See
Cameras and sensors observe WIP, machines, tools, quality stations, staging lanes, and material flow.
What We Do
DFactory helps manufacturers, warehouses, and industrial teams use AI vision, sensors, and automation to see, measure, verify, and improve the physical operations their existing software cannot easily capture.
Focused pilots. Local integration. Practical ROI.
Modern AI vision and edge computing make it possible to turn cameras, sensors, and existing machine signals into useful production data without a giant software rollout.
Cameras and sensors observe WIP, machines, tools, quality stations, staging lanes, and material flow.
Convert visual events into counts, dwell time, queue state, idle time, pass/fail checks, and shift metrics.
Capture evidence clips and structured records for quality, safety, troubleshooting, and process compliance.
Expose bottlenecks, missing items, hidden downtime, rework risks, and opportunities to automate.
Wide-area cameras, cell cameras, quality cameras, video search
Temperature, vibration, current, door, light tower, barcode, PLC data
Live 2D factory view, events, dashboards, alerts, searchable history
MES/ERP/QMS integrations, reports, alerts, operator workflows
The best first projects are not science experiments. They are places where supervisors already walk over to count, check, verify, investigate, or ask what happened.
AI cameras watch shelves, pallet lanes, carts, totes, bins, and staging zones. DFactory turns the video into live counts, dwell timers, queue thresholds, and movement history.
Vision and sensors observe CNCs, presses, packaging stations, or assembly cells to estimate machine state, operator presence, door state, material queue status, and idle reason.
AI vision checks parts, fixtures, setup carts, labels, orientation, missing features, and obvious defects before value is added or before parts move downstream.
Production Data Hub
Production Data Hub is DFactory's software layer for turning AI vision, sensors, machine signals, and quality data into one useful interface. It shows what is happening on the floor, stores searchable event history, and integrates with existing systems where needed.
Machines, WIP zones, staging lanes, tool racks, cameras, sensors, alerts, and movement events shown in context.
Find clips by event or plain-English query: blocked aisle, missing fixture, WIP buildup, idle machine, QC failure, or safety-zone entry.
Send events to dashboards, reports, CSV/API, MES, ERP, QMS, maintenance systems, or operator alerts.
One area. One measurable pain point. One useful data stream.
Identify one area where people still manually check, count, monitor, or investigate.
Deploy a focused, non-invasive AI vision or sensor setup.
Track counts, dwell time, machine state, alerts, pass/fail checks, or video evidence.
Use the data to decide whether to expand, integrate, or automate further.
DFactory uses modern AI vision models, edge computing, camera systems, sensors, and local/on-premise deployment patterns to build practical production intelligence systems. Where appropriate, systems can integrate with existing MES, ERP, QMS, PLC, machine data, or maintenance workflows.
If your team still walks over to count WIP, check a machine, find missing tools, review footage, inspect a setup, or figure out what happened after the fact, DFactory can help explore whether AI vision and sensors can turn that blind spot into live data.