BEDFORD, Mass., Oct. 16, 2026 (PRNewswire) — Oxipital AI today announced the launch of Foreign Material Detection, a new AI vision capability that identifies contaminants in real time on high-speed food production lines.

These solutions are deployed and operating in production environments today, trained on the foreign materials most responsible for recalls and regulatory action, and available on the same OX and VX hardware platforms food producers already use for quality inspection and process automation.

Foreign Material Detection joins quality inspection and vision-guided robotics as part of Oxipital AI's unified AI vision and intelligence platform.

"What we kept hearing from customers was that they needed a single platform that could handle quality, robotics, and food safety without adding complexity. Adding Foreign Material Detection to our platform is a direct response to that. Our customers told us they wanted fewer vendors, fewer integration headaches, and more confidence in what their inspection system could catch," said Mark Chiappetta, CEO of Oxipital AI.

Synthetic data generation gives customers a head start

Rather than waiting for contamination events to build training data, Oxipital AI uses synthetic data generation to train its models on the visual signatures of the foreign materials most commonly found in food production, including hard and soft plastics, wood chips, full and partial PPE, cardboard, metal shards, bone fragments, and more. Those signatures are simulated across varied lighting conditions, product types, and line speeds. Models arrive production-ready and start inspecting on day one of deployment.

The result is detection accuracy of up to 99%* in production environments, with precision tuning that keeps false positives low. Unnecessary stoppages cost time, product, and crew attention. Oxipital AI's models are built to differentiate genuine foreign material from natural product variation, so the line keeps running when it should.

Detection that drives action, not just alerts

When a contaminant is detected, the system does not stop at simply flagging it to the user. V-CORTX integrates with existing line control systems to trigger automated responses based on severity classification. A minor anomaly can slow the line. A confirmed high-severity event stops it. No manual intervention, no delay.

The system also identifies the type of contaminant detected, not just its presence. That classification gives quality assurance and engineering teams the information needed to trace where a foreign material was introduced, whether it is a worn line component, a supplier issue, or a changeover gap.

A full audit trail complete with analytics

Every foreign material event is logged automatically in the V-CORTX analytics dashboard, with timestamp, classification, imagery, dimensional data, and throughput impact. Plant managers and corporate engineering teams get a continuous, searchable record that supports FSQA documentation, and root cause analysis giving them the tools they need to keep production running safely.

Deployed and running today

Foreign Material Detection from Oxipital AI is operating on production lines in the food industry right now. Food and beverage manufacturers can see it running live at PACK EXPO International 2026 at the Oxipital AI booth S-3192 from October 18-21.