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Technical Guide

Is detection logging just for the file? How to choose data traceability features for metal detection equipment

Alarms without records

Many factories focus only on sensitivity when buying a metal detector and overlook logging. In real production, when a customer audit or quality complaint arises, you need to show whether a batch was inspected, whether the equipment was working properly, and whether alarms and rejects occurred. If the machine only alarms on site without keeping records, traceability depends on manual logs, which is slow and hard to prove.

What to record and control

When selecting, look at the completeness of recorded content: inspection time, product name, sensitivity settings, alarm and reject counts, and calibration and test-sample verification records. Models with access control and data export help the quality department archive records and provide evidence during audits. Records should not be freely editable; this is a basic requirement.

Pace, storage and export

Also confirm that logging keeps up with production pace so data is not lost at high throughput, and consider storage duration and export format to fit existing quality workflows. Data traceability is not a gimmick; it is a basic configuration that makes inspection verifiable, provable and improvable.

FAQ

What problem arises if a metal detector focuses only on sensitivity and keeps no records?

When a customer audit or quality complaint arises, you need to show whether a batch was inspected, whether the equipment was working properly, and whether alarms and rejects occurred. If the machine only alarms on site without keeping records, traceability depends on manual logs, which is slow and hard to prove.

What should I look for in the logging features when selecting metal detection equipment?

Look at the completeness of recorded content: inspection time, product name, sensitivity settings, alarm and reject counts, and calibration and test-sample verification records. Models with access control and data export help the quality department archive records and provide evidence during audits, and records should not be freely editable. Also confirm that logging keeps up with production pace so data is not lost at high throughput, and consider storage duration and export format to fit existing quality workflows.