To optimize the performance of SWIR imaging applications, Chromasens has introduced a package that includes its allPIXA SWIR line scan camera and the Corona II dark field illumination system with short wave LEDs. As SWIR finds increasing use cases in machine vision for inspection, sorting, and quality control, as well as in surveillance and remote sensing, the new package from Chromasens represents a cost-effective, fully integrated solution.
Corona II Illumination Module
Light source selection is critical to achieve the successful differentiation of product features and the detection of defects in the SWIR band. Engineering for SWIR applications, the Corona II dark field illumination module offers a selection of LEDs in the dedicated wavelength in either 1100nm, 1350nm, 1450nm or 1550nm, reducing the need for software adjustments. This module also emits far less heat than standard halogen light sources often used with SWIR cameras, and lets machine builders avoid the hassles of X-ray technology, therefore eliminating X-ray costs, and the need to offer advanced protection to employees against radiation.
allPIXA SWIR Camera
The Corona II illumination system complements the recently introduced Chromasens allPIXA SWIR line scan camera. Available with either GigE Vision or CameraLink interfaces, the camera leverages an uncooled InGaAs sensor with 1k resolution and 12.5 μm pixel size for high resolution, high sensitivity, and a line rate of 40 kHz. On the front end, the allPIXA SWIR features a C-mount lens interface that allows customers to select from a myriad of commercial-off-the-shelf lens options, along with custom lens adapters on request. Both the CameraLink and GigE Vision versions of the camera have an internal Field-Programmable Gate Array (FPGA) that can be customized for pre-processing.
When combined with the new camera, the Corona II SWIR LED illumination system "sees the unseen" with amazing clarity — detecting defects or contaminants through glass or plastic bottles, observing moisture inside fruits and vegetables, identifying different chemicals by their light absorption, and recognizing various types of liquids on surfaces.
