Oxipital AI Unveils Innovative Food Safety Solutions
At the Pack Expo, held from October 18 to 21, 2026, Oxipital AI made waves with the announcement of its newest technology: the Foreign Material Detection capability. This state-of-the-art AI-driven solution is engineered to identify contaminants in real-time on fast-paced food production lines, thus elevating industry standards for food safety.
Major Advancements in Food Inspection
The launch of Foreign Material Detection marks a significant leap in food safety technology. Utilizing the existing OX and VX hardware platforms that many food producers are already familiar with, this innovative capability achieves detection accuracy exceeding 99%. More importantly, it leverages real-time analytics to streamline food safety processes, enabling a quick response to potential hazards on production lines.
The system is designed to address various contaminants that are known to lead to food recalls and regulatory actions, including plastics, wood, bone fragments, personal protective equipment (PPE), and other foreign materials. Customers will benefit from improved operational efficiency and greater confidence in their inspection protocols.
Enhancing Operational Efficiency with Automation
A significant advantage of Oxipital AI's Foreign Material Detection is its ability to integrate seamlessly with existing line control systems. When a contaminant is detected, the system doesn’t merely flag the issue; it triggers an automatic response tailored to the severity of the contaminant detected. A minor issue might only slow the production line, whereas a high-severity event could halt operations entirely—without the need for manual intervention.
Such automation is crucial in managing the dynamics of high-volume food production, as it minimizes unnecessary stoppages while ensuring a proactive approach to contamination control. Mark Chiappetta, CEO of Oxipital AI, stated, “What we kept hearing from customers was that they needed a single platform that could handle quality, robotics, and food safety without adding complexity.” This philosophy underscores the development of the Foreign Material Detection technology.
Accurate Data-Driven Insights
Another compelling feature of this innovative solution is the V-CORTX Analytics Dashboard. This powerful tool logs each incident of foreign material detection with complete audit trails, providing plant managers and quality assurance teams with comprehensive data, including timestamps, classification of contaminants, and throughput impacts. Armed with this level of detail, teams can undertake thorough root cause analyses and maintain rigorous safety compliance documentation.
Moreover, Oxipital AI harnesses synthetic data generation to train its models, ensuring they are production-ready upon deployment. By simulating a variety of contaminants across different lighting conditions and product types, the technology is primed for immediate use, significantly reducing downtime during implementation.
Experience the Future of Food Safety
Attendees at the Pack Expo will have the opportunity to see Oxipital AI’s Foreign Material Detection system in action. Demonstrations at the Oxipital AI booth S-3192 will showcase the robust capabilities of the technology amidst real-world production scenarios. Food and beverage manufacturers interested in elevating their food safety protocols are encouraged to visit and learn more about the advancements Oxipital AI is paving in the industry.
About Oxipital AI
Founded as a spin-off from Soft Robotics, Oxipital AI combines cutting-edge AI vision technology with extensive manufacturing expertise. The unified platform not only supports foreign material detection but also extends to quality inspection and vision-guided robotics, offering a comprehensive solution tailored for the food and industrial manufacturing sectors. As it continues to grow, Oxipital AI remains committed to enhancing services across some of the world’s leading food production lines.
For more information about this innovative technology and to stay updated, visit
www.OxipitalAI.com.