Join industry experts Chris Bowman and Herman Samerr of Sesotec as they break down the role of Artificial Intelligence in automated inspection and quality control within the food industry. This session covers the basics of AI, machine learning, and deep learning, and dives into real-world applications for metal detection, X-ray inspection, and anomaly detection. Learn how AI is transforming food safety, regulatory compliance, and predictive maintenance, and discover the latest trends and tools shaping the future of food production.

Key Topics:
- History and fundamentals of AI in food safety
- Supervised, unsupervised, and reinforcement learning explained
- How AI enhances metal detection and X-ray inspection
- Real-world examples: contamination detection, RFID, packaging analysis
- Predictive maintenance and automation in quality control
- Regulatory considerations and compliance tools

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