Description

AQ600 is A professional multi-spectral camera for UAVs based on industry standards.It has five 3.2-megapixel multispectral channels and one 12.3-megapixel RGB channel. For its hardware features, it has sapphire optical window, large aperture, low distortion, broadband transmission, all-glass lens and an aluminum alloy camera housing.In addition, AQ600 can carry out video-level spectral remote sensing detection, transmit spectral remote sensing video and output results in real time, which provides new technical means for precision agriculture, forestry monitoring, river monitoring, ecological protection, target recognition and other industrial applications.

Features

• 5 multispectral & 1 RGB
• 3.2 million & 12.3 million pixels
• 12bit global & 8bit rolling shutter
• Gigabit network port/TTL serial port
• Simultaneous imaging of all channels in the fastest 1s
• On-board real-time spectral inversion, video output
• Standard Downlink Light Sensor (DLS)
• ≤16W@12V power supply, 128G solid state USB disk
• External, timing, overlap rate multiple trigger modes
• Compatible with multiple types of rotor and fixed-wing UAV platforms

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.