In a domain where microns and millimeters matter, efficient quality inspection and metrology processes can make the difference between consistent, successful production runs and labor-intensive failures.
As a technology, automated inspection has transformed the manufacturing industry, In addition, automated inspection is used in life sciences and pharmaceuticals, where its applications can range from reducing the probability of cross-contamination to identifying abnormalities in cells.
Lighting represents a crucial consideration when designing and specifying a system, as it is fundamental to image quality. Understanding how lighting impacts the rest of the system lays the foundation for system success.
The pandemic has only fueled the worker shortage, prompting manufacturers to embrace automation in large numbers. Senior leadership can ensure robotics are implemented correctly.
As manufacturing requirements continue to increase, and reshoring and lack of personnel continue to challenge the manufacturing industry, robotics can help.
Materials testing is critical for the development and quality assurance of all products in the market, with some industries such as biomedical, aerospace, and automotive companies experiencing high volumes of testing throughput in addition to strict quality standards.
Like a mad scientist turning the experiment on themselves, Renishaw used its own manufacturing operations as the proving ground for its new process control platform, Renishaw Central.
Universal testers are essential to quality in many industries because they help engineers understand the performance of materials, components, and products under various loading conditions.
By applying DL with a Data-Centric Approach, Users Can Streamline Even the Most Challenging Manufacturing Steps with Fast, Accurate Automated Inspection.
A sub-discipline of artificial intelligence (AI), deep learning (DL) has become a breakout technology in high-profile market sectors such as retail and high-tech.
My informal observations of published white papers and interviews with colleagues support that quality is moving in the direction of Quality 4.0, but very slowly.
The manufacturing industry has seen major upheaval over the past few years. From supply chain disruption to worker shortages, keeping the pipeline filled with quality products – free of defects – has been no easy challenge. Because of these issues, the promise of Industry 4.0, or smart manufacturing, has never been more important.