See Every Defect.
Ensure Every Batch.

Establish Your Golden Sample Product Profile

QC Sentinel™ begins with an operator-guided calibration workflow. Production staff place approved "golden sample" products into the inspection station. The system captures reference data across weight, shape, colour, surface texture, and packaging condition building a multi-dimensional acceptable-variation envelope for each product type.

This replaces the traditional reliance on printed specification sheets and verbal operator instructions with a consistent, digital, operator-trained product profile that ensures the same quality standard is applied across every shift and every operator.

Periodic Line-Side Sampling Fast, Structured, Consistent

At regular production intervals typically every 30–60 minutes, mirroring current manual sampling routines an operator physically places one or more samples into the enclosed inspection station. The system simultaneously evaluates weight via the integrated load cell, captures top-surface and profile imagery via the built-in camera, and checks colour distribution, surface condition, and packaging integrity all within seconds.

This is a line-side sampling model not a fully automated conveyor or inline scanning system. It is intentionally designed this way to be affordable (hardware from £1,900), easy to install beside any existing production line, and usable without any engineering work. Results appear instantly through a traffic-light interface: green for pass, orange for warning, red for fail with a Quality Deviation Score and plain-English explanation of any issue detected.

Automated Digital Batch Records & Traceability

Every inspection event is automatically written to a structured digital batch record replacing handwritten logs and fragmented spreadsheets. Records include measured values, pass/fail results, deviation scores, timestamps, operator ID, product SKU, production line, and batch number.

This creates a continuous digital quality history that supports full audit readiness for HACCP compliance, retailer assessments, and Food Standards Agency requirements with instant report generation rather than manual log compilation.

Production Drift Detection Catch Problems Before They Scale

QC Sentinel™ continuously analyses inspection trends over time tracking gradual changes in browning consistency, weight distribution, shape deformation frequency, packaging seal performance, and surface defect rates. When abnormal drift patterns emerge, the system generates early-warning alerts.

Examples include: "Browning trend increasing over last 3 batches check oven temperature zones", "Seal integrity declining on Line 2 inspect sealing equipment", "Average weight deviation approaching threshold recalibrate filling nozzles."

Self-Calibration System Adapts to Real Production Conditions

As ingredients change seasonally, recipes are updated, or machines are adjusted, operators introduce new approved samples to update the system's tolerance ranges without engineering support or software reconfiguration. QC Sentinel™ continuously adapts while maintaining controlled quality boundaries.

This operator-driven learning model ensures the system remains accurate and relevant across seasonal variation, supplier changes, and recipe modifications creating a practical inspection solution that SMEs can manage entirely in-house.

Audit-Ready Reporting From Production Data to Regulatory Confidence

Every quality insight is delivered as an exportable, structured batch-quality report not raw data. Reports include sample counts, pass/fail rates, top defect categories, drift indicators, operator activity summaries, and batch-specific inspection history aligned with HACCP documentation practices.