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5P Universal Multispectral Camera Video-rate Multispectral Detection AQ600
5P Universal Multispectral Camera Video-rate Multispectral Detection AQ600
5P Universal Multispectral Camera Video-rate Multispectral Detection AQ600
5P Universal Multispectral Camera Video-rate Multispectral Detection AQ600
5P Universal Multispectral Camera Video-rate Multispectral Detection AQ600
5P Universal Multispectral Camera Video-rate Multispectral Detection AQ600
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AQ600 5B Multispectral Camera

Experience unparalleled precision with the AQ600, boasting 5 high-resolution 3.2MP multispectral channels and a 12.3MP RGB sensor. Featuring a sapphire optical window, wide aperture, low distortion, broadband transmission, and all-glass lens, this aluminum-bodied camera offers video-grade detection and output. Ideal for precision agriculture, forestry monitoring, river-lake ecology, target recogni
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Product Features

  • 5p multi-spectral & 1 RGB
  • 3.2 million & 12.3 million pixels
  • 12-bit global & 8-bit rolling shutter
  • Gigabit Ethernet port/TTL serial port
  • All channels synchronized imaging in 1 second
  • On-board real-time spectral inversion, video output
  • Standard downlink light sensor (DLS)
  • ≤16W@12V power supply, 128G solid-state USB flash drive
  • External, timing, overlap rate and other trigger modes
  • Compatible with various types of rotor and fixed-wing UAV Drones

 

Technical Parameter

  • Combination method:  5 multispectral channels + 1 RGB channel
  • Target size:   Multispectral: 1/1.8”; RGB: 1/2.3”
  • Effective pixels:   Multispectral: 3.2Mpx; RGB: 12.3Mpx
  • Shutter type:   Multispectral: global; RGB: rolling shutter
  • Quantization bit:   Multispectral: 12bit; RGB: 8bit
  • Field of view:    Multispectral: 48.8°×37.5°; RGB: 47.4°×36.4°
  • Ground resolution:    Multispectral: 5.28cm@h120m; RGB: 2.60cm@h120m
  • Coverage width:    Multispectral: 109m×82m@h120m; RGB: 106m×79m@h120m
  • Spectral channels[1]:    450nm@30nm, 555nm@27nm, 660nm@22nm, 720nm@10nm,840nm@30nm, RGB
  • Optical window:    Sapphire optical glass window
  • Host size: ≤80mm×80mm×78mm
  • Host weight:   ≤415g
  • Mounting interface:    8×M3
  • Power supply:    12V (Please consult Yuchen marketing staff for other voltages)
  • Power consumption:    ≤16W@12V
  • Image format:    Multispectral: 16bit original TIFF & 8bit reflectivity JPEG; RGB: 8bit JPEG (including GPS, ambient light information)
  • Video format:   MP4
  • Storage medium:    USB3.1 storage device with standard 128G and maximum support of 2T
  • Processing software:    Yusense Map/Yusense Map Plus
  • Parameter setting:    WIFI (WEB interface)/Ethernet/UART
  • Shooting trigger:    External trigger, timing trigger, overlap rate trigger
  • Shooting frequency:    Photo mode: 1Hz (related to the actual read and write speed of the storage medium); Video mode: 20Hz
  • Working environment temperature:    -10℃~+50℃(Relative wind speed ≥1m/s)
  • Storage environment temperature:    -30℃~+70℃
  • Ambient humidity:    RH(%)≤85%(non-condensing)
  • Product certification:    CE, FCC, RoHS

 

Note: [1] Standard wavelengths allow customization of the following 18 wavelength combinations (please contact us for details on combination methods and costs): 410nm@35nm, 450nm@30nm, 490nm@25nm, 530nm@27nm, 555nm@27nm, 570nm@32nm, 610nm@30nm, 650nm@27nm, 660nm@22nm, 680nm@25nm, 720nm@10nm, 720nm@15nm (Qualcomm), 750nm@10nm, 780nm@13nm, 800nm@35nm, 840nm@30nm, 900nm@35nm, 940nm@30nm (tolerance ±5nm).

 

Typical application

Growth Assessment

Utilizing NDVI, LAI, and other vegetation indices, it quantitatively describes the uniformity of vegetation canopy status across various spatial scales. Coupled with the characteristic spectra of vegetation under different health states, it provides data support for quantitative growth assessments, aiding in irrigation, fertilization, pest control, and yield estimation.

Black and Odorous Water Monitoring

Referencing surface water quality standards for black and odorous water, it constructs classification indices using characteristic spectra to achieve hierarchical inversion and spatial information statistics. This aids in analyzing the impact of domestic and industrial wastewater on surrounding water bodies, supporting pollution source identification and water environment assessment.

Coverage Assessment

By constructing vegetation indices based on vegetation fingerprint spectra, it completes spatial distribution and area statistics of target vegetation within specified regions. This provides quantitative vegetation canopy closure data for research and production in agriculture, forestry, grasslands, and ecology.

Pine Tree Discoloration Monitoring

Efficiently suppressing environmental backgrounds such as soil and withered grass, and leveraging spectral and textural information, it achieves high-precision identification of discolored pine trees. It accurately extracts information on their location, spatial distribution, and canopy area, providing data support for epidemic tree management.