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HoldField transforms manual, variable visual inspection into one controlled Physical AI evidence chain. Quality risk is expensive because it stays hidden too long — missed defects, inconsistent human calls, no proof, and audit scrambles. HoldField catches defects at the station, not three operations downstream. Its seven-step Proof Chain — Capture, Detect, Measure, Coverage, Rules, Route, Seal — separates roles cleanly: edge AI provides signals, deterministic thresholds make decisions, coverage gating blocks any PASS without complete inspection of critical regions, and the PLC remains the final authority on the line. Every unit produces a tamper-evident capsule sealed with a SHA-256 hash: raw frames, overlays, defect crops, coverage maps, measurements, and rule/model versions — QMS-ready and evidence-ready without ever claiming certification. Inspection runs on-station and edge-first, so decisions never wait on a network round-trip; ambiguous or near-threshold cases escalate to a human review loop rather than passing silently. Pair with Ghost where jurisdictions require cryptographic attestation of the AI signals themselves.
The Challenge
Manual visual inspection is variable operator-to-operator and shift-to-shift, defects escape the station and are found operations later, and when a customer or auditor asks "prove it" there is no repeatable evidence — just a scramble through logs and memory.
Missed and inconsistent defect calls — inspection depends on who is on shift
Escapes surface downstream, where rework and scrap cost far more
No repeatable proof of what was inspected or why a part passed
Root-cause and audit reviews turn into scrambles across disconnected records
How It Works
Our proven process delivers production-grade results at every stage.
Controlled lighting recipe and fixturing produce repeatable frames — the same part looks the same every time.
Station-based edge AI flags candidate defects: surface flaws, burrs, scratches, contamination, missing or misaligned features.
Candidates are measured to precise defect dimensions against your accept/reject thresholds.
Verifiable coverage maps confirm every critical region was inspected — no PASS is allowed on incomplete coverage.
Deterministic rules — not AI — make the final Accept / Reject / Divert decision against versioned thresholds.
PLC-safe decision pathways govern line routing; HoldField never bypasses your production control system.
Each unit is sealed into a SHA-256 hash-verified evidence capsule — tamper-evident and ready for QMS and traceability review.
Capabilities
Raw frames, overlays, defect crops, coverage maps, measurements, and rule/model versions sealed per unit with a SHA-256 hash — tamper-evident, not a loose log.
Edge AI proposes; versioned deterministic rules dispose. No single AI authority makes the accept/reject call, so results are explainable and repeatable.
No PASS is permitted without complete inspection of every critical region. Incomplete coverage blocks the station instead of passing silently.
Inspection runs on-station with no network round-trip; governed Accept / Reject / Divert routing keeps the PLC as the final line authority.
Scale from station vision to PLC-connected line routing, motion-assisted part presentation, and robot-assisted load/orient/clear — one evidence chain throughout.
Ambiguous and near-threshold cases escalate to human reviewers with review, retake, or block options — never a silent pass.
Technology Stack
Impact
Capture → Detect → Measure → Coverage → Rules → Route → Seal
Hash-verified, tamper-evident capsule per inspected unit
No PASS without complete critical-region coverage
Inspection runs on-station — no network round-trip
Related Products
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Industries
FAQ
No. Edge AI only proposes candidate defects; deterministic, versioned rules make the Accept / Reject / Divert decision, and the PLC remains the final authority on line routing. HoldField never bypasses your production control system.
Each inspected unit produces a capsule containing raw frames, overlays, defect crops, coverage maps, measurements, rule and model versions, and operator/station/timestamp data — sealed with a SHA-256 hash so it is tamper-evident and ready for QMS and traceability review.
No. HoldField explicitly does not claim certification. It produces evidence-ready, audit-ready proof for your own QMS and customer traceability reviews — the certification decision stays with your quality organization and regulators.
Every implementation begins with a Pilot Fit Report mapping the part family and painful inspection point, defect classes and accept/reject thresholds, a repeatable lighting recipe, evidence requirements, the PLC/MES integration path, and KPI gates such as escape rate, coverage, and dispute time.
Let our experts show you how HoldField — Physical AI Quality Automation can transform your operations, reduce costs, and accelerate growth.