Why Edge Inferencing Matters for Manufacturers

Why Edge Inferencing Matters for Manufacturers

Edge inferencing refers to the process of running pre-trained AI models on devices at the “edge” of a network, closer to the data source, rather than relying on a centralized cloud server.    The data is processed and analyzed right where it’s...
How to Use Vision AI for Manufacturing Quality Control

How to Use Vision AI for Manufacturing Quality Control

Traditional quality control methods, often relying on manual inspection and rule-based automation, can be slow, error-prone, and costly. Enter ClearVision for Manufacturing Quality Control—a game-changing technology that uses artificial intelligence and deep learning...
How VisionAI Addresses the Top OSHA Manufacturing Violations

How VisionAI Addresses the Top OSHA Manufacturing Violations

If you are reading this, you are likely already aware of the importance of maintaining safe working environments. Maintaining a safe working environment in manufacturing is crucial for several reasons, including employee health and safety, legal and regulatory...
Addressing the 6 Big Losses in Manufacturing

Addressing the 6 Big Losses in Manufacturing

Overall Equipment Effectiveness (OEE) is an important metric for manufacturers to track on their journeys to minimizing the six major losses that can hinder productivity: Breakdowns Setup and adjustments Idling and minor stops Reduced speed Process defects Reduced...