Gaze Tracking Library

RealEye.io collects real‑time gaze, attention, and facial emotion data via participants’ webcams for image, video, or website stimuli. It offers triggers, heatmaps, fixation plots, API access, and records mouse/keyboard interactions for integrated survey analysis.

EyeGestures is a gaze‑tracking library that works with laptop or smartphone webcams. It supports Python and JavaScript, runs on all platforms, and can be embedded in servers, desktops, or browsers. EyeGesturesLite offers a lightweight, no‑server web version for prototyping.

PoseTracker provides real‑time human pose estimation with 40 ms latency using MoveNet, supporting iOS, Android, web, and low‑code APIs. It handles over 100,000 movement types, offers joint‑angle detection, pose comparison, and quick iframe/webview integration.

Webcam Motion Capture tracks hand, face, gaze, lip sync, and upper‑body movements via a standard camera, streaming data through VMC for avatars or game engines and exporting to FBX for 3D animation. Supports Windows, macOS, and mobile offload.

Be My Eyes links blind and low‑vision users to volunteers worldwide via live video, offering instant visual help. Integrated AI provides automated image descriptions, supporting 180+ languages, smartglasses, and multi‑platform access for real‑time, free assistance.

Halo is an open‑source AR glasses platform with OLED display, bone‑conduction audio, and on‑device AI powered by Alif B1 Cortex‑M55, enabling real‑time multimodal conversations, context capture, and cross‑platform app development via Lua on ZephyrOS.

DeepMotion converts video or text into realistic 3‑D character animation, extracting motion from a single camera and offering real‑time body and facial tracking for game devs, VR artists, and content creators. Its API integrates into pipelines, speeding production.

Be Your Best tracks athlete vision and decision‑making by measuring scan rate during gameplay. It offers real‑time data, progress tracking, leaderboards, and analytics for coaches and analysts to enhance tactical flexibility and possession control.

Lenslink is an AI tool for automated image and video analysis, featuring face detection, human action recognition, and real-time multi-person analysis. It offers secure edge computing integration for applications like access control, crowd management, and digital signage analytics.

Eyewear Virtual Try‑On for the Web offers a browser‑based AR experience that lets users view realistic 3‑D glasses on their faces. Integrated via a single snippet, it auto‑generates models from product photos and adapts to any e‑commerce layout.

LightLayer provides scalable, richly annotated egocentric datasets—synchronized RGB, audio, IMU, and depth—via distributed capture coordination, automated collection workflows, and streamlined annotation pipelines to produce delivery-ready data for embodied AI and robotic perception training.

GreenEyes.AI delivers low‑latency visual search, object labeling, and content‑based retrieval APIs for developers, plus a no‑code image organization app. It supports generative chatbot image navigation, AI‑shielding, semantic vector search, and open‑source LGPL libraries with enterprise‑grade uptime

Gobi is an AI glasses platform offering SENSE⓪ developer kit and SENSE① consumer edition for real-time egocentric multimodal sensing—audio, image, motion—plus developer SDK, on-device processing, secure data workflows, and granular privacy controls.

CursorLens is an open‑source dashboard integrated into Cursor.sh IDE that logs AI‑generated code, tracks usage, and lets developers control or switch AI models locally or in the cloud. It provides real‑time visibility and usage metrics for developers and managers.

CrayEye lets users build multimodal vision prompts that fuse large‑language‑model outputs with real‑world sensor and API data. Users capture images, edit prompts with contextual info like location and weather, and share or remix them, supported by open‑source code.

FitLens uses webcam‑based computer‑vision to track 33 body keypoints in real time, delivering instant posture feedback for push‑ups, squats, lunges, and planks. Users view progress dashboards and exercise histories to track performance.

Ultra‑Attention is an AI desktop app that tracks eye movements, mouse activity, and application use via webcam to detect distraction. It delivers real‑time alerts, offers focus‑training exercises, and provides customizable blocklists and productivity reports.