This grant opportunity is seeking innovative solutions to improve walk-through threat detection systems by using stream of commerce data. The goal is to effectively train machine learning algorithms with diverse real-world data to distinguish between harmless objects and potential threats. Current methods, which rely on human observation at security checkpoints, are inadequate due to being labor-intensive and limited in scope.

The desired solution should:

• Analyze real-t… Show More

Stream of commerce data is crucial for walk-through threat detection system algorithm development because it provides real-world diversity in the traveler’s physical characteristics, clothing, and personal belongings that people carry through security checkpoints. This data helps the algorithm d… Show More