Computer vision can offer valuable insights into students’ posture, their facial orientation, or gesticulation during the team activities, by recording all students’ interactions.

Computer vision has some technical challenges as well. It’s limited by hardware, including cameras and sensors. Additionally, computer vision systems are very complex to scale.

A recent Grand View Research report underscores the significance of computer vision, revealing that the PC-based computer vision systems segment dominated the market with a substantial share of ...

In short, the problem tackled by computer vision research is translating the flat 2D data a computer 'sees' into a 3D real-world reality that it can recognise and understand.

Many of us interact with computer vision applications every day, from Apple’s Face ID and Tesla Autopilot to the Meta Quest and Google Lens. Computer vision gives machines the ability to ...