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Patent drawing for Devices, Systems, and Methods that Observe and Classify Real-World Activity Relating to an Observed Object, and Track and Disseminate State Relating the Observed Object
US 20,220,215,258 A1
Machine learning US 20,220,215,258 A1 Expired

Devices, Systems, and Methods that Observe and Classify Real-World Activity Relating to an Observed Object, and Track and Disseminate State Relating the Observed Object

This invention describes an intelligent device designed to monitor machines and understand what they are doing. One version attaches to a machine and uses a vibration sensor (accelerometer) to detect activity, processing these signals to figure out the machine's state, like whether a washing machine is running or finished. Another version uses a camera and a microphone to observe the machine, converting sounds into visual patterns and feeding both images and sound patterns into a deep learning system to infer the machine's state and provide alerts.

Why it matters: Since 2022, advancements in edge AI hardware and software optimization have made deploying complex deep neural networks on small, low-power devices more efficient and cost-effective. This improves the feasibility of the device's on-board processing for real-time activity classification.

Status
ExpiredProtection ended and was never renewed
How hard to build
SpecializedCustom electronics, deep neural network, signal processing

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