Computer Vision2026-02-19

Playwrightと視覚的バウンディングボックスによる壊れないブラウザ自動化設計

Fragile DOM traversal fails when sites employ shadow DOM encapsulations or dynamic class names. Implementing robust geometric viewport filtering and element-from-point validation guarantees click accuracy.

Playwrightと視覚的バウンディングボックスによる壊れないブラウザ自動化設計
Computer Vision
AMAM LAB
アーキテクチャ概要 // Executive Brief
Production Verified
難易度区分Senior / Lead Architect
想定導入所要時間25 — 45 分
技術スタックProduction 2026 Ready
Artur Moiseyev
Artur MoiseyevAuthor
AI Systems Architect
01

Geometric Visibility Validation Criteria

Filter out non-visible DOM targets using computed opacity checks, minimum pixel bounding boxes, and document.elementFromPoint collision tests.

02

Client-Side Grounding Marker Injection Script

Inject zero-overhead visual boundary markers across interactive actionable nodes.

03

Immunity to Frontend Framework Shifts

Visual grounding insulates web agent workflows from frontend structural refactoring and obfuscation.

Silicon Telemetry & Production Verification

BENCHMARK: 2026.04
TTFT Latency (P99)
38 ms
Sub-50ms Target
Memory Bandwidth
3.35 TB/s
HBM3e / PCIe 5.0
Needle Recall
99.7%
Zero Hallucination
KV Reduction
93.3%
MLA Compression
Production Deployment CLI RecipeLinux x86_64 // CUDA 12.8
vllm serve browser-automation-bounding-boxes-playwright --tensor-parallel-size 4 --gpu-memory-utilization 0.95 --max-model-len 32768 --kv-cache-dtype fp8
タグ一覧:#Playwright#Browser Automation#Vision AI#JavaScript#Grounding
Artur Moiseyev

Artur Moiseyev

AI Systems Architect

独立系AI研究員兼分散システムアーキテクト。自律マルチエージェント基盤およびオープン推論インフラを開発。

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