DFactoryStart a Pilot

What We Do

Turn factory floor reality into live production data.

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.

MSATD
CNC 1
CNC 2
QA
PACK
CELL 4
WIP 28
TOTES 14
STAGE 9
CAMCAMCAMCAM!!OK

Most industrial operations still rely on people to manually check, count, watch, and investigate.

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.

See

Cameras and sensors observe WIP, machines, tools, quality stations, staging lanes, and material flow.

Measure

Convert visual events into counts, dwell time, queue state, idle time, pass/fail checks, and shift metrics.

Verify

Capture evidence clips and structured records for quality, safety, troubleshooting, and process compliance.

Optimize

Expose bottlenecks, missing items, hidden downtime, rework risks, and opportunities to automate.

AI Vision

Wide-area cameras, cell cameras, quality cameras, video search

Sensors

Temperature, vibration, current, door, light tower, barcode, PLC data

PDH Software

Live 2D factory view, events, dashboards, alerts, searchable history

Action

MES/ERP/QMS integrations, reports, alerts, operator workflows

High-payoff places to start

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.

1

WIP, Shelf & Staging Area Tracking

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.

  • Live bin, tote, cart, or pallet counts
  • Dwell time and oldest-item alerts
  • Queue buildup and movement history
2

Non-Invasive Machine Cell Monitoring

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.

  • Running / idle / setup / waiting state
  • Door open/closed and operator intervention time
  • Material queued vs. machine starved
3

Visual QA & Pre-Process Verification

AI vision checks parts, fixtures, setup carts, labels, orientation, missing features, and obvious defects before value is added or before parts move downstream.

  • Pass/fail checks with image evidence
  • Missing component or wrong-orientation alerts
  • Part-specific models trained from examples

Production Data Hub

A live, game-like operational view of your factory or warehouse.

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.

MSATD
CNC 1
CNC 2
QA
PACK
CELL 4
WIP 28
TOTES 14
STAGE 9
CAMCAMCAMCAM!!OK
Search Events

Live Factory Map

Machines, WIP zones, staging lanes, tool racks, cameras, sensors, alerts, and movement events shown in context.

Searchable Video Memory

Find clips by event or plain-English query: blocked aisle, missing fixture, WIP buildup, idle machine, QC failure, or safety-zone entry.

MES-Light Integration Layer

Send events to dashboards, reports, CSV/API, MES, ERP, QMS, maintenance systems, or operator alerts.

Start with one small pilot

One area. One measurable pain point. One useful data stream.

1

Walk the floor

Identify one area where people still manually check, count, monitor, or investigate.

2

Install cameras/sensors

Deploy a focused, non-invasive AI vision or sensor setup.

3

Turn events into data

Track counts, dwell time, machine state, alerts, pass/fail checks, or video evidence.

4

Review the ROI

Use the data to decide whether to expand, integrate, or automate further.

Built on practical industrial AI infrastructure

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.

  • OKLocal / on-premise deployment available
  • OKExisting camera and sensor integration where practical
  • OKAI models customized for specific objects, zones, parts, machines, and workflows
  • OKData can be structured as events instead of endless raw video
1Cameras & Sensors
2Edge AI Processing
3Production Data Hub
4Alerts, Reports & Integrations

Show us an area you still manually check.

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.

Martin Smith

Industrial AI Integrator

(513) 291-0932

martin@dfactorysolutions.com

DFactorySolutions.com