Blog

With the festive season fast approaching, what better way to celebrate than with a Christmas-themed use case? This time, we explore quality inspection of Christmas chocolate boxes—specifically focusing on completeness inspection. In...

Deep learning for railway safety inspections? We recently tackled an unconventional use case—automating the inspection of locks and latches on slowly moving railway carriages!

Explore how PEKAT VISION's Anomaly Detector streamlines packaging inspection in meat production, detecting foreign contaminants like foil or paper and ensuring the highest quality before sealing. Learn more about its speed, accuracy, and flexibility for food inspection.

PEKAT VISION’s AI solution streamlines cup cleanliness inspection for reusable drinkware, detecting defects and contamination, ensuring quality at festivals around Europe.

Discover how PEKAT VISION's deep-learning software helped a leading pasta manufacturer achieve precise quality inspection, ensuring perfect pasta length with a fast, scalable solution tailored to high-speed production lines.

Learn how Machine Vision Consulting Srl used PEKAT VISION’s Classifier module to automate plant selection. The system inspects each plant’s health and density, offering consistent quality assessment at scale.

Recently we helped Arimation Robotics to develop a deep learning-based solution to rapidly sort over 6,000 PCB bords into 20 categories based on precious metal content, a task that was impossible for human operators due to the sheer volume and complexity.

Learn how PEKAT VISION helped a textile manufacturer overcome challenges in detecting defects on large-scale materials using the Anomaly Detection module and custom preprocessing.

See how PEKAT VISION ensures cleanliness of plastic boxes in the production of plastic toys, identifying and classifying various contaminants and anomalies.

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.