Dimond recognition system
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This document describes a diamond recognition system created by Sahajanand Laser Tech. Ltd. The system uses image processing to identify diamonds based on their diameter and center point. It captures images of diamonds using a camera connected to a Picolo card. It then applies algorithms like median filtering, morphology filtering, Sobel edge detection, and flood filling to find the diamond's boundary and center point. This allows it to check if a diamond has been processed before by matching its characteristics to a database of previously identified diamonds. The user interface provides live video, tools for processing images, and forms to view diamond details.
Dimond recognition system
- 1. Diamond Recognize System Kothiya Naresh Sutariya Piyush Company name: Sahajanand Laser Tech. ltd Mentor Name: jagdish Patel
- 2. Technology • Platform Windows family • Visual C++ MFC • Image Processing
- 3. Overview • Introduction • Analysis – Image Processing – Hardware • Design • Data Dictionary • Implementation – Algorithm
- 4. Introduction • Nowadays, diamonds business increased day by days also that is one of most business in our country • All diamonds maker party uses sophisticated tools & software for perfect shape of diamonds. • We making one of the product for beneficial to the diamonds maker party. • This product is responsible to check that the diamonds comes any time ago or not ? • If the diamond comes second time to the party then the this system give the all detail of this diamond. • This all checking process is based on image processing on diamonds that putted on device
- 5. Analysis(Image proc) • First of all we find characteristic of diamond for the differentiate between two diamonds. • One of most useful characteristic of rounded diamond is diameter. • Diameter is base on the center point of the diamonds • We analyze boundary finding Algorithm of any shape with image processing base on that find the center point • We find the following Algorithm:
- 6. Analysis • We find the following Algorithm: – Median Filter – Morphology Filter – Sobel Edge detection – Canny Edge detection – Flood Fill
- 7. Analysis(Hardware) • We use two main hardware in this product – Picolo card – Camera (diamond image capturing) • Picolo card is supporting to the camera for live video or grabbing the image and give to the program • Fig.
- 9. Analysis(Hardware) • Picolo card: – Picolo PCIe and Picolo are entry-level and cost- effective capture cards optimized for single camera applications. – Port • BNC Connector (bayonet Neill Concelman) • S-Video • DB9 Connector – Feature • Synchronization and Scaling • Bitmap Image Formats • Bus Mastering
- 12. Analysis(Hardware) • Camera(with Diamond): – The Watec WAT 902B EIA 1/2 inch CCD low light color camera with Minimum illumination 0.003 lux at F1.4 (AGC High). Equipped with Composite Video out, RCA Connection terminal and featuring 2:1 Interlace, 570 TV lines - Center and 380,000 pixels.
- 13. Design • The first look of software • Screenshot 1:(live video)
- 14. Design • Screenshot 2:(Find the Border)
- 15. Design • Screenshot 3: (Apply sobel)
- 16. Design • Screenshot 4: (Apply Flood fill )
- 17. Design • Screenshot 5: (Matching Found)
- 18. Design • Screenshot 6: (Matching Does’nt Found)
- 19. Design • Screenshot 7: (Diamond Detail fill up form)
- 20. Design • DFD (Level 0):
- 21. Design • DFD (Level 1):
- 26. Data Dictionary • Diamond Master Table
- 27. Implementation • Connectivity of picolo card: – That is possible with the EMultiCam library that provide by picolo card owner • Algorithm: – To finding border of Diamond we create our own algorithm – We use the SOBEL concept for making a black & white image – Implement weighted mean centroid for finding center point of polygon. – Use the flood fill for differentiate some part of diamond
- 28. Thank you ?