AQ600 (5-bands) Multispectral Camera

Product Features

• 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)
• Compatible with multiple types of rotor and fixed-wing UAV platforms | Carrying platform: Small multi-rotor UAV or Fixed wing UAV

Technical Specifications

• 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
• Number of Quantization Bits: Multispectral 12bit | RGB 8bit
• Field Of View (FOV): 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 Channel: 450nm@30nm, 555nm@27nm, 660nm@22nm, 720nm@10nm, 840nm@30nm, RGB
• Optical Window: Sapphire optical glass window
• Host Size (LxWxH): ≤80mm×80mm×78mm
• Host Weight: ≤415g
• Installation Interface: 8×M3
• Powered by: 12V (please contact us for power supply with other voltages)
• Power Consumption: ≤16W@12V
• Image Format: Multispectral – 16bit original TIFF & 8bit reflectance JPEG | RGB – 8bit JPEG (including GPS, ambient light information)
• Video Format: MP4
• Storage Media: Standard configuration 128GB, supports up to 2TB USB3.1 storage device
• Processing Software: Yusense Map/Yusense Map Plus
• Parameter Settings: Wi-Fi (WEB interface access) / Ethernet / UART
• Shooting Trigger: External trigger, timing trigger, overlap rate trigger, cascade trigger
• Shooting Frequency: Photo mode – 1Hz (related to the actual reading and writing speed of the storage medium) | Video mode – 20Hz
• Working Temperature: -10℃ to +50℃ (relative wind speed ≥1m/s)
• Storage Environment Temperature: -30℃ to +70℃
• Environment Humidity: RH(%) ≤ 85%(non-condensation)
• Certified Product: CE, FCC, RoHS

Applications

• Precision agriculture: Assess crop health, detect pests and diseases, optimize resource usage.
• Forestry monitoring: Monitor tree health, detect deforestation, manage forest resources.
• Environmental monitoring: Track water quality, monitor pollution, assess land cover changes.
• Target recognition: Identify objects and materials based on their unique spectral signatures.

Overall, the Yusense AQ600 is a powerful and versatile multispectral camera solution for professionals seeking to leverage advanced spectral data capture for various applications in agriculture, forestry, environmental monitoring, and beyond.

 

Applications

Vegetation growth assessment

Using NDVI, LAI and other vegetation factors, we quantitatively describe the consistency of the vegetation canopy state at different spatial scales, assist the characteristic spectra of vegetation in different health states, quantitatively assess the vegetation’s longevity, and provide data support for irrigation, fertilizer application, plant protection, and yield assessment.

Monitoring of black-odor water bodies

With reference to the evaluation standard of surface black smelly water bodies, we use characteristic spectra to construct classification indexes, realize graded inversion and spatial information statistics of black smelly water bodies, assist in analyzing the impact of domestic sewage and industrial wastewater on the surrounding water bodies, and help in the investigation of pollution sources and assessment of the water environment.

Coverage Assessment

Based on the fingerprint spectrum of vegetation to construct vegetation index, complete the spatial distribution and area statistics of the target vegetation in the designated area, and provide quantitative data on vegetation cover for scientific research and production in agriculture, forestry and grassland, ecology and other fields.

Monitoring of pine discolored standing trees

Comprehensively utilizing spectral and texture information to realize efficient suppression of environmental backgrounds such as soil, dead grass and high-precision identification of discolored standing trees, accurately extracting information on the location, spatial distribution and canopy area of the discolored standing trees, and providing data support for the management of infected trees.