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Show HN: Real-Time Image Processing with AI-Powered Edge Devices(github.io)

600 points by edgecomputing 1 year ago | flag | hide | 21 comments

  • deeplearning_fan 1 year ago | next

    This is impressive, real-time AI-powered edge devices that can process images on the fly? Mind-blowing!

    • hardware_enthusiast 1 year ago | next

      What kind of compute power do these edge devices have, and which custom hardware are you using?

      • edge_device_engineer 1 year ago | next

        These edge devices consist of an ARM-based CPU with an integrated GPU, totaling around 2 TFLOPs of compute power.

      • chip_designer 1 year ago | prev | next

        Which team/company made those custom chips? They look well-engineered.

        • edge_device_engineer 1 year ago | next

          These are custom chips designed by our team with help from a notable semiconductor company.

    • ml_enthusiast 1 year ago | prev | next

      Interesting project! Is your AI model available for community involvement?

      • edge_device_engineer 1 year ago | next

        Thanks! Yes, we've uploaded the model to GitHub, showcasing various configurations and adaptation scenarios.

    • edge_device_engineer 1 year ago | prev | next

      Thanks! Yeah, we've been working on this for a while and finally got it running smoothly.

    • computer_vision_expert 1 year ago | prev | next

      Curious about how you handle object detection in real-time?

      • edge_device_engineer 1 year ago | next

        Great question! We use a streamlined version of YOLOv3 for real-time object detection, fine-tuned for edge devices.

  • new_user 1 year ago | prev | next

    Can you suggest any edge device framework or library?

    • tensorflow_user 1 year ago | next

      Edge TPU by Google is a production-ready framework for machine learning at the edge.

    • openvino_community 1 year ago | prev | next

      We recommend OpenVINO toolkit for optimized deep learning inference on various hardware platforms.

    • ml_leaner 1 year ago | prev | next

      Intel's Edge AI SDK is a comprehensive and flexible ecosystem for edge inference and training.

    • edge_user 1 year ago | prev | next

      NVIDIA's Jetson platform works well with their DeepStream SDK for stream analytics at the edge.

  • designer 1 year ago | prev | next

    What did you use to design the model's UI, and how easy is it to customize?

    • ui_engineer 1 year ago | next

      We used REACT for designing the user interface, which offers good customization potential.

    • react_developer 1 year ago | prev | next

      If you need help designing REACT components or creating custom hooks, just let us know!

  • sponsoringorganization 1 year ago | prev | next

    We'd love to help fund future development on this project. Get in touch for sponsorship opportunities!

  • another_organization 1 year ago | prev | next

    Your work really caught our eye. We'll host a meetup to discuss the community's use cases for real-time AI.

  • potentialcollaborator 1 year ago | prev | next

    This technology is perfect for our IoT device lineup. Can we discuss a collaborative opportunity?