AI case study

Delta ElectronicsProduction line simulation

Engineers needed two days to label 1,000 images. Synthetic data now takes 10 minutes, training defect models 100x faster.

Published|2 years ago

Key results

Model Accuracy
90%

Result highlights

Unlock 1 result highlight

The story

Context

A global leader in power and thermal management technologies manages complex, fast-moving electronics assembly lines that require frequent modifications for new products.

Challenge

Reconfiguring physical position switches for new layouts caused over 30 minutes of downtime per switch, making flexible production inefficient....

Solution
Unlock full story

Scope & timeline

  • 100x faster AI training via synthetic data
  • Data generation time cut from 2 days to 10 mins

Quotes

Unlock 1 more quote

The company

Delta Electronics logo

Delta Electronics

deltaww.com

Power and thermal management solutions for industrial, AI, and energy applications.

IndustryTechnology
LocationTaipei, Taiwan
Employees100K+
Founded1971

The AI provider

NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.

IndustryTechnology
LocationSanta Clara, California, United States
Employees10K-50K
Founded1993

Similar Case Studies

Related implementations across industries and use cases

176 AI case studies in Technology

213 AI case studies in Operations