Lynx SQ Series Short-Wave Infrared (SWIR) Linescan Imager

Specifications

Camera Type: Other, Industrial
Array Type: InGaAs
Spectral Band: 0.9 – 1.7 um
# Pixels (Height): 25
Pixel Pitch: 25 um
Array Cooling: Uncooled
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Features


  • Small, Uncooled InGaAs Line-Scan Camera with Square Pixels: Designed for compact and efficient SWIR imaging.

  • High Speed Line-Scan Imaging: Capable of imaging up to 40 kHz for fast data acquisition.

  • High Resolution Options: Available in 512, 1024, or 2048 square pixels to suit diverse imaging needs.

  • Industry Standard Interfaces: Features CameraLink Base or GigE Vision for command and control.

  • Flexible Optical Interface: Compatible with C-mount or M42, with an optional M42 to F-mount adapter.

  • Compact and Lightweight Design: Camera dimensions are 49 mm x 49 mm x 53 mm (CL) and 49 mm x 49 mm x 71 mm (GigE), with a weight of 153 gr (CL) and 208 gr (GigE).

  • Advanced Image Correction: Standard on-board image correction includes non-uniformity correction (NUC), bad pixel replacement (BPR), and gain control.

  • Power Efficient: Consumes 3.9 W (CL) and 6.3 W (GigE) with a power supply voltage of DC 12 V.

  • Wide Spectral Range: Operates within a spectral range of 900 - 1700 nm, ideal for various SWIR applications.

  • Versatile Detector Type: Utilizes an InGaAs photodiode array with CTIA ROIC for high-performance imaging.

  • Snapshot - Global Shutter Integration: Ensures precise and clear image capture without motion blur.

Applications


  • Industrial Process Monitoring: Use the camera for real-time monitoring and control of manufacturing processes, ensuring quality and efficiency.

  • Food and Agricultural Inspection: Detect foreign objects, contaminants, or quality variations in food products and agricultural produce.

  • Pharmaceutical Inspection: Ensure the integrity and quality of pharmaceutical products by detecting defects or inconsistencies.

  • Semiconductor Inspection: Perform detailed inspections of semiconductor wafers and components to identify defects or impurities.

  • Recycling and Waste Sorting: Enhance the sorting process by identifying and separating different materials based on their spectral characteristics.

  • Biomedical Imaging: Utilize the SWIR camera for non-invasive imaging applications in medical and research settings.

  • Art and Historical Document Analysis: Analyze and authenticate artworks and historical documents by revealing underlying features not visible to the naked eye.

  • Remote Sensing and Environmental Monitoring: Monitor vegetation, water bodies, and other environmental parameters using SWIR imaging.

  • Security and Surveillance: Enhance surveillance capabilities by detecting objects and activities in low-light or obscured conditions.

  • Scientific Research: Support various research applications requiring high-speed, high-resolution SWIR imaging.