SentiSight

Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.

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.