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Patent drawing for Systems/methods for identifying products within audio-visual content and enabling seamless purchasing of such identified products by viewers/users of the audio-visual content
US 12,182,884 B2
Business & commerce US 12,182,884 B2 Not in force

Systems/methods for identifying products within audio-visual content and enabling seamless purchasing of such identified products by viewers/users of the audio-visual content

The system helps viewers buy products they see in digital content like videos or TV shows. It works by displaying the content and then analyzing it to spot products. This analysis can be automatic, but the claims specifically focus on scenarios where a viewer pauses the content, and the system then identifies products within that single paused frame. Viewers can then initiate a purchase of these identified products using their display device or a connected smartphone, potentially by scanning a QR code.

Why it matters: The rapid advancements in AI-driven computer vision and object recognition since 2023 have made the core product identification task significantly more accurate and efficient. This reduces the reliance on manual product placement data or extensive crowdsourcing, which were more prominent challenges at the time of filing.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedAI software, server integration, multi-device interaction

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