| Budget Amount *help |
¥44,590,000 (Direct Cost: ¥34,300,000、Indirect Cost: ¥10,290,000)
Fiscal Year 2023: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2022: ¥7,280,000 (Direct Cost: ¥5,600,000、Indirect Cost: ¥1,680,000)
Fiscal Year 2021: ¥11,570,000 (Direct Cost: ¥8,900,000、Indirect Cost: ¥2,670,000)
Fiscal Year 2020: ¥10,400,000 (Direct Cost: ¥8,000,000、Indirect Cost: ¥2,400,000)
Fiscal Year 2019: ¥10,790,000 (Direct Cost: ¥8,300,000、Indirect Cost: ¥2,490,000)
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| Outline of Final Research Achievements |
In this study, we developed a "3D shape plus extra" measurement and point cloud processing method for translucent or metallic shiny objects such as food, medicine, cosmetics, etc. The LT matrix (reflection characteristic matrix from all points of the projector to all pixels of the camera) was efficiently obtained by sparse sensing. We also developed a parallel processing algorithm based on the vertical and horizontal decomposition of irradiation patterns, and confirmed the high-speed computing performance on GPUs. In addition, handling of translucent and metallic luster objects was conducted. Picking of lenses, metal screws, and metal blocks in bulk was conducted to verify sufficient performance, and the detection performance of surface flaws and chips was confirmed for transparent plastic products.
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