Data Processing for Labs is a real-time orchestration and monitoring platform for autonomous chemical laboratories. It integrates live process data, multi-sensor input, and visual context to provide a comprehensive view of molecule synthesis workflows as they unfold.
The system coordinates a network of strategically placed cameras and lab devices, using real-time data from robotic arms, pumps, and sensors to dynamically control which camera feed is active. Metadata such as pressure, temperature, or operational states is continuously embedded into the stream as contextual overlays, allowing users to follow complex experiments with enhanced clarity and situational awareness.
Accessible via a web interface, the platform offers adaptive HD visuals enriched with synchronized data, enabling remote oversight of autonomous lab operations. By combining multi-angle observation with precise real-time data, it enhances decision-making, safety, and traceability across advanced synthesis processes.
Key components:
- Camera Network
- Orchestration Controller
- Sensor and Device Interface
- Video Encoding and Metadata Overlay
- HLS Streaming Engine
- Time-Series Data Store
- Web UI
- Deployment Platform