Abstract
We propose a linear image sensor specialized for the light section method to achieve high-speed and low-latency height measurement. This linear image sensor has pixels in the shape of triangles pointing upward and downward, which allows fast data readout and simple data processing of the cross-sectional profile acquisition. We have confirmed the basic feasibility of the sensor by numerical simulation. We also fabricated a prototype of the proposed sensor with 508 pixels. We conducted height measurement of the vertical translate stage and the step pyramid-shaped object and confirmed that the proposed sensor functions as a sensor for light section method.
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References
Javaid, M., Haleem, A., Singh, R.P., Suman, R.: Exploring impact and features of machine vision for progressive industry 4.0 culture. Sens. Int. 3, 100132 (2022)
Kanellakis, C., Nikolakopoulos, G.: Survey on computer vision for UAVs: current developments and trends. J. Intell. Rob. Syst. 87, 141–168 (2017)
Velez, G., Otaegui, O.: Embedding vision-based advanced driver assistance systems: a survey. In: IET Intelligent transports systems, Special Issue: Selected papers from the 22nd ITS World congress, Bordeaux (2015)
Zhang, J., Yang, X., Wang, W., Guan, J., Ding, L., Lee, V.C.S.: Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering. Autom. Constr. 146, 104699 (2023)
Alatise, M., Hancke, G.: A review on challenges of autonomous mobile robot and sensor fusion method. IEEE Access 8, 39830–39846 (2020)
Unger, S.: A Computer Oriented Toward Spatial Problems. In: Proc. IRE-ACM-AIEE ’58 (Western), pp. 234–239 (1958)
McCormick, B.: The Illinois pattern recognition computer-ILLIAC III. IEEE Trans. Electron. Comput. EC-12(6), 791–813 (1963)
Fountain, T., Goetcherian, V.: CLIP 4 parallel processing system. IEEE Proc. 127(5), 220–224 (1980)
Batcher, K.: Bit-serial parallel processing systems. IEEE Trans. Comput. C–31(5), 377–384 (1982)
Kruse, B.: A parallel picture processing machine. IEEE Trans. Comput. C–22(12), 1075–1087 (1973)
Ericsson, T., Danielsson, P.: LIPP-A SIMD Multiprocessor Architecture for Image Processing. In: Proc. 10th Annual Symposium on Computer Architecture, pp. 395–400 (1983)
Reeves, A.: A systematically designed binary array processor. IEEE Trans. Comput. C–29(4), 278–287 (1980)
Nakabo, Y., Ishii, I., Ishikawa, M.: 1 ms target tracking system using massively parallel processing vision. J. Robot. Soc. Japan 15(3), 414–421 (1997)
Mizuno, S., Fujita, K., Yamamoto, H., Mukozaka, N., Toyoda, H.: A 256 × 256 compact CMOS image sensor with on-chip motion detection function. IEEE J. Solid-State Circuits 38(6), 1072–1075 (2003)
Sugiyama, Y., Takumi, M., Toyoda, H., Mukozaka, N., Ihori, A., Kurashina, T., et al.: A high-speed CMOS image sensor with profile data acquiring function. IEEE J. Solid-State Circuits 40(12), 2816–2823 (2005)
Toyoda, H., Takumi, M., Mukozaka, N., Ishikawa, M.: 1 kHz measurement by using intelligent vison system—stereovison experiment on column parallel vision system: CPV4. In: 2008 SICE Annual Conference, 20–22 Aug (2008)
Yamazaki, T., Katayama, H., Uehara, S., Nose, A., Kobayashi,M., Shida, S., et al.: A 1ms High-Speed Vision Chip with 3D-Stacked 140GOPS Column-Parallel PEs for Spatio-Temporal Image Processing. In: International Solid-State Circuits Conference (ISSCC 2017), Proce., pp. 82–83 (2017)
Matsui, Y., Sugiyama, Y., Ihori, A., Toyoda, H., Mukozaka, N., Mizuno, S.: High Speed 3D Measurement module Using Profile Sensor. In: Proc. Symposium on Sensing via Image Information (SSII 2004), D-2, pp. 241–246 (2004)
Sugiyama, Y., Matsui, Y., Toyoda, H., Mukozaka, N., Ihori, A., Abe, T., et al.: A 3.2 kHz, 14-bit optical absolute rotary encoder with a CMOS profile sensor. IEEE Sens. J. 8(8), 1430–1436 (2008)
Takahashi, H., Shinohara, M., Sugawa, S.: Area auto focus CMOS sensor with CMOS inversion amplifier type frame memory for noise cancellation. J. Inst. Image Inf. Telev. Eng. 54(2), 229–241 (2000)
Araki, K., Sato, Y., Parthasarathy, S.: High Speed Rangefinder. In: Proc. SPIE 0850, Optics, Illumination, and Image Sensing for Machine Vision II, 12 Mar (1988)
Brajovic, V., Mori, K., Jankovic, N.: A100frames/s CMOS Range Image Sensor. In: Conference Paper in Digest of Technical Papers – IEEE Solid-State Circuits Conference, Feb (2001)
Oike, Y., Ikeda, M., Asada, K.: Design and implementation of real-time 3-D image sensor with 640 /spl times/ 480 pixel resolution. IEEE J. Solid-State Circuits 39(4), 622–628 (2004)
Oike, Y., Ikeda, M., Asada, K.: A 375 /spl rimes/ 365 high-speed 3-D range-finding image sensor using row-parallel search architecture and multisampling technique. IEEE J. Solid-State Circuits 40(2), 444–453 (2005)
Mandai, S., Ikeda, M., Asada,K.: A 256 × 256 14 k range maps/s 3-D range-finding image sensor using row-parallel embedded binary. In: 2010 IEEE International Solid-State Circuits Conference (ISSCC), 07–11 Feb (2010)
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Takumi, M., Uchida, K. & Ishii, K. Linear image sensor with triangular pixel geometry specialized for the light section method. Opt Rev (2024). https://doi.org/10.1007/s10043-024-00872-w
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DOI: https://doi.org/10.1007/s10043-024-00872-w