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Life & fun · April 11, 2018

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Using deep learning to detect objects from your webcam

Using deep learning to detect objects from your webcam launched on April 11, 2018 with 95 votes, #395 of 2,753 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 8 years on.

Visit modeldepot.github.io ↗Alternativestop 14% of April 2018

In plain words

This tool uses TensorFlow.js and the Tiny YOLO machine learning model to detect objects in real-time from a user's webcam. All processing happens locally on the user's device, meaning webcam footage never leaves their computer. Designed for accessibility across devices including mobile phones with limited processing power, it enables deep learning-based object detection without requiring powerful GPUs or server infrastructure.

written from the facts on this page · September 2026

From the sources

Using Tensorflow.js , we're able to use deep learning to detect objects from your webcam! Your webcam feed never leaves your computer and all the processing is being done locally! (Trust me, we can't afford the servers to store/process your data) Real-time object detection is a challenging task, and most models are optimized to run fast on powerful GPU-powered computers with optimized code. Most of us don't have super fast GPUs (especially if you're browsing on mobile) and Tensorflow.js can't take full advantage of our computer's GPUs. We're using Tiny YOLO , a ML model that's been converted to work infrom modeldepot.github.io

Does a similar job

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  • UY
    Using YOLO to Detect Office Chairs in 40M Hotel Photos2025 · ▲222

    I used the YOLO object detection library from Ultralytics to scan over 40 million hotel photos and identify images with office chairs. This helped me create a map showing hotels suitable for remote work. Map: https://www.tripoffice.com/maps Yolo: https://www.ultralytics.com/yolo The whole process was done on a home Mac without the use of any LLMs. It's based on traditional object detection technology.

  • YOLO2017 · pjreddie.com · ▲175

    Real-time object detection

  • Real-Time YOLO Object Detection in Elixir: Fast, Simple, Extensible2024 · github.com · ▲96

    A library for object detection and seamless YOLO model integration in Elixir - poeticoding/yolo_elixir

  • Clearcam – Add AI object detection to your IP CCTV cameras2025 · github.com · ▲233

    This runs YOLOv8 + bytetrack with Tinygrad detections (depending on user config) are saved and can be sent to the companion iOS app along with a notification, all video processing is done locally, all footage is encrypted before leaving your computer, and the sending notifications + videos part is optional. This uses tinygrad, so it runs well on my apple silicon macs and should be able to run on a lot of hardware (or will be able to when I remove other deps).

  • Visual Search using features extracted from Tensor Flow inception model2016 · github.com · ▲75
  • Set of trained deep learning models for computer vision2016 · github.com · ▲127

    Keras code and weights files for popular deep learning models. - fchollet/deep-learning-models

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