IMAGO Technologies, a leading manufacturer of industrial AI cameras, today announced the release of a new anomaly detection feature for its Vision Cam AI.go camera. The new feature uses Deep Learning to detect anomalies in production processes, such as defects in manufactured goods or errors in assembly lines. This can help manufacturers improve quality control and reduce costs.
Credit: IMAGO
To detect irregularities in produced parts, known as anomalies, a model of what is considered normal is first created. This is done by feeding the camera some images that are identified as correct. Once the model is created, the camera can then detect anomalies by comparing new images to the model. If the new image differs greatly from the model, the camera reports an error.
"The new anomaly detection feature in the AI.go smart vision cam is a big step forward for our customers," said Carsten Strampe, CEO of Imago Technologies. "With its help, large amounts of image data can be analysed quickly and efficiently. It can also be used to detect patterns that are difficult or impossible to see with the human eye. Finally, anomalies can be detected in real time, which can help prevent problems."
The Vision Cam AI.go camera is a powerful tool for machine vision. It is easy to use and can be deployed quickly and easily. The new anomaly detection feature makes it even more powerful, providing manufacturers with a valuable tool to prevent costly production errors and meet quality standards.