Industrial Machine Vision


Customised Vision Applications for the Machine Vision Manufacturing Industry

We deliver cameras for multiple applications, including product inspection, mechanical part inspection, 3D modelling, other Machine vision manufacturing apps – the possibilities are endless.

Throughout the process of integrating vision systems in industrial machinery, we have obtained a vast knowledge of the challenges related to mechanical integration and the restrictions they often pose to the vision systems in a machine vision manufacturing environment.

Our camera units are often used in 24-7-365 production lines that are dependent on reliable products and support.

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Vision Application Cases

Surface Defects Inspection

Quality control, detecting scratches, object recognition, defect classification, throughput, AI, Smart cameras, computer vision

Technical Headlines

  • Light Settings
  • Object Recognition
  • Defect Classification
  • High Throughput

We have supplied a range of different camera systems for quality control that detects defects and track them in the production line. These defects could include bumps, dimples, scratches, holes contaminations (e.g. stains, particles or larger area defects), streaks, color errors, etc., on various surfaces (wood, rubber, metal, etc).

Our quality control camera systems with special lighting, determine surface defects on production lines with adjustable products and quality parameters. These systems often replace manual inspection on production lines to remove bottlenecks in the production.

Object Mixing Systems

We have developed an object mixing system for mixing of different products into predefined portions (e.g. nuts, bolts and washers of equal numbers into a bag).

We produced a complete machine with camera, light, vibration in-feed, conveyors, eject flaps, collection pan and buffer for mixing based on predefined parameters. This may be used to mix different parts into portions of mixed products. It could be bagging of multiple products into the same packages, such as bolts and nuts or corkscrews and seals.

Optical recognition, mixing system, machine vision, smart cameras

Technical Headlines

  • Mechanical Integration (Complete Machine Design)

  • Object Recognition

  • Multi Conveyor System with Vibration Feeder and Conveyor Belt

  • EtherCAT Protocol

Quality Control of Mink Fur

Technical Headlines

  • Hyperspectral Imaging

  • PCA Classification
  • Color Classification

A research project to determine the ability to classify mink furs by color and purity, using hyperspectral imaging technology.

The purity of mink fur is graded based on the red-to-blue ratio of the wool and the color is determined from the darkness of the hairs. I.e. with brown furs there are at least 7 colors and 5 purities, which tantamount to a minimum of 35 classes for brown furs.

Counterfeit Money Detection

To detect counterfeit money, we have developed a vision system that is detecting if bills are real or counterfeit using a hyperspectral camera. By analysing images of a range of different currencies, we can detect whether the ink used on the bills matches the ink from the money printing industry or not.

The counterfeit application was made for demonstration purposes and is yet to be implemented in real-life applications. However, it is a great example of how easy an application can be developed and deployed as a stand-alone application using our modular and scalable smart cameras and vision software.

Our vision technology may also be used in applications for high scale, multiple currency money sorting and counting and automation of other processes within the finance industry.

Counterfeit money detection, hyper imaging smart camera, computer vision, Near-Infrared Imaging

Technical Headlines

  • Near-Infrared Imaging
  • Qt User Interface

Optical Character Recognition

1D barcodes, OCR, barcode reading, label text,

Technical Headlines

  • Light Settings (Avoiding Specular Reflections)
  • Mechanical Presentation of Barcodes to Camera

To determine the possibility to read bar codes and labels, we have exploited our smart camera technology to develop 1D barcodes and OCR. Using the right resolution, we developed the technology required to recognise the barcode and label text in a product.

The potato bags used for testing of the system had barcodes varying in width between 32 and 37mm. However, the test system, with a 16mm lens, was able to decode letters with at least 9mm of height (15pxs) and a 25mm lens was able to decode letters with at least 4mm of height (11pxs).

Another benefit of this system, compared to “pure” barcode readers, is that barcodes that cannot be fully discovered by one camera might still be detected by shared information between cameras.

3D Bulk Measuring System

Our Scout, a 3D Bulk measuring system for potatoes on flat conveyors, offers potato growers or potato production a way to automatically measure the potatoes produced or the potatoes going into the production. This is used to measure potato produce going into storage or to estimate yield in production lines based on the product being fed into the production line.

The scout measure every single potato’s length, width, and height. This information can be used to estimate the yield for production lines of potato wedges, French fries, etc.

Bulk measuring, 3D measuring, Machine vision

Technical Headlines

  • 3D Measurement
  • High Throughput