--- title: I Built an Invisibility Cloak in the Browser No Green... description: A browser-based invisibility cloak effect built without segmentation models or green screens. The trick: capture a background snapshot, use MediaPipe hand... canonical: https://daily.dev/posts/i-built-an-invisibility-cloak-in-the-browser-no-green-screen-no-model-training-phnytuc0a twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: I Built an Invisibility Cloak in the Browser No Green Screen, No Model Training | daily.dev og:description: A browser-based invisibility cloak effect built without segmentation models or green screens. The trick: capture a background snapshot, use MediaPipe hand... og:url: https://daily.dev/posts/i-built-an-invisibility-cloak-in-the-browser-no-green-screen-no-model-training-phnytuc0a og:image: https://api.daily.dev/og/posts/PHNytUc0A.png og:image:alt: I Built an Invisibility Cloak in the Browser No Green Screen, No Model Training og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # I Built an Invisibility Cloak in the Browser No Green Screen, No Model Training **[Medium](https://daily.dev/sources/medium_js)** · 6 min read · 0 upvotes · 0 comments ## Summary A browser-based invisibility cloak effect built without segmentation models or green screens. The trick: capture a background snapshot, use MediaPipe hand landmarks (just thumb tip and index fingertip per hand) to define a moving polygon, then composite the frozen background over the live feed inside that shape. Key implementation details include sorting polygon points by angle around their centroid to avoid self-intersection, exponential moving average smoothing keyed by handedness label, and a blurred mask for soft edges. Both a JavaScript (Canvas API) and Python (OpenCV) version are available on GitHub. The broader point: use ML only for the part that needs it — hand tracking — and handle everything else with geometry and compositing. ## Full article daily.dev links to this article rather than hosting it. 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