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.
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