Fall Detection with YOLOv7 Pose Estimation Demo

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  • Опубліковано 29 вер 2024
  • Not everyone has an Apple Watch⌚️ for Fall Detection, but we can use a camera with some AI. Whether you'd want a camera watching📷 you 24/7 is a topic for another day however this technology is essential for frail care.
    ====================
    If you would like to code apps like this for health care applications⛑, I can show you, from scratch, step-by-step using YOLOv7.
    👾Click this link to learn - lnkd.in/dgsmAvXE
    🏂Or get started with YOLOv7 for Free lnkd.in/did9A-mE
    ====================
    You may have an elderly👴🏼🧓🏼 or frail loved one👨🏻‍🦽 who does not own a smartwatch and even if they do, they don't want to wear (or maybe forget to wear) the device.
    This is where we can apply YOLOv7 Pose Estimation for Fall Detection, which can inform you or a health care provider🧑🏻‍⚕️ that a person has fallen. This is so that they may attend to the patient as soon as possible🩺.
    When it comes to health🏥, every second counts⏱, and the sooner you are notified of the person falling, the sooner they can be cared for or treated⚕️.
    I have put together a compilation of people falling, or rather intentionally falling in a martial arts setting. I will post another video demo, to relate more to actual falling events soon.
    ☕️ Show your appreciation for this tutorial - Please Buy me a Coffee/Chai so I can create more free tutorials for you 😊 - augmentedstart...
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    ✅56 FPS V100, 55.9% AP
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КОМЕНТАРІ • 17

  • @sambasivaraok5031
    @sambasivaraok5031 2 роки тому

    We implemented a similar solution for health care few months back based on keypoints.

  • @hab_punch
    @hab_punch Місяць тому

    A person will never fall only sideways.

  • @swaroopsss2008
    @swaroopsss2008 2 роки тому +4

    Hi, Is this solution works accurately in night vision cameras and low light conditions? Old people generally fall during night time due to visibility issues and commonly fall from stairs. It will be nice to see the performance of algorithms in such challenging conditions.

    • @Augmented_AI
      @Augmented_AI  2 роки тому

      Interesting. I will look into this. Do you have video examples that I can test on?

    • @swaroopsss2008
      @swaroopsss2008 2 роки тому +1

      @@Augmented_AI hi, we will release all our data set soon as opensource to everyone. There are more natural falls targetted for elderly people.

    • @hakimsehad5790
      @hakimsehad5790 2 роки тому +2

      @@swaroopsss2008 Can you share the link of the data please ?

    • @wgalloPT
      @wgalloPT 2 роки тому +1

      Im a Physical Therapist, and I would add a few very important points to it...

    • @cvbeans2019
      @cvbeans2019 2 роки тому +2

      @@swaroopsss2008 I would also be keen to have the data set videos please

  • @runner2345
    @runner2345 2 роки тому +1

    Hi, I am learning a lot from your tutorials. I would like to develope "Mask R-CNN" with TF2 but most of tutorials out there are based on TF1. Could you make a tutorial for that? Thank you!

  • @MigsRelativo
    @MigsRelativo Рік тому

    Hi! Is it possible to capture the fall then send it the image of the fall via wifi notification?

  • @ziyangwang-q5q
    @ziyangwang-q5q 11 місяців тому

    请问能否进行实时检测,如果可以的话我会购买。

  • @dragangligoric6569
    @dragangligoric6569 2 роки тому

    Great. Are you try this on mobile?

  • @vuinh1581
    @vuinh1581 Рік тому

    How can you draw a warning icon when you detect a fall?

    • @Augmented_AI
      @Augmented_AI  Рік тому +1

      We create a function to import a PNG

  • @jasurbekgopirjonov
    @jasurbekgopirjonov Рік тому

    amazing project. does it work real time too ?

    • @ziyangwang-q5q
      @ziyangwang-q5q 11 місяців тому

      我也想知道它是否能够进行实时检测,比如调用网络摄像头检测等,如果知道,请告知,非常感谢❤