Task
Automation
One of the world's largest consumer goods conglomerates wanted to automate time-consuming and labor intensive processes to tremendously increase efficiency and productivity.
Two distinct systems.
One impossible constraint.
Robotic Vision
Give an existing robotic system new computer vision capabilities to automate multiple physical tasks that currently required human intervention.
Image Analysis
Use computer vision and machine learning to automate image analysis, currently a slow and labor-intensive manual process.
The Data Problem
Deep learning algorithms require thousands or millions of training images. Our client had less than a hundred.
The Stakes
A company with approximately 100,000 employees needed results that would impact operations at a massive scale.
Data Solutions
Identify the Bottleneck
Shortage of data is often the biggest roadblock to AI development. We specialize in helping clients overcome any obstacle in the data department.
Data Augmentation
Armed with unique in-house techniques pioneered at AI Dev, we're able to turn a molehill of images into a mountain.
Continuous Expansion
Meanwhile, their team would marshal an army of interns to generate a steady stream of new images, each one becoming a thousand through our augmentation.
Proprietary techniques expanded
the dataset one thousand fold
This enables us to deliver advanced automation to clients, even if they don't have substantial data assets.
The Results
Just about one year later
North American plants were able to produce and ship over 20% more products, while e-commerce grew over 30%. Remarkable numbers for a company with ~100,000 employees.
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