Semiconductor Physics, Quantum Electronics & Optoelectronics, 24 (1), P. 90-99 (2021).
THz linear array scanner in application to the real-time imaging and
convolutional neural network recognition
V. Lashkaryov Institute of Semiconductor Physics, National Academy of Sciences of Ukraine, Abstract.
Room temperature linear arrays (up to 160 detectors in array) from silicon metal-
oxide-semiconductor field-effect transistors (Si-MOSFETs) have been designed for sub-
THz (radiation frequency 140 GHz) close to real-time direct detection operation scanner to
be used for detection and recognition of hidden objects. For this scanner, the optical system
with aspherical lenses has been designed and manufactured. To estimate the quality of
optical system and its resolution, the system modulation transfer function was applied. The
scanner can perform real-time imaging with the spatial resolution better than 5 mm at the
radiation frequency 140 GHz and contrast 0.5 for the moving object speed up to 200 mm/s
and the depth of field 20 mm. The average dynamic range of real time imaging system with
160-detector linear array is close to 35 dB, when the sources with the output radiation
power of 23 mW (IMPATT diodes) are used (scan speed 200 mm/s). For the system with
32-detector array, the dynamic range was about 48 dB and for the single-detector system
with raster scanning 80 dB with lock-in amplifier. However, in the latter case for obtaining
the image with the sizes 20×40 mm and step of 1 mm, the average scanning time close to
15 min is needed. Convolutional neural network was exploited for automatic detection and
recognition of hidden items.
Keywords: linear sub-THz array, aspherical optics, scanning systems, convolutional neural
network. This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
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