Scientists at Brigham Young University (BYU) have developed an algorithm that can accurately identify objects in images or videos and can learn to recognize new objects on its own.

Take a use case like traffic sign recognition, for instance, CNN based algorithm will outperform in accuracy of identification all of today’s object detection algorithms. In addition to the high ...

Robots' maps of their environments can make existing object-recognition algorithms more accurate Date: July 24, 2015 ... Pillai is investigating whether object detection can similarly aid SLAM.

Smart object recognition algorithm doesn't need humans Date: January 16, 2014 Source: Brigham Young University Summary: If we've learned anything from post-apocalyptic movies it's that computers ...

Multiclass object detection uses advanced computer vision algorithms to identify and differentiate between classes of ships, aircraft and vehicles within satellite imagery.

Now you can find object detection and recognition on nearly every smart home cam, from Arlo's 2K-resolution devices and Ring's plentiful doorbells to Eufy, Lorex, Reolink, SimpliSafe and many more.