ZenO

ZenO is a network that collects real-world data for embodied intelligence, gathering first-person video through smart glasses and phones, then anonymising and annotating it into trainable datasets for robotics and autonomous driving developers. The problem it targets is scarcity: robots need action data with three-dimensional coordinates, while video scraped from the web carries no metric scale.

Capture runs through three channels. A phone's lidar records metric camera pose and per-frame depth; head-mounted multi-camera rigs film two-handed manipulation; and a phone gyroscope drives a virtual robot arm for teleoperation, logging joint states at 30 hertz. Everything lands in one training format, each clip carrying explicit consent and a commercial licence to avoid copyright and privacy disputes. Contributors earn on-chain rewards for accepted segments, data is registered as traceable intellectual property on the Story protocol, and sales revenue flows back to collectors in proportion.