Anomalous object interaction detection and reporting

This invention describes a system that watches video from a camera to spot unusual interactions between objects. It works by tracking objects, breaking their movements into short sequences, and comparing these sequences to learned patterns of normal interactions. If an interaction's pattern is rare or doesn't fit the learned norms, the system flags it as an anomaly and issues an alert. The system specifically defines an interaction as two objects' bounding boxes coming very close to each other.

Why it matters: The computational power and machine learning frameworks needed for real-time video analysis and adaptive anomaly detection have become significantly more accessible and efficient since 2019. This makes deploying such a system more feasible and cost-effective.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning, video processing

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