Our machine vision specialists can add valuable imaging expertise working with your engineering teams from feasibility to equipment selection and engineering support to apply vision enhance your systems or processes helping keep your food processing solutions best in class delivering your customers competitive advantage by increased profitability.
With over 30 years of experience across Europe STEMMER IMAGING have worked on hundreds of food and beverage applications. Here are some areas STEMMER IMAGING have worked on in the food and beverage industry:
Sorting & Grading
Maximise quality of bulk produce such as pulses and rice by removing contaminants while grading potatoes, fruit and meats ensures premium pricing for the the best.
Picking & Packing
Vision working in conjunction with robotics allows consistent packaging even where multiple products are mixed in any orientation and can ensure the best cut is always on top.
Reduce give away by using 3D vision technology to provide real time machine feedback when slicing or portioning products such as bacon, ham, cheese and sausages.
With supermarkets issuing fines for incorrectly labelled or printed products end of line packaging and label verification can have fast return on investment.
Ensuring fill levels are right, cap and seals are sound and PTFE bottles are not contaminated ensure customer confidence while detection of foreign bodies and stressed glass ensure safety.
Hyperspectral vision technology can detect life threatening food contamination in products such as poultry and fish while XRay can detect foreign objects in both fresh and processed foods.
In Store Analytics
Automatic identification of known criminals and suspicious behaviour through to visitor analysis including customer flow and promotion reactions as well as demographic focused in store advertising.
At the Checkout
With a move towards self service vision technology can assist in reducing fraud and easing the shoppers experience. Product recognition on weigh scales ensure the correct product is priced.