How to Use a Gaze Detection API

Gaze detection technology leverages computer vision to interpret eye movements as input for computers, offering innovative applications such as enabling people with disabilities to operate computers without traditional peripherals and ensuring the integrity of online exams. Utilizing deep-learning models like L2CS-Net, which employs convolutional neural networks to predict gaze angles, this technology can accurately determine where a person is looking. APIs like the Roboflow Gaze Detection API facilitate the integration of gaze detection into various systems by processing video footage to track eye movement. Despite challenges such as video quality, lighting, and privacy concerns, the potential applications are vast, including user experience research and assistive technology. As computer vision continues to evolve, gaze detection is poised to significantly influence human-computer interaction and enhance accessibility.