Near-infrared (NIR) photon detection and object recognition are crucial technologies for all-weather target identification.

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

Getting computers to recognize objects has been a historically difficult problem in computer science, but with the rise of machine learning it is becoming easier to solve. One of the tools that can be ...

Deep learning models applied to drone images offer a fast, accurate, and scalable alternative to costly manual tree surveys.

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

Cornell researchers can use two inexpensive cameras on either side of the windshield to detect objects with nearly LiDAR’s accuracy and at a fraction of the cost. Currently, the LiDAR implementation ...

It’s no surprise to find out that a winner of both Construction Equipment’s Under 40 in Construction Equipment and Fleet Masters awards is an adopter of object detection technology. Before delving ...