fabric Defect Detection

Project Title

Fabric Defect Detection

Project Area of Specialization Artificial IntelligenceProject Summary

•In this project, the main concentration is to manage the Fabric by measuring the Defects . The system monitors the fabric defects by pi camera  and compare the image with cascades files which recognize the image and then inform through buzzer which beep on defects.

•The main goal of this project is to monitor the defects and manage overall fabric . It will provide faster, easier and cost effective. Existing fabric defect  have own advantages and drawbacks in addressing the level

•In this project, we will be overcome the problems and implemented an efficient Fabric Defect detection

Project Objectives

Aims and Objectives

1. To provide cost effective Fabric defect Detection.
2. Easy to implement and robust.
3. No need to manual supervision.
4. Easily detect the defect in fabric 

Project Implementation Method

Implementation

It will be based on  Raspberry Pi, python  along with Open CV in which the pakages used Pillow , Numpy ,CV2, Pickle.

• Our system has an advantage of higher accuracy, the image is trained through case-cased file
• The system based on pattern extraction which extract the pattern, the extracted features were grouped in case-cade classifier 
• Cascade file work as a detector in which perform action of checking the image
• It processes the image by using image processing  
• The device of Raspberry pi 3   helps us to detect the printed images
• The program is embedded into Raspberry pi 3.
• The image is saved on Raspberry pi 3 directory to compare the images with real images.

Benefits of the Project

1. It saves the cloth for being wrong defects
2. It detects that defects that  were print accurately
3. . Monitoring will be easy no need to manual supervision

Technical Details of Final Deliverable

1. Implemented  Fabric Defect Detection solution.
2. User-friendly .
3.  Final report.

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Manufacturing Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Affordable and Clean Energy, Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	21700
Jumper wires/Cables	Equipment	10	500	5000
Buzzer	Equipment	2	200	400
Raspberry Pi	Equipment	1	10000	10000
Raspberry Pi Case	Miscellaneous	1	800	800
Pi Camera	Equipment	2	2000	4000
SD Card	Miscellaneous	1	1500	1500