One of the world's largest consumer goods conglomerates wanted to automate time-consuming and labor intensive processes to tremendously increase efficiency and productivity.
Give an existing robotic system new computer vision capabilities to automate multiple physical tasks that currently required human intervention.
Use computer vision and machine learning to automate image analysis, currently a slow and labor-intensive manual process.
Deep learning algorithms require thousands or millions of training images. Our client had less than a hundred.
A company with approximately 100,000 employees needed results that would impact operations at a massive scale.
Shortage of data is often the biggest roadblock to AI development. We specialize in helping clients overcome any obstacle in the data department.
Armed with unique in-house techniques pioneered at AI Dev, we're able to turn a molehill of images into a mountain.
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.
This enables us to deliver advanced automation to clients, even if they don't have substantial data assets.
We integrated custom computer vision models directly into the client's existing robotic infrastructure, enabling machines to identify, classify, and respond to physical objects in real time — replacing tasks that previously required constant human oversight.
Using the amplified training data, we built a high-accuracy image analysis pipeline that automated quality inspection and product classification, turning a slow manual process into one that runs continuously at scale.
Just about one year later
Remarkable numbers for a company with approximately 100,000 employees — proof that AI-driven automation delivers at enterprise scale.
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