Synteza

E-commerce leaders are racing to automate warehouses, fulfillment centers, and last-mile logistics. But training the computer vision models that power robots, scanners, and QA systems is slow, expensive, and often fails in rare real-world scenarios.

This session will show how synthetic data solves the bottleneck. By generating realistic, perfectly annotated images of parcels, labels, barcodes, and edge cases (damaged boxes, poor lighting, unusual stacking), synthetic data enables companies to train and deploy vision systems in days instead of months—at a fraction of the cost.

Attendees will learn:

Why traditional data collection and labeling slows down automation projects.

How synthetic datasets accelerate development of perception models for robotics and quality control.

Real-world examples of cost savings and time reduction in computer vision workflows.

Whether you’re scaling operations or building the next generation of autonomous systems, synthetic data is the invisible backbone that makes automation faster, cheaper, and more reliable.