OpenCap Monocular: 3D Human Kinematics and Dynamics From a Single Smartphone Video
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Updated
Jun 12, 2026 - Python
OpenCap Monocular: 3D Human Kinematics and Dynamics From a Single Smartphone Video
DERD-Net: Learning Depth from Event-based Ray Densities (NeurIPS 2025 Spotlight)
Lightweight UAV-SAR perception system for aerial human detection, monocular GPS geolocation, and automated rescue alerting using standard UAV telemetry and edge AI.
A Python library for measurement, observation, and calibrated judgment from camera images — the perception layer for human-helper AI applications.
Deepixel develops real-time human understanding algorithms from a single RGB camera, with full in-house capability spanning data acquisition, annotation, model training, and platform-optimized deployment—ensuring robust, efficient, and production-ready vision systems.
Real-time, CPU-only wrist landmark tracking library by Deepixel. Uses monocular vision to estimate 8-point cylindrical wrist landmarks, left/right wrist pose, and visibility confidence with a Python API.
High-performance facial landmark detection and tracking library by Deepixel. CPU-only, real-time inference using TensorFlow Lite, OpenCV, and DeepCore. Outputs 106 facial landmarks with head pose estimation and Python API support.
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