Name: iSpecHyper-HH Handheld Hyperspectral Camera
Brand: LiSen Optics

The iSpecHyper-HH handheld hyperspectral camera captures a complete 380–980 nm hyperspectral image in a single exposure, recording spectral information at every pixel. Its proprietary CMOS-based sensor combines spectral modulation with optical-to-electrical conversion to reduce optical complexity and improve system consistency and reliability.

Snapshot acquisition, real-time spectral analysis, and a handheld design support field measurements, research, and inspection workflows.

Key Features

Real-time spectral imaging: capture raw hyperspectral data and RGB images while displaying point spectra in real time.
Spectral analysis: use band math, k-means clustering, mean, median, and Gaussian filtering, SAM classification, CIE L*a*b* output, and illuminance and irradiance calculations.
40+ spectral indices: work with NDVI, SR, EVI, ARVI, NDVI750, and other indices, with direct photosynthetically active radiation (PAR) output.
Extensible algorithms: support application-specific models, including tobacco-leaf maturity assessment.
Flexible export: export ENVI-compatible data at selectable 0.5 MP or 2 MP spatial resolution.
Aerial survey acquisition: use timed and fixed-point scanning with automatic data storage.
Environmental data: synchronize GPS coordinates with real-time temperature and humidity measurements.

Product Views

Low rear view of the iSpecHyper-HH showing its grip, enclosure, and wrist strap — Rear and Base View

Angled rear view of the iSpecHyper-HH with lens, grip, and side interfaces — Rear Angle View

Rear view of the iSpecHyper-HH showing its lens, grip, and ventilation slots — Rear View

Hardware Architecture

The camera hardware links the image sensor, camera driver board, and main control board for data acquisition and processing.

iSpecHyper-HH hardware diagram linking the image sensor, camera driver board, and main control board — iSpecHyper-HH Hardware Block Diagram

Technical Specifications

Technical Specifications
Parameter	iSpecHyper-HH
Product Image
Spectral Range	380–980 nm
Spectral Bandwidth	20 nm (user configurable)
Detector	CMOS
Detector Format	1/5 in.
Pixel Size	1.75 μm × 1.75 μm
Imaging Mode	Snapshot
Spectral Channels	31
Spatial Resolution	800 × 600; 1600 × 1200
Field of View (FOV)	71° (H) × 56° (V) × 83° (D)
Maximum Frame Rate	30 fps
Online Modeling Frame Rate	0.1 fps
Pixel Depth	10-bit
Data Interface	USB 3.0
Power Input	DC 12 V / 1 A
Operating Temperature	-10 to 40 °C
Storage Temperature	-20 to 65 °C
Weight	1,000 g
Dimensions	186 mm (L) × 97 mm (W) × 113 mm (H)

Dimensions

iSpecHyper-HH dimensional drawing showing 186 mm length, 97 mm width, and 113 mm height — iSpecHyper-HH Dimensions in Millimeters

Software Interface

LiSen Optics processing software runs on Windows and supports CPU- and GPU-based processing. It produces RGB images, 31-band multispectral images, and luminance images, and retrieves the spectrum of any selected pixel.

The maximum camera frame rate is 30 fps. The specified online modeling frame rate is 0.1 fps.

Windows software showing an apple RGB image and the spectrum of a selected point — RGB Image and Point Spectrum

Software interface showing image segmentation, k-means, and vegetation index analysis — Spectral Analysis and Image Segmentation

Typical Applications

Computers illustrating consumer electronics applications — Consumer Electronics

An eye and digital pattern illustrating machine vision — Machine Vision

Industrial equipment illustrating in-line inspection applications — Industrial In-Line Inspection

Plant growing in soil illustrating agriculture, forestry, and soil analysis — Agriculture, Forestry, and Soil Analysis

Flowing water illustrating water, climate, and ecological research — Water, Climate, and Ecological Research

Application Examples

Camera spectral range: 380–980 nm. Some application figures below illustrate hyperspectral research over wider wavelength ranges, including thermal and SWIR examples.

Agriculture and Forestry

Hyperspectral analysis can monitor crop growth indicators such as nitrogen content, chlorophyll, and biomass, along with crop disease and soil fertility, to support precision-agriculture management.

Combining hyperspectral and texture features of leaves from different tree species helps distinguish species and characterize the spatial distribution of leaf agronomic indicators. These measurements provide reference data for aerial tree-species classification.

Forest landscape illustrating hyperspectral research in tree species and crop condition — Agriculture and Forestry Research

Reflectance spectra of healthy, dying, recently dead, and six-month-dead pine samples — Pine Wilt Disease Monitoring
Research example; the plotted wavelength range extends beyond the camera’s specified 380–980 nm range.

Thermal and hyperspectral images, temperature histogram, and spectra of Alternaria-inoculated rapeseed leaves — Hyperspectral Images and Spectra of Alternaria-Inoculated Rapeseed Leaves
Research example includes thermal and SWIR data; the iSpecHyper-HH spectral range is 380–980 nm.

Fruit and Vegetable Quality

Hyperspectral imaging supports quality assessment and the removal of low-quality fruit and vegetables. It can evaluate moisture, sugar, and vitamin content and identify defects caused by bruising, insect damage, and cold-storage injury.

Pesticide fluorescence spectra for leafy vegetable samples at concentrations from 0.5 to 16 mg per kilogram — Pesticide Fluorescence Spectra at Different Concentrations
Research example; plotted wavelengths extend beyond 980 nm.

Surface reflectance spectra of residue-free spinach leaves and leaves with different pesticide residues — Spinach Leaf Spectra with Different Pesticide Residues
Research example covers wavelengths beyond the camera’s specified 380–980 nm range.

Water-Quality Monitoring

Hyperspectral analysis supports real-time monitoring of more than 10 water-quality parameters, including total phosphorus, total nitrogen, chlorophyll a, suspended solids, pH, chemical oxygen demand (COD), ammonia nitrogen, and dissolved oxygen.

Water-quality maps of chlorophyll a, biochemical oxygen demand, dissolved oxygen, and dissolved matter concentration — Water-Quality Parameter Maps

Water-quality maps of suspended solids, total phosphorus and nitrogen, phycocyanin concentration, and turbidity — Aquatic Environmental Monitoring

Skin Burn Assessment Research

Hyperspectral imaging can map burn severity across different skin regions, providing imaging data to support burn-severity assessment.

Research figure showing spectral indices and skin burn severity classes — Skin Burn Severity Assessment Research

Tobacco Analysis

In tobacco processing, hyperspectral imaging can classify cut-tobacco types, evaluate biochemical composition, and identify foreign materials from their spectral information.

Hyperspectral parameter maps illustrating tobacco composition analysis — Tobacco Composition Analysis

Color-coded hyperspectral maps illustrating cut-tobacco type classification — Tobacco Type Classification

RGB and classification images illustrating foreign-material detection in tobacco — Foreign-Material Detection in Tobacco

Industrial Plastic Sorting

Integrated with a controlled-light enclosure, hyperspectral imaging can sort industrial plastics including PE, PP, PS, PC, PA, PU, PET, PVC, POM, and ABS.