Computer Vision

Biometrics, detection, tracking and real-time photo/video analysis. From access control to crowd analytics.

OpenCVFaceIDreal-timeon-premise

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Products: Face ID Video AI Editor

What we do

Biometrics

Face recognition for access control: 99.9% accuracy, 200 ms response.

Space analytics

Counting, tracking, attention zones — data for decisions about space.

Photo/video analysis

Scene tagging with timecodes, semantic AI video editing.

On-premise

The video stream never leaves the client perimeter — critical for security.

Products

ProductBoxed · On-premise

FaceID / Access Control

Biometric access control: face recognition at 99.9% in 200 ms, logs, turnstile integration. Boxed deployment.

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ProductR&D · Pilot

Video AI Editor

Intelligent Video Editor: local media analysis with Qwen2.5-VL, timestamped scenes, a beat grid for music, an editing agent driven by text and an MCP server.

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From the blog

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September 18, 2026Computer Vision8 min read

A local AI video editor: how a laptop reads a media library and cuts a clip to music from a text prompt

A trip left me with a hundred phone videos and a dozen tracks, and the editing kept slipping for weeks. So I built an app that analyzes the library with a local vision-language model, marks up the music by beats and bars, and turns one sentence into a rough cut on the timeline. What it does, which rakes I stepped on, and what it will not do.

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Other directions

01 · Direction

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