Blog

AI-based inspection of aluminum cans using PEKAT VISION. Detect surface scratches, top-ring deformities, and missing pull-tabs in food and beverage manufacturing.

PEKAT VISION 3.19 brings improvements across communication, image handling, and usability — along with several powerful new modules designed to give users greater control over inspection logic, data handling, and customization.

AI-powered inspection of EV battery components using depth maps to detect missing, incorrect, or misaligned parts with high accuracy.

Learn how PEKAT VISION uses deep learning for pill counting and quality checks, replacing scales and manual control with fast, reliable AI vision.

Introducing Smart-VS EVO — the latest evolution in smart sensing combining edge AI capabilities in one compact, easy-to-use device.

Explore highlights from our AI, Machine Vision, and Automation workshop — including robot-assisted quality inspection and combined AI and geometric analysis.

Our example project demonstrates how multiple PEKAT VISION modules—Detector, Unifier, and Classifier—work together to inspect PCB components.

Take a closer look at how does the detector module work in food inspection. Now, you can try it yourself—or just read along.

Patterned illumination significantly enhances defect detection on glossy and reflective surfaces. Combined with PEKAT VISION's deep learning software, it provides a reliable, automated quality control solution for challenging inspection tasks.

The latest release of PEKAT VISION, version 3.18, brings exciting new features and improvements designed to enhance performance, usability, and flexibility for your quality inspection projects.

Discover how PEKAT VISION detects incomplete or improperly sealed catheter packages to meet the highest quality standards.

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.