Cropping and zoom¶

Cropping works like a digital zoom that enlarges a selected area of your video before sending it to the cloud for analysis. Larger objects in the frame mean better AI detection - object size matters significantly for accurate recognition.

Why use cropping?¶

When objects appear small in your video frame (like vehicles on the far side of a roundabout or distant pedestrians), AI struggles to detect them accurately. Cropping solves this by:

Making small objects visible - enlarging distant or small objects so AI can detect them reliably
Improving classification accuracy - bigger objects provide clearer visual details for the AI to classify correctly
Focusing on what matters - removing irrelevant areas to concentrate processing power on your measurement zone

When to use cropping¶

Cropping is most effective when:

Objects are small relative to the frame (large intersections, roundabouts, distant areas)
You need to focus on a specific distant area (far pedestrian crossing, opposite side of intersection)
The measurement area is only part of the video (one lane out of many, specific entry/exit point)

How to set up cropping¶

Drawing

Open the Design tab in AITracker GUI (1)
Add or select a configuration
Enable the "Crop" option (2)
Draw and adjust the rectangle:
Click and drag to position the cropping frame
Grab the handles to resize it
Use different aspect ratio from the dropdown for optimal AI input (recommended)
The cropped area will be enlarged to full frame size during cloud processing

Important: Configure cropping before sending the video to the cloud - it cannot be changed after processing starts.

Working with multiple configurations¶

You can create several measurement configurations from a single video:

Configuration 1: Full frame for main intersection
Configuration 2: Cropped and zoomed on distant pedestrian crossing
Configuration 3: Cropped on far lane for better vehicle detection

Note: Each configuration counts as a separate cloud processing job and incurs additional costs.