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AtlasRepo

Building Real-Time Desktop Perception with Neo v0.1 Vision Engine

Description and use

Neo v0.1 delivers real‑time desktop perception with sub‑200 ms latency, accurately handling high‑DPI, multi‑monitor, and dynamic UI scenarios, and provides secure automation through human‑approved safety gates.

Problem

Desktop AI agents struggle with high‑DPI/multi‑monitor setups, dynamic application states, and non‑standard UI frameworks, leading to coordinate translation errors, missed UI elements, and unreliable automation.

Outcome

Neo v0.1 achieves real‑time desktop perception with <200 ms latency, accurately handling high‑DPI, multi‑monitor, and dynamic UI scenarios, and provides secure automation through human‑approved safety gates.

Workflow

  • Deploy dual‑GPU cluster with NVIDIA A10G workers
  • Capture desktop frames and downsample for processing
  • Apply visual grounding to locate UI elements
  • Run hybrid OCR (traditional + visual context) to read text
  • Reconstruct UI element tree for structured interaction
  • Match user intent with fuzzy logic and typo tolerance
  • Route critical actions through human approval safety gates
  • Execute automation commands on target UI elements

Evidence

Shipped critical upgrades to LuxurAI Cowork's Neo v0.1 vision engine – our in‑house vision‑language model for desktop screen perception and automation.

Source

Dedicated NVIDIA A10G workers for <200ms latency

Source

  • Record date: 2026-09-13T10:01:35.106Z