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Lambda Hyperspectral Imaging System
- Product Description
- Parameter Introduction
- Precautions
-
Product Performance
Instrument model
Lambda-VN
Lambda-VNS
Lambda-Nir
Spectral range
420–1000 nm
420–1000 nm
1150~1650 ±5 nm
Spectral resolution
10nm
10nm
20nm
Number of spectral channels
>100
>100
32/64
Standard lens
Focal length (mm)
25 (other focal lengths available*1)
25 (other focal lengths available*1)
35 (other focal lengths available *2)
Working distance (mm)
150 to infinity
150 to infinity
300 to ∞
Field of view
19°
23°
15.6°
Probe
2048×2048 CMOS
2048×2048 CMOS
640×512 InGaAs FPA
Number of pixels (spatial dimension × scanning dimension)
1600×1200 (1X)
800×600 (2X)1600×1200 (1X)
800×600 (2X)640×512
Pixel size
5.5 × 5.5 μm
6.5×6.5 μm
15×15 μm
Digital output
10bit
12bit
14bit
Frame rate
28 μs – 1 s
10 μs – 10 s
10 μs – 1 s
Built-in computer interface
USB3.0 + HDMI
USB3.0 + HDMI
USB3.0 + HDMI
Lens mount
C-Mount
C-Mount
C-Mount
System power
DC 16.8V
DC 16.8V
DC 16.8V
Built-in microprocessor
i7 processor, 16GB RAM, 256GB SSD
i7 processor, 16GB RAM, 256GB SSD
i7 processor, 16GB RAM, 256GB SSD
Built-in battery
65Wh
65Wh
65Wh
System power consumption
45W
60W
60W
Note:
*¹: 16mm, 35mm, 50mm; other options available upon inquiry.
*²: 9mm, 15mm, 22mm, 56mm; other sizes available upon inquiry.
Camera features
Lens integration It can be directly integrated with imaging lenses or microscopes that have standard C-mount interfaces, enabling rapid acquisition of spectral images (mapping).
Automatic collection Supports automatic exposure, automatic scan speed matching, and automatic data acquisition and storage.
Real-time calibration and model computation Includes over 25 index models for water bodies, vegetation, and more, supporting real-time data calibration and model computation.
Auxiliary monitoring Equipped with an auxiliary viewfinder camera for real-time monitoring of the shooting area;
Built-in power supply Built-in battery, supports standalone operation;
Data correction function Supports radiance correction, reflectance correction, regional correction, lens calibration, and uniformity calibration.
Lens compatibility The lens can be flexibly replaced;
Software compatibility : The data format is perfectly compatible with professional analysis software such as Envi and SpecSight.
Spectral Matching Search Supports real-time spectral matching search functionality for targets;
Wireless remote control Built-in WiFi supports wireless remote control operation via Android smartphones, iPads, and iPhones;
Remote transmission Gigabit Ethernet interface, supporting long-distance image transmission and remote control operation.
Application Cases
Outdoor Crop Growth Monitoring
It can be applied to monitor the growth status of crops, such as their nitrogen content, chlorophyll levels, and biomass. It can also be used to detect crop diseases and assess soil fertility, thereby providing technical support for precision agriculture management.
Spectral reflectance curves of crops under different nitrogen treatments
Real-time monitoring of river water quality conditions
It is applied to the real-time detection of over ten water quality parameters, including total phosphorus, total nitrogen, chlorophyll a, suspended solids, pH, chemical oxygen demand, ammonia nitrogen, dissolved oxygen, and others.
Real-time monitoring of water quality parameters
Plastic sorting
Suitable for sorting various types of plastics, such as PE, PP, PS, PC, PA, PU, PEL, PVC, POM, and ABS.
Plastic Type Sorting
Counterfeit and Genuine Banknote Identification
It can be applied to acquire hyperspectral images of banknotes, using spectral analysis and texture analysis methods to identify the authenticity of banknotes.
Counterfeit and Genuine Banknote Identification
Tree species identification and growth status
Leaves from different tree species were collected and placed in an indoor dark-box system. Hyperspectral imaging data were acquired using the Lambda hyperspectral imaging system. By employing spectral analysis and texture analysis methods, we distinguished leaves of different tree species and analyzed the spatial distribution of agronomic indicators on these leaves.
Identification of Leaf Species and Monitoring of Biomass and Leaf Nitrogen Content
Fruit and vegetable sorting
Applied to the identification of black and white spots on fruits, bruise damage, fruit ripeness assessment, and sugar content detection.
Quickly identify damaged areas of fruit
Biomedical
Applied to tongue coating detection, wisdom tooth examination, skin detection, and mole identification.
The distribution maps of tongue coating moisture content for patients K0074, K0082, and K0090, respectively.
K0074 has a high moisture content and excessive salivation. This suggests that the patient is not mentally stable, which is one of the manifestations of chronic kidney disease.
Facial Mole Recognition
Tobacco Leaf Variety and Impurity Identification
Detection of biochemical components in tobacco, identification of tobacco varieties, and recognition of impurities in tobacco.
Tobacco leaf biochemical composition, tobacco leaf variety identification, and impurity detection
Application areas
1. Outdoor crop growth monitoring
2. Real-time monitoring of river water quality conditions
3. Plastic Sorting
4. Genuine and counterfeit banknote identification
5. Tree species identification and growth condition
6. Fruit and vegetable sorting
7. Biomedicine
8. Identification of tobacco leaf types and impurities
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Champion Optics is a high-tech enterprise integrating the research and development of optical thin films, the development of new spectral instruments, and spectral image processing and application.
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