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This invention describes a security system that combines video footage from cameras with information from other sensors, like RFID tags, to track objects and identify unusual activity. It works by taking data from both sources, matching them up, and then flagging anything that needs human attention. The claims specifically highlight using RFID for the non-video sensor part.
Why it matters: Filed before the widespread adoption of advanced AI for multimodal data fusion. Modern machine learning models can now more effectively correlate disparate sensor inputs, making the core data integration and alert generation more robust and accurate.
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