Abstract
Image recognition technology is becoming more and more widely used and is getting closer to people’s lives. This article applies the Jetson Nano embedded system and use the ImageNet dataset as a training set. Image recognition is implemented on the TensorFlow platform using Soft Max regression algorithm, and add CNN to improve the recognition accuracy.
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Zhang, H., Liu, S., Chen, H., Cheng, W. (2020). Implementation of Image Recognition on Embedded Systems. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_63
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DOI: https://doi.org/10.1007/978-981-13-9409-6_63
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