# Antal Person Pixelizer

> Pixelate people in live video with an editable computer-vision project

Antal Person Pixelizer is a source-code project that detects and pixelates people in camera images. It uses C++ with OpenCV and a neural-network segmentation model to identify human regions, then obscures those regions in a live video stream. Developers can adjust the pixelation strength in the code.

The download includes source files, a pretrained segmentation model, a precompiled OpenCV WebAssembly module, and build instructions. Emscripten support lets the project run within a browser, and an online demonstration shows the approach. It is intended for developers and learners exploring video anonymization or integrating human pixelation into an application. Detection performance depends on conditions such as the subject's distance.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/antal-person-pixelizer
- Official website: https://www.antal.ai/projects/person-pixelizer.html
- Category: Security & privacy / Identity protection
- Status: Launched
- Topics: Developer tools, Privacy, Segmentation, Video, Web app
- Listing updated: 2026-10-30T16:49:43.043Z
- Information source: https://www.antal.ai/projects/person-pixelizer.html

This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.