Low-power edge detection based on ferroelectric field-effect transistor
Abstract Edge detection is one of the most essential research hotspots in computer vision and has a wide variety of applications, such as image segmentation, target detection, and other high-level image processing technologies. However, efficient edge detection is difficult in a resource-constrained...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-55224-8 |
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| author | Jiajia Chen Jiacheng Xu Jiani Gu Bowen Chen Hongrui Zhang Haoji Qian Huan Liu Rongzong Shen Gaobo Lin Xiao Yu Miaomiao Zhang Yi’an Ding Yan Liu Jianshi Tang Huaqiang Wu Chengji Jin Genquan Han |
| author_facet | Jiajia Chen Jiacheng Xu Jiani Gu Bowen Chen Hongrui Zhang Haoji Qian Huan Liu Rongzong Shen Gaobo Lin Xiao Yu Miaomiao Zhang Yi’an Ding Yan Liu Jianshi Tang Huaqiang Wu Chengji Jin Genquan Han |
| author_sort | Jiajia Chen |
| collection | DOAJ |
| description | Abstract Edge detection is one of the most essential research hotspots in computer vision and has a wide variety of applications, such as image segmentation, target detection, and other high-level image processing technologies. However, efficient edge detection is difficult in a resource-constrained environment, especially edge-computing hardware. Here, we report a low-power edge detection hardware system based on HfO2-based ferroelectric field-effect transistor, which is one of the most potential non-volatile memories for energy-efficient computing. Different from the conventional edge detectors requiring sophisticated hardware for the complex operation such as convolution and gradient, the proposed edge detector is analogue-to-digital converter free and loaded into a multi-bit content addressable memory, which only needs one 4 × 4 ferroelectric field-effect transistor NAND array. The experimental results show that the proposed hardware system is able to achieve efficient image edge detection at low power consumption (~10 fJ/per operation), realizing no-accuracy-loss, low-power and analogue-to-digital-converter-free hardware system, providing a feasible solution for edge computing. |
| format | Article |
| id | doaj-art-4eb4e043590844568eb77bbddd080930 |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-4eb4e043590844568eb77bbddd0809302025-01-12T12:30:55ZengNature PortfolioNature Communications2041-17232025-01-011611910.1038/s41467-024-55224-8Low-power edge detection based on ferroelectric field-effect transistorJiajia Chen0Jiacheng Xu1Jiani Gu2Bowen Chen3Hongrui Zhang4Haoji Qian5Huan Liu6Rongzong Shen7Gaobo Lin8Xiao Yu9Miaomiao Zhang10Yi’an Ding11Yan Liu12Jianshi Tang13Huaqiang Wu14Chengji Jin15Genquan Han16Hangzhou Institute of Technology, Xidian UniversityResearch Center for New Materials Computing, Zhejiang LabResearch Center for New Materials Computing, Zhejiang LabResearch Center for New Materials Computing, Zhejiang LabHangzhou Institute of Technology, Xidian UniversityHangzhou Institute of Technology, Xidian UniversityHangzhou Institute of Technology, Xidian UniversityResearch Center for New Materials Computing, Zhejiang LabResearch Center for New Materials Computing, Zhejiang LabHangzhou Institute of Technology, Xidian UniversityHangzhou Institute of Technology, Xidian UniversityHangzhou Institute of Technology, Xidian UniversityHangzhou Institute of Technology, Xidian UniversitySchool of Integrated Circuits, Beijing National Research Center for Information Science and Technology, Tsinghua UniversitySchool of Integrated Circuits, Beijing National Research Center for Information Science and Technology, Tsinghua UniversityHangzhou Institute of Technology, Xidian UniversityHangzhou Institute of Technology, Xidian UniversityAbstract Edge detection is one of the most essential research hotspots in computer vision and has a wide variety of applications, such as image segmentation, target detection, and other high-level image processing technologies. However, efficient edge detection is difficult in a resource-constrained environment, especially edge-computing hardware. Here, we report a low-power edge detection hardware system based on HfO2-based ferroelectric field-effect transistor, which is one of the most potential non-volatile memories for energy-efficient computing. Different from the conventional edge detectors requiring sophisticated hardware for the complex operation such as convolution and gradient, the proposed edge detector is analogue-to-digital converter free and loaded into a multi-bit content addressable memory, which only needs one 4 × 4 ferroelectric field-effect transistor NAND array. The experimental results show that the proposed hardware system is able to achieve efficient image edge detection at low power consumption (~10 fJ/per operation), realizing no-accuracy-loss, low-power and analogue-to-digital-converter-free hardware system, providing a feasible solution for edge computing.https://doi.org/10.1038/s41467-024-55224-8 |
| spellingShingle | Jiajia Chen Jiacheng Xu Jiani Gu Bowen Chen Hongrui Zhang Haoji Qian Huan Liu Rongzong Shen Gaobo Lin Xiao Yu Miaomiao Zhang Yi’an Ding Yan Liu Jianshi Tang Huaqiang Wu Chengji Jin Genquan Han Low-power edge detection based on ferroelectric field-effect transistor Nature Communications |
| title | Low-power edge detection based on ferroelectric field-effect transistor |
| title_full | Low-power edge detection based on ferroelectric field-effect transistor |
| title_fullStr | Low-power edge detection based on ferroelectric field-effect transistor |
| title_full_unstemmed | Low-power edge detection based on ferroelectric field-effect transistor |
| title_short | Low-power edge detection based on ferroelectric field-effect transistor |
| title_sort | low power edge detection based on ferroelectric field effect transistor |
| url | https://doi.org/10.1038/s41467-024-55224-8 |
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