Explore how NIR illumination enhances contrast between objects and penetrates certain materials, allowing us to 'see through' layers, and proving invaluable in scenarios where traditional lighting methods fall short.

There are two primary approaches to machine vision: traditional (rules-based) and deep learning-based. Understanding their differences, advantages, disadvantages, and specific use cases can help manufacturers choose the most suitable method for their needs.

Introducing PEKAT VISION 3.16. From enhanced speed to refined user interface, this update represents a culmination of our ongoing efforts to make visual inspection technology more approachable and effective than ever before.

Collaborative robots expand the number of applications suitable for automated quality inspection, they are versatile, easy to set up, repeatable, and affordable. They are particularly helpful in inspecting complex, larger, or heavier product.

Introducing the Baumer VAX-50 Smart Camera solution with PEKAT VISION, representing another leap forward in industrial visual inspection, offering superior performance, ease of use, and scalability.

Datasensing & PEKAT VISION are proud to announce the release of its innovative Vision Processor, a powerful industrial PC designed specifically to elevate quality control across manufacturing and logistics.

Have you ever experienced the frustration of assembling furniture, only to discover crucial pieces are missing from the box? The result can be a time-consuming and annoying setback, requiring you to disassemble and head back to the store. Watch a brief demonstration of how our software aids in preventing these assembly hiccups.

Learn how the latest advancements in Photoneo 3D scanning technology and PEKAT VISION deep-learning software has transformed the landscape of quality control in the automotive sector. A single overlooked detail, like an incorrect, or incorrectly seated fuse in a fuse box, can have far-reaching consequences. In our latest blog post we look at how these two companies tackle this challenge head-on.

We are thrilled to present PEKAT VISION 3.14, the latest version of our cutting-edge visual inspection software, setting a new standard for precision, speed, and accuracy, empowering operators of all technical background to effortlessly train and manage the visual inspection parameters.

The advancements in deep learning and computer vision have paved the way for automated inspection in pharmaceutical manufacturing. Inspecting the liquid level of vials is one example of its use. This brief article explores the potential of PEKAT VISION in enhancing vial quality control and highlights the benefits it brings to the pharmaceutical manufacturing process.

Object Detector and Classifier are two more modules that we would like to briefly describe and provide an example of their use in our blog series. To simulate a real-life scenario, we used different products, a small conveyor belt, and a PLC connected to a signaling beacon. The items, while moving on the conveyor belt, were sorted into the correct product class and inspected for any defect or missing parts. We’re inviting you to look behind the scene at how everything was done.

In our next installment of blog series, we will take a look at PEKAT VISION's OCR module used with PhoXi 3D scanner from Photoneo. Using the scanner, we read the embossed characters, including the manufacturer's identification number and DOT number, on the sidewall of a scooter tire.

We are introducing a new series of blog posts covering the main modules of PEKAT VISION as they were presented during the autumn trade fairs. In the first part of the series, we will look at the Surface Detection module, used for detecting scratches, cracks, tears in packaging material or shrink wraps, missing parts, burrs on oil seals, or just any kind of surface defect or contamination.

Searching for defects, either defined, or previously unseen is not the only use of our software. PEKAT VISION can be applied for vision-based robot guidance, product sorting, or completeness check. In this brief article we will look at completeness inspection for the pharma industry.

Camera-based inspection systems with artificial intelligence enable product quality control at a level that previously could only be performed by humans. This article explains how and why to use AI in your production and how PEKAT VISION can help you.

We are proud to announce that yesterday PEKAT VISION was acquired by Datalogic for €16 million.

Until now we did not pay that much attention to our Detector module. This is a pity because it is a very useful and fast technique for defect detection.

In this use case, we would like to show you how you can effectively detect various types of defects on textile.

After an involuntary break caused by COVID-19 we attended a Stuttgart Vision conference at the beginning of the month. When preparing for the conference we considered it very important to show how...

The Medical field is also one of those areas which can benefit from detection of flaws using deep learning tools. As proved by PEKAT VISION software that we used to inspect pill blisters.