Manufacturing Industry Top Stories

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Robotic automation is key for automakers adapting to the evolving EV market, allowing for flexible production and efficient operations amidst uncertainty in regulations and demand.

Adhesives are crucial for assembling the sensors in advanced driver assistance systems.

A short timeline and space constraints were among the challenges faced by automation engineers.

A new type of database can facilitate cost-saving activities, such as predictive maintenance.

Artificial intelligence technology energizes manual assembly lines.

Automation cuts cycle time from 5 minutes to 5 seconds.

The EV revolution reflects a growing desire within the auto industry to be more sustainable.

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.

The chain pallet conveyor (CPC) from Gate Technologies Inc. can be controlled using different drive packages, depending on the application requirements.