Quality control in manufacturing has never been easy. Between rising complexity, shrinking defect tolerances, and relentless pressure to cut costs, the old ways just aren’t cutting it anymore.

As AI capabilities continue to advance, more sophisticated applications are anticipated, such as real-time quality monitoring ...

With genAI, manufacturing companies can conduct continuous defect monitoring and root cause analysis (RCA) for real-time quality control to ensure a more efficient and reliable production process. You ...

A next-generation Automated Optical Inspection system featuring multi-angle cameras, AI-driven defect detection, and Industry ...

The Smart-VS EVO new series of highly advanced sensors represents a new benchmark in the world of industrial sensing technology. A combination of powerful AI algorithms helps redefine a new frontier ...

Importance of Quality Control in Supply Chain Management. ... If raw materials are flawed, it can make entire production lines inefficient and increase defect rates in finished goods inventory.

ACES Quality Management says that rising insurance defects had an outsized impact in Q3 2024, and it called on lenders to stay vigilant and avoid issues in 2025 February 13, 2025, 6:00am by ...

Following the detection of the outlier die, the software pinpoints the location in the chip where the problem occurred. Fig. 2: Reducing DPPM while simplifying defect investigation: proteanTecs ...

A global group that provides quality assurance for the battery energy storage system (BESS) and solar photovoltaic (PV) industries has launched a battery pack review service designed to improve ...

At 0.1 second integration time, the minimum detection limit was 0.3% or 30,000 ppm, which improved to 0.0055% or 55 ppm at 30 seconds integration time,” they explained.