Abstract
SummaryTerahertz (THz) technology lays the foundation for next-generation high-speed wireless communication, nondestructive testing, food safety inspecting, and medical applications. When THz technology is integrated by artificial intelligence (AI), it is confidently expected that THz technology could be accelerated from the laboratory research stage to practical industrial applications. Employing THz video imaging, we can gain more insights into the internal morphology of silkworm egg. Deep learning algorithm combined with THz silkworm egg images, rapid recognition of the silkworm egg development stages is successfully demonstrated, with a recognition accuracy of ∼98.5%. Through the fusion of optical imaging and THz imaging, we further improve the AI recognition accuracy of silkworm egg development stages to ∼99.2%. The proposed THz imaging technology not only features the intrinsic THz imaging advantages, but also possesses AI merits of low time consuming and high recognition accuracy, which can be extended to other application scenarios.
Highlights
Terahertz (THz, 0.1–10 THz) waves, located between microwave and near-infrared light, featured many distinguishing properties, and have been recognized as the basis of next-generation high-speed wireless communication and one of the most powerful non-invasive spectral sensing and imaging techniques (Ma et al, 2018; Sengupta et al, 2018; Venkatesh et al, 2020; Yang et al, 2020)
When THz technology is integrated by artificial intelligence (AI), it is confidently expected that THz technology could be accelerated from the laboratory research stage to practical industrial applications
High-power THz quantum cascaded laser (QCL) light sources are facing the dawn of moving from the laboratory research stage to practical applications (Khalatpour et al, 2021; Stantchey et al, 2020), and THz video imaging technique is expected to usher in rapid development (Zhou et al, 2018)
Summary
Terahertz (THz, 0.1–10 THz) waves, located between microwave and near-infrared light, featured many distinguishing properties, and have been recognized as the basis of next-generation high-speed wireless communication and one of the most powerful non-invasive spectral sensing and imaging techniques (Ma et al, 2018; Sengupta et al, 2018; Venkatesh et al, 2020; Yang et al, 2020). Along with the accelerated advances of high-power THz sources (Chen et al, 2019; Khalatpour et al, 2021; Samizadeh Nikoo et al, 2020; Zhang et al, 2021; Zhao et al, 2020) and various high-sensitivity THz detectors (Gayduchenko et al, 2021; Guo et al, 2020; Ma et al, 2019; Peng et al, 2020), THz spectral imaging technology turns out to be feasible Among these devices, high-power THz quantum cascaded laser (QCL) light sources are facing the dawn of moving from the laboratory research stage to practical applications (Khalatpour et al, 2021; Stantchey et al, 2020), and THz video imaging technique is expected to usher in rapid development (Zhou et al, 2018). Recent advances in deep learning have been providing various versatile solutions for optics (Fan et al, 2020; Norris et al, 2020; Varadarajan et al, 2020), inspiring the intersection of deep learning and THz technology (Veli et al, 2021), the intelligent THz imaging technology and its applications are still in their infancy, and further explorations are highly demanded
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