In a bid to improve quality control and reduce production errors, manufacturers are increasingly adopting automated anomaly ...

Industrial anomaly detection is crucial for maintaining quality control and reducing production errors, but traditional ...

Anomaly detection is the process of finding and identifying point, contextual or collective anomalies that fall outside the bounds of defined policies. Detection itself is only the first step; further ...

Researchers have designed an intelligent household robot capable of autonomous navigation, object detection, and sorting.

Normally anomaly detection takes time to set up. You need to train your model against a large amount of data to determine what’s normal operation and what’s out of the ordinary. It’s how ...

“Anomaly detection is the holy grail of cyber detection where, if you do it right, you don’t need to know a priori the bad thing that you’re looking for,” Bruce Potter, CEO and founder of ...

More recent models such as YOLO (You Only Look Once) use single-shot detection to provide near real-time object detection. But their memory requirements are still large.

What does anomaly detection actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

Today’s TensorFlow object detection API can be found here. Google wants to make it extra easy to play with and implement so the entire kit comes prepackaged with weights and a Jupyter notebook.