Case Study: Leading Restaurant Automation Provider achieves 37x faster labeling and 99% annotation accuracy with Encord

The automation provider tracked objects across different views & replaced 37 annotation hours with 1

Leading Restaurant Automation Provider faced inconsistent and costly annotations as they tracked objects across different camera views under changing weather and lighting. To address this, they worked with Encord and applied Encord's micro-model and interpolation modules to improve cross-view object tracking and labeling consistency.

Encord deployed those modules to automate tracking and interpolate labels, replacing 37 annotation hours with 1 and delivering a 37x increase in labeling efficiency. The solution raised annotation accuracy from 94% to 99%, demonstrating a measurable boost in both speed and quality driven by Encord.