The Shinki-236 uses a CMOSIS CMV20000 sensor with a custom filter array. The 236 spectral bands are distributed non-uniformly: 80 bands in the blue (400–475 nm), 76 in green (475–600 nm), and 80 in red/NIR (600–1000 nm). Data output is via USB 3.2 or GMSL2.
Shinki-236, multispectral sensing, autonomous navigation, embedded vision
The Shinki-236 was developed to address size, weight, and power (SWaP) constraints in small UAVs. Previous sensors (e.g., Shinki-120, Shinki-180) lacked sufficient channel density for material classification. Section 2 describes the hardware architecture. Section 3 details the test methodology. Section 4 presents results. Section 5 concludes.
[1] Shinki Corp. (2025). Shinki-236 datasheet, v2.1. [2] … Please reply with clarification so I can give you an accurate and useful paper draft. If this is for a real publication, I strongly advise checking the correct document number with your source.
We compared the Shinki-236 against a Specim IQ and a Headwall Nano. Metrics: spectral accuracy (using a calibrated monochromator), frame rate (using an FPGA timestamp), and power draw (Keysight N6705B).
The Shinki-236 uses a CMOSIS CMV20000 sensor with a custom filter array. The 236 spectral bands are distributed non-uniformly: 80 bands in the blue (400–475 nm), 76 in green (475–600 nm), and 80 in red/NIR (600–1000 nm). Data output is via USB 3.2 or GMSL2.
Shinki-236, multispectral sensing, autonomous navigation, embedded vision
The Shinki-236 was developed to address size, weight, and power (SWaP) constraints in small UAVs. Previous sensors (e.g., Shinki-120, Shinki-180) lacked sufficient channel density for material classification. Section 2 describes the hardware architecture. Section 3 details the test methodology. Section 4 presents results. Section 5 concludes.
[1] Shinki Corp. (2025). Shinki-236 datasheet, v2.1. [2] … Please reply with clarification so I can give you an accurate and useful paper draft. If this is for a real publication, I strongly advise checking the correct document number with your source.
We compared the Shinki-236 against a Specim IQ and a Headwall Nano. Metrics: spectral accuracy (using a calibrated monochromator), frame rate (using an FPGA timestamp), and power draw (Keysight N6705B).