AI window segmentation
AI window segmentation. AI window segmentation is the computer-vision technique that identifies every window on a vehicle photo and outputs a per-window mask — enabling a tint visualizer to apply different shades or films without requiring the customer to click each window.
Definition
Window segmentation is a specialized form of instance segmentation: the model is trained to recognize vehicle windows specifically (windshield, front sides, rear sides, rear, sunroof) and output a mask per window. Once each window has a mask, the visualizer can composite a film color and shade onto each window independently — even at different VLT levels per window position.
Why it matters for conversion
The "click each window" pattern dates from 2010s visualizers when segmentation models weren't accurate or fast enough. It costs the shop conversions every day. Auto-detection drops the customer's effort from "5+ clicks before you see anything" to "upload and see it."
Per-window VLT preview
Many tint installs use different VLT per window — e.g., 35% on front sides (legal limit in many states) and 5% on rears (legal for back row in many states). A segmentation-aware visualizer can preview this exact configuration on the customer's car.
Mobile rendering speed
A model that runs in 5 seconds on desktop but 20 seconds on mobile loses the customer. Sub-second mobile rendering is the bar — the model has to be small enough or the inference has to be server-side and cached.
See also
- Window film visualizer — Window film visualizer
- VLT (Visible Light Transmittance) — VLT
Roffik's take
Embeddable AI window film and vinyl wrap visualizer with auto-detection — customers upload a photo, pick a film, see a photo-real preview, and become a captured lead, all in seconds. Learn more about Vizme.