AQ600 Pro (5-bands) Multispectral Camera

The Yusense AQ600 Pro is a professional multispectral camera designed for unmanned aerial vehicles (UAVs), specifically compatible with DJI M300 and M350 RTK drones. Yusense AQ600 Pro is a professional multispectral camera designed for drone-based applications across various industries, adhering to industry standards for quality and performance.

(Price on request)

Product features

5 multi-spectral & 1 RGB
3.2M & 12.3M pixels
12bit Global & 8bit Rolling Shutter
DJI X-Port control
Synchronized imaging of all channels in as little as 1s
Onboard real-time spectral inversion, video output
Standard downlink light sensor (DLS)
DJI X-Port power supply, 128G solid-state USB flash drive
Timing, overlap rate multiple trigger modes
DJI M300/M350 RTK drone customization, plug and play

Technical Specifications

The index name	AQ600 Pro
Band configuration	Five Multi-spectral bands and one RGB sensor
Target surface size	MS: 1/1.8″; RGB: 1/2.3″
Effective pixels	MS: 3.2Mpx; RGB: 12.3Mpx
Shutter type	Global shutter/Shutter
Quantitative figures	MS: 12bit; RGB: 8bit
Viewing Angle	MS: 48.8°×37.5°; RGB: 47.4°×36.4°
GSD	MS: 5.28cm@h120m; RGB: 2.60cm@h120m
Image size	MS 109m×82m@h120m; RGB: 106m×79m@h120m
Spectral band	450nm@35nm, 555nm@27nm,660nm@22nm, 720nm@10nm,840nm@30nm, RGB
Optical window	Sapphire optical window
Size	129mm×156mm×162mm
Weight	826g(Camera & DLS Pro & USB flash disk)
Installation interface	X-Port
Power supply mode	X-Port
Power consumption	10W/15W
Image format	MS:16bit original TIFF image & 8bit reflflectance JPG; RGB: 8bit JPG
Viedo format	MP4
Storage medium	Standard with 128GB,A maximum of 2TB is supported
Parameter setting	Yusense Fly / DJI Pilot
Picture mode	Aircraft trigger ,Overlap trigger
Frequency of taking pictures	Picture mode:1Hz, Video mode:20Hz
Operating ambient temperature	-10ºC~+50ºC(Relative wind speed≥1m/s)
Storage Environment Temperature	-30ºC~+70ºC
Environmental humidity	RH(%)≤85%(Non condensation)
Product certification	CE,FCC,RoHS

Application

Condition monitoring

By using vegetation factors such as NDVI and LAI, quantifying the consistency of vegetation canopy status at different spatial scales, and using characteristic spectra of vegetation in different health states to quantitatively assess vegetation growth,which can provide data support for irrigation, fertilization, plant protection, yield evaluation and other work.

Discolored pine monitoring

Using spectrum and texture information to achieve efficient suppression of the environmental background of soil, withered grass and other objects and high-precision identification of color-change pine. By accurately extracting the location, spatial distribution and canopy area of color-changing pine trees, we can provide data support for the management of diseased trees.

Black and smelly water monitoring

By referring to the evaluation standard of surface black and smelly water, using the characteristic spectrum of black and smelly water to construct the classification index to achieve black and smelly water classification inversion and spatial information statistics. This technology can assist in analyzing the influence of domestic sewage and industrial wastewater on surrounding water, and finally help pollution source investigation and water environment assessment.