As large volumes of consumer packaged goods travel down the process line, defects in packaging can occur. Your business should consider using CCD/CMOS industrial cameras to identify visible defects, such as dents or punctures in packaging. High speed and high resolution requirements should be prioritized.
Sometimes leaks occur underneath the packaging of a product. InGaAs cameras can detect these hidden leaks under packaging. When leakage occurs, these defective products need to be sorted out and not go to market.
Sometimes containers traveling through the process line are not filled to proper standards. InGaAs cameras can also detect containers that have not been filled properly. A container that is not filled to standards should be sorted out and not go to market.
Visible wavelength image of a container.
Infrared image of a container, taken with C12741-03 InGaAs camera, shows proper filling.
Machine vision can also be used in the food sorting process to distinguish between items of similar shape and size, for example during coffee bean production processing. While in the drying process, coffee beans are placed on a tarp on the ground and are raked up and put into the hopper. During this raking process, rocks or gravel can easily get mixed in with the coffee beans. These stones need to be sorted out, so they don’t appear with the coffee beans in the final packaging. Stones mixed in with coffee, if they go unnoticed, present sanitary issues and can cause coffee grinders to break. Placing our cameras and detectors in strategic locations throughout the line will help identify materials based on their SWIR spectra, enabling distinction between coffee beans and stones.
Visible images of rocks & coffee beans, difficult to detect the difference.
Infrared image, taken with C12741-03 InGaAs camera, clearly identifies rocks.
For UV-VIS imaging used in food inspection, we offer a selection of CMOS (complementary metal oxide semiconductor) image sensors in linear and area arrays. Innovations in CMOS technology have made these image sensors easy to use because all essential signal processing circuits are formed on the sensor chip, and only simple input pulses and a single power supply are needed to operate them.
In addition to our selection of standard CMOS image sensors, we can customize products to suit specific requirements.
Our line of InGaAs array detectors (InGaAs image sensors) feature:
InGaAs linear image sensors are suitable for in-line sorting of agricultural products because of their high-speed line rate and high sensitivity. They are available in a variety of cutoff wavelengths, pixel counts, and line readout speeds. Most of our linear image sensors have a metal or ceramic package, but we also offer ones with a flexible plastic cable as a less expensive option.
InGaAs area image sensors are suitable for hyperspectral imaging. High-speed frame rate, low readout noise, and high sensitivity characterize these area arrays. They are available in various cutoff wavelengths, pixel arrays, and frame rates.
Our line of InGaAs cameras feature:
InGaAs cameras provide plug-and-play solutions using 1D InGaAs image sensors or 2D InGaAs image sensors. Also they are an easy solution for multispectral/ hyperspectral imaging cameras to be built based on the original camera.
We offer a broad selection of standard InGaAs products, but if they do not fit your requirements exactly, we can offer customized solutions.
These are suitable for UV-VIS measurement in food inspection applications. CMOS sensors designed for spectroscopy and those designed for high-speed, in-line scanning are available.
Designed to be integrated into cameras, these CMOS area arrays offer imaging capability across a wide spectral range from UV to NIR.
Their sensitivity and fast speed make these InGaAs linear image sensors appropriate for in-line sorting of food based on NIR and SWIR detection. For conveyor belt, in-line inspection, 40K lps.
Suitable for hyperspectral imaging, InGaAs area image sensors have high sensitivity and fast frame rates.
Suitable for plug-and-play solution with high sensitivity InGaAs image sensors built in.
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