Test and Inspection Assembly

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Companies face a pivotal decision when choosing a machine vision system: develop in-house or partner with a system integrator. Balancing control and expertise against potential challenges is essential, and key factors like expertise, time, budget, and complexity must be evaluated.

Hikrobot smart cameras from Absolute Gauge Technologies are compact, all-in-one machine vision systems for image acquisition, processing, storage and communication.

An array of new products promise to make material handling safer, more efficient, and more ergonomic.

System inspects tiny watch components with submicron accuracy.

In battery cell production, maintaining high quality and reducing material waste is crucial. Digital image processing and machine vision solutions enable reliable defect detection, ensuring the production of safe, high-quality battery cells for electric mobility.

Leak testing is an important quality control measure in manufacturing. This article provides guidance on determining leak testing specifications by exploring factors and modifying existing specifications or creating new ones.

All the robots in the world won’t help your assembly process if your parts are not in the right place or the right orientation for pick up. Vision systems can help. Here’s a look at four of the latest technologies.

Manufacturing automation is on the rise, offering quality control workers a career advantage. Stefan Friedrich of New Scale Robotics notes that as manufacturers embrace automation, it becomes more user-friendly, aiding new workers in using robots and software effectively.

Event-based vision technology addresses challenges in industrial machine vision, such as data overload and the need for real-time processing, by efficiently capturing changes in a scene with high speed and low power consumption.

AI is revolutionizing quality control in electronics manufacturing by enhancing inspection processes and reducing costs. Anna-Katrina Shedletsky emphasized the power of machine learning and deep learning to automate tasks, improve product quality, and deliver significant ROI, making quality control the perfect starting point for AI implementation.