SentiSight

SentiGaze delivers professional gaze tracking using standard webcams. Track eye movement in real time or record sessions for later analysis. Generate heat maps from individual or combined user sessions, overlaying data on websites, applications, images, or video content with live preview options. Use gaze data to control software and devices, creating pointer-based interfaces for numerous applications. Build accessibility solutions for users who need alternative input methods beyond traditional options. The technology works without specialized cameras or head stabilization equipment. Proprietary algorithms detect and track eye movement from webcam video with zero physical contact required. Quick calibration adapts the system to any screen size and viewing distance by having users look at designated screen points before each session. SentiGaze handles both single-user tracking and multi-user aggregate analysis, making it suitable for UX research and accessibility development.

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.