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Shanghai Jiaruice Electronic Technology Co., Ltd

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    6th Floor, Building 6, No. 2511 Huancheng West Road, Nanqiao Town, Fengxian District, Shanghai

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hyperspectral camera

NegotiableUpdate on 05/06
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Overview

Hyperspectral camera spatial pixel count and pixel size: The spatial pixel count is 640 and the pixel size is 15um. Imaging speed: The full spectrum acquisition speed can reach 579FPS, with band selection (ROI) function, and the highest ROI mode can reach 1800Hz, which can meet the requirements of fast detection. $r $n detector: using InGaAs detector, suitable for high-sensitivity detection in the short wave infrared band.

Product Details


高光谱相机

  • hyperspectral cameraspectral rangeThe spectral range is 900-1700nm, belonging to the shortwave infrared region, which can be used for component recognition, substance identification, machine vision, agricultural product quality inspection, screen detection and other fields.

  • hyperspectral cameraSpectral methodAdopting the transmission grating splitting method.

  • Spectral bands and resolutionIt has 512 spectral channels with a spectral resolution of 6nm. By changing the slit size, higher spectral resolution can be achieved, but it will affect the signal strength.

  • Number of spatial pixels and pixel sizeThe spatial pixel count is 640 and the pixel size is 15um.

  • Imaging speedThe full spectrum acquisition speed can reach 579FPS, with band selection (ROI) function. In ROI mode, the highest frequency can reach 1800Hz, which can meet the requirements of fast detection.

  • detectorUsing InGaAs detector, suitable for high-sensitivity detection in the short wave infrared band.

  • Camera output and interfaceThe camera output is USB 3.0 interface, which is convenient for connecting with computers and other devices for data transmission and control. The camera interface is C-Mount, which can adapt to various lenses.

  • optical designThe optical design with high transmittance has elevated the near-infrared detection capability to a higher standard.

  • application fieldWidely used in fields such as ingredient recognition, substance identification, machine vision, agricultural product quality, screen inspection, etc. For example, it can be used to detect the internal quality characteristics of agricultural products, such as the sugar content and internal defects of fruits; In machine vision, it can be used for more accurate recognition and classification of objects; In screen inspection, it can detect the optical performance and defects of the screen.