Industries & Applications
Computer Vision Solutions Across Industries
Industrial computer vision cover a wide range of different applications. Qtechnology’s camera portfolio features smart cameras for applications within different industries, including Food & Beverages, Manufacturing, Medical & Scientific Research, and Sports & Entertainment.
Our computer vision technology can be exploited in a broad range of possible applications, including, but not limited to: object categorization, measurement (height, width, depth, mass), sorting & grading, visual inspection, guidance & navigation, mechanical diagnostics, and character Recognition.
Computer 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 solutions to fit your needs!
Rising demands on production speeds and requirements to quality are a constant challenge for machine builders.
- Food Producers: 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, making vision systems comply with this for products in all kinds of sizes and shapes is a big challenge.
- Quality-Control Applications: An important parameter can be the effectiveness in switching between products and/or quality parameters depending on the product currently running on the machine. Depending on the product currently running the machine, the effectiveness in switching between products and/or quality parameters can be an important parameter.
Below are some examples of industrial applications in which Qtechnology cameras are used:
- Food Sorting: High throughput machines for product sorting in several classes, based on quality and size.
- Quality Control: 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: Online analyzing micrometer particle inflow to measure the particle count and sizes, to determine the amount of process contamination of the production process.
- Food Safety: Bacteria detection and clarification.
Machine Throughput and Transfer Time
Why are smart cameras smart for industrial automation?
A good reason for using smart cameras in the production line is to keep the throughput up and the footprint of the machine down on high throughput machines, where several images of products are needed to classify size and quality etc.
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 (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
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.