Showing 4 open source projects for "punch time linux"

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    WiFi DensePose

    WiFi DensePose

    Turn WiFi signals into real-time human pose estimation and detection

    WiFi DensePose is a production-oriented implementation of a WiFi-based human pose estimation system that enables real-time full-body tracking using wireless signals rather than cameras. The project demonstrates how commodity mesh routers and signal processing techniques can be leveraged to infer dense human pose information, even through obstacles such as walls. It is designed to showcase the emerging field of RF-based sensing, where machine learning models interpret wireless channel data to...
    Downloads: 2,171 This Week
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  • 2
    RuView

    RuView

    Turn WiFi signals into real-time human sensing and spatial awareness.

    RuView is an edge AI perception system that transforms ordinary WiFi signals into real-time environmental sensing and human pose estimation. Built on the concept of WiFi DensePose, it analyzes disturbances in WiFi Channel State Information (CSI) caused by human movement to reconstruct body position, breathing patterns, heart rate, and presence. Unlike traditional vision systems, RuView operates without cameras, wearables, or cloud connectivity, making it a privacy-first sensing solution. The...
    Downloads: 1,274 This Week
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  • 3
    howmanypeoplearearound

    howmanypeoplearearound

    Count the number of people around you by monitoring wifi signals

    howmanypeoplearearound calculates the number of people in the vicinity using the approximate number of smartphones as a proxy (since ~70% of people have smartphones nowadays). A cellphone is determined to be in proximity to the computer based on sniffing WiFi probe requests. Possible uses of howmanypeoplearearound include, monitoring foot traffic in your house with Raspberry Pis, seeing if your roommates are home, etc. There are a number of possible USB WiFi adapters that support monitor...
    Downloads: 1 This Week
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  • 4
    BlueLogger
    BlueLogger is built using the Python programming language in order to monitor for Bluetooth devices nearby. The application can log the "Time", "Device Name" and "Device Address" of each discovered device.
    Downloads: 0 This Week
    Last Update:
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