Metal Defect Intelligence From Camera to Root Cause
IntelFactor helps metal manufacturers detect surface and process defects, attach material and production context, and understand why issues repeat before they become scrap, rework, or customer escapes.
Built for the factory floor
Generic visual inspection tools tell you what failed.
IntelFactor connects the defect image to metal-part context: material lot, process step, station, tool, shift, and operator review. That is how a scratch, crack, burr, or weld defect becomes a corrective action instead of another spreadsheet row.
Edge-first architecture
Low-latency detection runs on-device. No cloud dependency for real-time decisions.
Operator-friendly workflows
Designed for factory teams — not data scientists.
Structured inspection history
Every event is traceable and auditable by default.
AI-assisted root cause
Faster investigation using your own inspection schema, incident data, and production context.
No major system replacement
Integrates with existing production processes without disrupting operations.
Built around the defects metal teams actually investigate
IntelFactor starts with a plant-specific taxonomy, then maps each detection to the production evidence needed for review, containment, and root cause analysis.
Surface and finish
Forming and casting
Machining and edge
Welding and coating
How It Works
Detect Metal Defects in Real Time
Industrial cameras and edge inference systems inspect steel, aluminum, cast, stamped, welded, coated, and machined parts continuously. Computer vision detects scratches, dents, cracks, burrs, corrosion, weld flaws, and finish issues as they happen.
Attach Production Context
Each detection becomes a structured inspection event with defect type, severity, inspection zone, station, timestamp, confidence score, image evidence, batch, supplier lot, material grade, tool, and shift context.
Explain and Prevent Repeats
Operators verify detections through a review queue, add root cause tags, and attach corrective actions. Over time, IntelFactor builds a plant record of which material, station, tooling, or process changes correlate with repeat metal defects.
Platform Features
The full operational loop — from camera to structured incident to operator action to root cause insight.
Metal Defect Detection
Computer vision monitors every unit, not sampled lots. Detects scratches, dents, cracks, burrs, chips, corrosion, weld flaws, coating issues, and surface finish variation in real time.
Material and Lot Context
Every detection is tagged with station, batch, supplier lot, material grade, tool, shift, timestamp, and confidence score. No manual spreadsheet cleanup required.
Review Queue
Operators approve or reject classifications, add root cause tags, and attach notes. Every decision improves accuracy and builds plant memory.
Ask AI
Natural language queries against your inspection data and production context. Ask: What defects increased this week? Which station caused the most rejects? What triggered the spike on Line 3?
Root Cause Analysis
AI analyzes inspection events against your workspace schema, SOP rules, and incident history to surface why quality issues occur — not just where.
Live Stream
Monitor production lines remotely with live camera feeds. See what's happening on the floor without being on the floor.
Spec Packs
Upload SOPs and quality specs. The system maps them to inspection criteria and uses them to ground detection and root cause analysis.
Deployment Model
IntelFactor typically starts with a single production line — validated in a two-week pilot before any long-term commitment.
Once the system is live and producing results, manufacturers expand across additional lines and facilities at their own pace.
How rollout works
Single production line to start
Industrial camera, edge device, dashboard, and operator review workflow — deployed and validated before expanding.
Expand at your pace
Once validated on one line, roll out across additional lines and facilities on your timeline.
Software and hardware flexible
Customer-provided or IntelFactor-supplied hardware. Same software stack either way.
Pilot before you commit
Two-week pilot with real production data and measured acceptance criteria before rollout.
Who uses IntelFactor
Connect every part of
your quality system
Expand IntelFactor with live video streaming, evidence management, operator feedback loops, and integrations that connect your inspection data to the rest of your factory.