Projects

VisionUnit allows Variable Focus Adjustment in the Tightest of Spaces

Cognex In-Sight based VisionUnits by senswork

Camera systems with telecentric lenses and the corresponding working distance are often too long to be integrated into a machine without space problems. No problem with the Cognex In-Sight based VisionUnit from senswork.

Reading Scriptures using Deep Learning

Reading the Best Before Date on Yogurt Cups

Reading best-before dates on yoghurt pots is a challenge for classic image processing systems, as the writing on a curved background is often distorted and varies in size and contrast. With the help of deep learning, letters and numbers can be read reliably in different light and background conditions.

Volume determination by means of laser triangulation

Volume Determination in the Food Industry

Volume determination on the production line plays a major role in the food industry. It must be ensured that exactly as much product is packed as is printed on the packaging. With our 3D multi-sensor system ZScan, we can scan cut-to-size or block-format goods such as meat, fish or cheese without shadows and thus determine the exact quantity.

Line scan camera system ensures cleaning performance of membrane tubes

Inspection System for Membrane Tubes

Membrane tubes are the core component of an innovative filter technology for wastewater treatment plants. To ensure that these tubes are flawless and that the cleaning performance of the plants runs optimally, a line scan camera system from senswork inspects the surfaces of the membrane tubes for a wide variety of production defects.

Camera system detects scratches on screw cap closures of soup glasses

All-Round View of the Screw Cap in a Picture

In order to check the quality of screw caps on filled soup glasses after filling, senswork now offers a 360 ° camera inspection system, which allows a view of the surface of the cap in a picture through a specially developed mirror deflection. With up to 6 glasses per second, the quality of the lid surface is ensured and checked for damage and freedom from scratches.

High-speed barcode scanners for labeling bottles and glasses

Reading barcodes on bottles

In a labeling machine, the product labels are applied with up to 20 applications per second. An incorrectly inserted type of label or incorrectly applied labels can mean recalling entire batches or laborious re-labeling as long as the error is noticed in good time. Barcode scanning systems provide a remedy here: Our barcode technology based on Cognex Dataman reads up to 20 barcodes per second effortlessly and with absolute reliability.

Detailed picture documentation of products

Image Documentation System with Barcode Scanner

The image documentation system records products in resolutions of up to 25 megapixels and allows products to be identified with an optionally available barcode scanner. An automatic exposure time control ensures that the image quality is always constant. A scripting plug-in also enables user-specific actions to be carried out after the image has been taken.

Location Detection and Completeness Confirmation using Deep Learning

Praline Box Inspection

Chocolate is difficult to describe completely with a rule-based algorithm, since no two chocolates are identical. The individual chocolates have a high natural range of variation.

Font Reading for Transparent Packaging using Deep Learning

Reading the „best before“ date on beverage bottles

Varying opacity and bubbles in the liquid create a very inconsistent background in the bottle. The imprinted date and batch codes are difficult to recognize for ordinary image processing. ViDi Read can read letters accurately under a wide range of light and background conditions.

Optical Inspection using Deep Learning

Error Detection for Tortillas

An inhomogeneous topology, different shades and the changing shape of the tortilla make the detection of cracks or wrinkles extremely difficult. ViDi Detect can distinguish between tolerable deviations and defects by training on a reference set of approximately 100 different tortilla samples.