How Autonomous AI Tackles Quality Control Costs

Quality is often viewed as a direct driver of customer satisfaction and operational efficiency in manufacturing. Yet some organizations fail to recognize the hidden costs of quality issues, significantly impacting the bottom line.

How important is domain specific data? - The data challenge for AI applications in quality inspection

The concept of pre-trained deep learning models has gained prominence as a means to facilitate rapid development across multiple applications. We even hear about deep learning models that just need minor tweaks to perform optimally on some applications.

Emphasis on Quality Control Has Retail Distribution Centers Looking Like Automated Factories

Multiple forces are converging to propel this shift toward automating quality control in distribution centers. Retailers must untangle a wide assortment of issues to navigate this shift.

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Featured Product

Palladyne IQ  - Unlocking new frontiers for robotic performance.

Palladyne IQ - Unlocking new frontiers for robotic performance.

Palladyne IQ is a closed-loop autonomy software that uses artificial intelligence (AI) and machine learning (ML) technologies to provide human-like reasoning capabilities for industrial robots and collaborative robots (cobots). By enabling robots to perceive variations or changes in the real-world environment and adapt to them dynamically, Palladyne IQ helps make robots smarter today and ready to handle jobs that have historically been too complex to automate.

Robotics and Automation - Featured Company

Onward Robotics

Onward Robotics

Onward Robotics delivers innovative automation technology that coordinates humans and robots as a cohesive system to revolutionize fulfillment. Our Meet Me® solution combines proprietary software with person-to-goods mobile robots to increase efficiency in warehousing, distribution, and e-commerce operations. Onward Robotics provides the boost in productivity, flexibility, and speed that companies need to remain competitive and grow.