Guaranteeing product safety with optical measuring and testing technology
The food industry depends on safe and high-quality products. Machine Vision is used throughout the entire value chain and plays a crucial role in quality assurance. Intelligent machine vision systems can be used to fully automate the manufacturing process. Manufacturers in the food industry benefit from increased productivity and reduced costs. Optical measurement and inspection technology in the food industry must be hygienic, precise, fast and reliable. It should also be easy to integrate into existing production processes, offer a high level of detection capability for quality characteristics and foreign bodies, and meet strict regulatory requirements.
Optische Mess- und Prüftechnik in der Lebensmittelindustrie muss hygienisch, präzise, schnell und zuverlässig arbeiten. Außerdem sollte sie leicht in bestehende Produktionsprozesse integrierbar sein, eine hohe Erkennungsfähigkeit für Qualitätsmerkmale und Fremdkörper bieten und den strengen regulatorischen Anforderungen entsprechen.
New possibilities with Deep Learning
Determining nominal volume and allocation
Fill Quantity and VolumeDetermining volume directly in the production process is crucial in the food industry. It must be ensured that the packaged quantity matches the information on the packaging. With measuring systems for 3D inspection, we offer a reliable solution for scanning unpackaged or block-formatted goods such as meat, fish or cheese without shadowing. This ensures that each package contains the correct quantity.
Guarantee the integrity of food
Food-grade QualityThere are many different ways to use machine vision to inspect the quality of food: whether it's detecting rotten spots on fruit using SWIR cameras, detecting shape deviations in biscuits using 3D cameras coupled with our Neuralyze AI tool, or inspecting the quality of pizza dough for correct shape, cleanliness and thickness. The right combination of camera technology and software is the key to success. In particular, the use of AI-based tools is essential in today's world of food quality inspection.
Read the best-before date and ingredients
LabelingChecking the best-before date (BBD) or batch numbers is a key part of quality control in the food industry because it is crucial for product safety. In addition to date recognition, characteristics such as legibility, position and font are also checked to ensure that the BBD or batch number meet the standards. At senswork, we are increasingly utilizing AI tools in the field of optical character recognition (OCR). These make it possible to quickly and reliably recognize even complex and varying prints.
Check for correct arrangement and integrity
PackagingOur machine vision systems ensure that packaging is reliably inspected and delivered in perfect condition. Particularly when it comes to seal seam inspection, modern machine vision systems detect cracks, gaps or other irregularities in the seal. This prevents moisture from penetrating the packaging, which could affect the shelf life of the products. In addition, the systems enable the detection of deformations, dents or pressure marks to ensure that the packaging meets the highest quality standards. For automation in the field of end-of-line packaging, we offer advanced 3D camera solutions for the efficient depalletization of cartons.
Find out how AI-based machine vision ensures the sorting of pasta products in the food industry.
With the innovative camera system, you can detect scratches on screw caps of soup jars.
Deep Learning can be used to reliably read expiration dates on yogurt containers. AI enables reliable inspection.