The SOC710 Series Hyperspectral Cameras from Surface Optics Corporation combine exceptional spectral performance, flexible deployment options, and advanced imaging technology to deliver actionable spectral data across hundreds of wavelength bands. Designed for researchers, scientists, integrators, and industrial users, the SOC710 platform enables precise material identification, classification, and analysis across the visible and near-infrared (VNIR) spectrum.
Available in both the compact 710-HyCore and the versatile 710-OmniCore configurations, the SOC710 Series delivers up to 784 spectral channels, 1500 spatial channels, and industry-leading 1.65 nm spectral resolution for demanding hyperspectral imaging applications.
The SOC710 Series is engineered to help users detect subtle spectral differences that conventional imaging systems cannot see. Covering the 375-1025 nm spectral range with 784 spectral channels, these hyperspectral cameras reveal detailed material signatures for identification, measurement, and analysis. The platform combines proprietary optics, sensor technology, and spectrograph design to deliver exceptional image quality without relying on aggressive spectral binning.
Whether deployed in a laboratory, integrated into a machine vision system, mounted on a microscope, or used for field data collection, the SOC710 Series provides the flexibility, accuracy, and reliability required for advanced spectral imaging workflows.
| Parameter | Value |
|---|---|
| Optical & Spectral | |
| Spectral Range | 375 – 1025 nm |
| Spectral Channels | 784 |
| Spectral Resolution (FWHM) | 1.65 nm |
| Spectral Sampling / Pixel | 0.83 nm |
| Smile | < 0.5 pixels |
| Keystone | < 0.1 pixels |
| Slit Length | 9 mm |
| Light Transmission | ~90% (400 – 1000 nm) |
| Sensor & Imaging | |
| Spatial Channels | 1500 |
| RMS Spot Size | 6.95 microns |
| Pixel Size | 5.86 microns |
| Sensor Type / Materials | CMOS |
| Pixel Well Depth / Full Well Capacity | 32,000e⁻ |
| Pixel Operability | > 99% |
| Performance | |
| Max Frame Rate (fps) — Full Frame | 167 |
| Max Frame Rate (fps) — 640 × 480 | 398.2 |
| Integration Time | 0.019 ms – 120 s |
| Bit Depth | 8-bit or 12-bit |
| Dynamic Range | 72 dB |
| Noise Floor | 1.44 counts |
| Peak SNR @ 1× Binning | 157 |
| Peak SNR @ 2× Binning | 222 |
| Spectral Binning: Default / Options | 1 / 2, 4 |
| Spatial Binning: Default / Options | 1 / 2, 4 |
| Hardware | |
| Objective Lens Mount | C-mount |
| Shutter | Global |
| Sensor Cooling | Passive |
| Connectors | USB 3.0 Micro-B |
| Data Format | ENVI |
| Physical — HyCore VNIR | |
| Weight | 270 g |
| Weight with Lens | 350 g |
| Dimensions (L × W × H) | 2.9″ × 3.6″ × 1.7″ |
| Physical — OmniCore VNIR | |
| Weight | 2.04 kg |
| Weight with Lens | 2.84 kg |
| Dimensions (L × W × H) | 7.02″ × 6.14″ × 3.23″ |
| Environmental & Power | |
| Operating Temperature | 0 – 50°C |
| Optics / Storage Temperature | -25°C – 70°C |
| Power Input / Consumption | 5V DC / 3.2 – 4.0 W |
| Computer Requirements | |
| Operating System | Windows 10 or newer |
| Processor | Intel/AMD 64-bit (minimum 6 cores) |
| RAM | 32 GB |
| Storage | 512 GB SSD |
| Connectivity | Minimum one USB 3.0 (SuperSpeed) port |
The SOC710 Series enables precise spectral analysis across scientific, industrial, and environmental applications where traditional imaging systems lack the spectral detail required for accurate material identification.
Precision Agriculture: Monitor crop health, detect plant stress, assess nutrient deficiencies, identify diseases, and optimize agricultural productivity using detailed spectral signatures.
Environmental Monitoring: Measure vegetation health, monitor ecosystems, detect pollutants, analyze water quality, and support environmental research initiatives.
Geological & Mineral Exploration: Differentiate minerals, map geological formations, identify material composition, and improve exploration efficiency with high-resolution spectral data.
Biomedical & Life Science Research: Support tissue imaging, cell biology research, pathology studies, and biomedical investigations through non-destructive spectral analysis.
Industrial Inspection & Quality Control: Identify contaminants, verify materials, inspect manufacturing processes, and improve product quality with advanced hyperspectral machine vision capabilities.
Art Conservation & Cultural Heritage: Reveal hidden details, identify pigments and materials, document artwork condition, and support conservation and archaeological research.
Forestry & Vegetation Mapping: Assess forest health, monitor vegetation changes, classify species, and conduct ecological studies over large areas.
Scientific Research & OEM Integration: Integrate hyperspectral imaging into custom systems, research platforms, laboratory workflows, and automated inspection solutions using the supplied SDK and software tools.
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