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Remote Sensing and Optical Imaging/Sensing -- Applications on Sericulture and Shrimp Farm -- Sarun Sumriddetchkajorn NSTDA Research Fellow National Electronics and Computer Technology Center (NECTEC) National Science and Technology Development


  1. Remote Sensing and Optical Imaging/Sensing -- Applications on Sericulture and Shrimp Farm -- Sarun Sumriddetchkajorn NSTDA Research Fellow National Electronics and Computer Technology Center (NECTEC) National Science and Technology Development Agency (NSTDA) Ministry of Science and Technology, Thailand E-mail: sarun.sumriddetchkajorn@nectec.or.th 1 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  2. We We w would like to to ac acknowledge al all s sta taff of Se Sericultu ture D Depar artm tment an and Federat ation o of Thai ai Shrimp F Far armers A Associat ation on in T Thai ailan and 2 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  3. Silk Chinese knew about silk between 4000 and 3000 BCE Sogdian silk, 8th century • Silk has been utilized around the world for several purposes (e.g., clothing, optical materials) . • Today sericulture industry has played a significant role in economic growth for several countries. For example, silk related products in Thailand showed an export value of USD22.6 millions 3 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  4. Silkworm ( Bombyx mori ) Egg counter Stage of eggs Suitable number of female and male leads to better quality of eggs and cocoons http :// www . silkwormshop . com / images / lifecycle . jpg 4 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  5. Br Breeders: s: Sh Sheets s of of Si Silkw kwor orm Egg ggs s 5 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  6. Sheets s of of Silkw kwor orm Egg ggs s for or Selling g to o Fa Farmers 1 mm in diameter… About 20,000 eggs/sheet… how do you know? Stage of each egg? Therefore … Si Silkwor orm Egg C Counti ting Sy Syste tem is N Needed 6 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  7. NECTEC’s KhaiMai: Silkworm Egg Counter 1 mm dia Area Filtering Edge Detection Template Matching Noise Reduction (Median Filtering) 7 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  8. Deploye yed in 5 Si Silkworm rm Research ch Centers s in Thailan land • Silkworm egg counting: within 2 minutes (fastest) depended on type of silkworm eggs • Identification of stages of silkworm eggs: fresh, almost hatching, egg shell, bad eggs • Overall system accuracy: 87.9% 8 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  9. Needs • To obtain high quality breeders • To conserve high quality breeders • To achieve high quality raw silk thread It is highly desirable to be able to separate male and female silkworms 9 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  10. Silkworm ( Bombyx mori ) 3 2 1 http :// www . silkwormshop . com / images / lifecycle . jpg 10 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  11. Silkworm Gender Separation Methods • Visual inspection at the ventral surface of the 8th abdomen segment Low cost Slow Requires highly skilled people • Mass analysis Need reference weight/shape High error rates • Shape analysis • Magnetic Resonance Imaging High accuracy Very expensive • Near Infrared Spectroscopy Suitable for limited varieties of silkworms • Fluorescent imaging under UVA 11 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  12. Silkworm Gender Separation System via Mass Analysis 12 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  13. Silkworm Gender Separation via Size/Shape Nov 1972 13 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  14. Silkworm Gender Separation via Spectroscopy 14 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  15. Silkworm Gender Separation via Fluorescence Science China, Vol. 53, Nov. 2010. 15 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  16. Our Target • Lower Cost Silkworm Gender • Faster Response Identification- • High Accuracy Separation System How ? Optical Image + Penetration Processing 16 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  17. NECTEC Light Penetration-based Silkworm Pupa Sex Identification Structure TOP VIEW Silkworm Array of Pupa Light Sources SIDE VIEW Array of Light Sources Silkworm Pupa Electronic Controlling and Processing Unit Transparent Camera Support S. Sumriddetchkajorn and C. Kamtongdee, Applied Optics , Vol. 51, No. 4, pp. 408-412, February 2012. 17 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  18. Female Male In average, female silkworm pupae are just 0.08 mm wider and 0.19 mm longer than male High accuracy in silkworm sex separation via weight and size is hard to accomplish. 18 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  19. Silkworm pupa under Five Spectra are Investigated 468 nm 565 nm nm 639 nm 940 nm nm White te LED Male Female le High Image High Image Contrast Contrast Important Organ 19 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  20. Template Matching Process Shift invariant Female: 20/25 = 80% Male: 20/20 = 100% Total accuracy: 88% Processing time 46 ms Rotation invariant Female: 14/25 = 56% Male: 20/20 = 100% Total accuracy: 71% Processing time 56 ms Shift invariant, Rotation invariant, 20 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  21. Template Matching Results 21 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  22. Issues from the Use of Template Matching  Less flexible template  Low image contrast Loss of important feature  22 22 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  23. Blob (Area) Filtering Approach Live Image Global Image Removes unwanted image noises set at 70-255 Thresholding Blob Filtering #1 area filtering (10-30%) Small black dots appear + image inversion Image Inversion area filtering (3000-10000 pixels) Blob Filtering #2 Location of the chitin gland is pinpointed Sex Identification Measured average identification time is 38 ms 23 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  24. Original Red Image Global Blob Filtering #1 Image Image Inversion Plane Thresholding F M Sex Identification Blob Filtering #2 To Total 92.8% Ac Accuracy 24 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  25. Female High Accuracy: 20/22 = 90.9% Problem: Shrinkage in the posterior area 25 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  26. Male High Accuracy: 23/23 = 100% 26 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  27. Gender Separator for Silkworm Pupa • With optimized positions of LED, camera, and software • With the investigation of the silkworm pupa at the correct stage Key specifications: • Non-destructive separation • Accuracy: 95% • Speed: 20 silkworms / minute 27 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  28. st Grade Si Silk Thread ad 1 st de: : 600-1000 meter 0.10-0.15 mm diameter with small variation Good color uniformity 28 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  29. nd Grade ad 2 nd Si Silk Thread de: 600-1000 meter 0.20-0.40 mm diameter with medium variation Medium color uniformity 29 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  30. rd Grade Si Silk Thread ad 3 rd de: : 600-1000 meter 0.30-0.40 mm diameter with rough variation Rough color uniformity 30 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

  31. 10 10cm cm 5cm 5cm 100 silk threads ds Black plastic ic sheet Knots, s, Nodes 31 Sarun Sumriddetchkajorn, Feb. 14 , 201 9: Winter College on Applications of Optics and Photonics in Food Science

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