Industries & Applications

Machine Vision systems for Multiple Applications

Computer vision is applied to a wide range of end-use applications. Qtechnology’s portfolio of modular cameras is applied in vision solutions within different industries – including Food & Beverages; Manufacturing; Medical & Scientific Research; and Sports & Entertainment.

Within these industries, the vision technology is exploited in a broad range of possible applications – including object categorisation; measurement (height, width, depth, and mass); sorting & grading; visual inspection; guidance & navigation; mechanical diagnostics; and more.

Contact us to discuss how machine vision enables you to improve your business through efficiency, accuracy, and productivity. All you need to do is explain to us your vision challenges – and we will find the best OEM solution for your needs!

Machine Vision Applications

Below are some examples of industrial applications in which Qtechnology cameras are used:

  • Sorting & Grading: High throughput machines for product sorting in several classes, based on quality and size.
  • Quality Control & Visual Inspection: High-speed checkpoints for visual quality control, product leak detection and flow control.
  • 3D Measuring: Agricultural product 3D profiling used for product mixing and product stock awareness.
  • Product Mixing: Part counting and mixing for bagging of individual or mixed products.
  • Particle Analysis: Analysing micrometre particle inflow to measure the particle count and sizes, to determine the amount of contamination of the production process.
  • Product Safety: Bacteria detection and clarification.

Vision & Quality Control

Rising requirements to quality are a constant challenge for vision system and machine manufactures.

  • Quality and Quantity: It is important to ensure uniform quality and high speed in the process lines of more and more different products.
  • Agricultural Products: Quality can vary from the visual impression to shape and ripeness of products. In this regard, we make vision systems comply with products in all kinds of sizes and shapes.

  • Quality-Control Applications: Depending on the product running a machine or production line, the effectiveness in switching between products and/or quality parameters can be an important parameter.

Machine Throughput & Transfer Time

Why are embedded cameras smart for industrial automation and optical sorting?

In high throughput machinery and production lines, where several images of products are needed to classify size, quality, etc., a camera with a high frame count and instant image processing is an essential requirement. This keeps the throughput up and the footprint of the machine down.

The time spent in sending data around in a machine starts to matter because the product will move quite far and must be tracked until a decision is made, regarding what needs to happen to the product.

For instance, imagine products moving with 0.3m/s, 40 (8Mpx) images are taken of the product as it rotates over a distance of 1m FOV (field of view) to get images of the entire surface of it.

Using Gigabit Ethernet (approx. 100Mbyte/s) the maximum fps would be approx. 12.5 fps (100Mbyte/ 8Mbyte), before the product leaves the camera view. To obtain the required 40 images, the machine would, therefore, need to be slowed down to less than 0.1m/s

Potato grading, sorting , machine vision, Optical grading, industry 4.0, industrial inspection, quality control, AI
Optical sorting, machine vision, Qtechnology, Newtec, Qtec, smart camera, industry 4.0, smart manufacturing, Machine vision, AI, neural network, deep learning

Another issue with latency due to transfer time is that the product will need to be tracked over longer distances, which is especially difficult when products need to be separated in several steps after each other.

Thus, for the case of the Newtec Celox-P-UHD potato grading machine, using 3 Qtechnology cameras to grade potatoes. Simultaneously, at a throughput of up to 30 tons/hour, 13 categories of products can be sorted out.