Quality managers are facing the challenges that come from the widespread labor shortage. Some solutions could include the digitization of processes.

Pleora’s Visual Inspection System brings AI-based decision support to visual inspection and assembly processes.

AI-based visual inspection tools make human decisions consistent, reliable and traceable to help manufacturers reduce costs, increase efficiencies, and ensure product quality.

Dairy Distillery, a spirits producer that transforms a milk byproduct into vodka, is using AI-based visual inspection to help maintain brand quality standards and reduce errors that increase operating costs and slow production.

DICA Electronics Ltd is deploying AI decision-support tools to reduce manufacturing quality escapes and gather key data from manual processes to help speed root cause analysis.

Pleora helps manufacturers deploy AI to improve quality, lower inspection costs, and speed production. The company’s AI solutions for end-to-end quality includes an intuitive “no code” software platform.

Pleora’s AI Gateway simplifies the deployment of advanced machine learning capabilities to improve the reliability and lower the cost of visual quality inspection.

AI is broadly defined as a machine solving a problem or completing a task in a way that we consider “intelligent”, like solving a math problem.

A significant portion of the manufacturing process for consumer goods, parts, food & beverage, and print & packaging still relies on manual tasks performed by human operators. Here are five common mistakes we can make in manufacturing steps.

One of the key areas where visual inspection is still critical to quality control is in electronics inspection. While mass produced consumer goods benefit from machine vision, there is still a place for skilled human inspection for custom or short-run products..