TetraNoodle Case Study: Helping Wearables Technology Company with Deep Learning Tech

How we helped

Wearables Technology Company

in developing their technology with Deep Learning Tech

Wearables Technology Company 5-98

Business Problem

Company needed to build cutting-edge platform for capturing foot images from the mobile phone and very accurately size the anatomy of the foot (within 2mm of the actual).

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Foot Anatomy
within 2mm of the Actual

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Impact

The whole business depended on this solution to work accurately and efficiently. Without proper automation – it would have been impossible to scale the business.

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5% to 98%
Increase In Accuracy

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Increased
Scalability 

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Our Solution

quick

Better Lead Times and Increased Accuracy

– Each order processing time was reduced from 30 seconds to 2 seconds

– Accuracy increased from 5% to 98%

Solution Development

– Tried various traditional computer vision techniques with limited success.

– Then tried cutting edge deep learning based algorithms with spectacular results

eye tetra

Check How we helped Ride-Sharing App in reducing Development Cost by 90%

scalable

Enhanced Scalability

– We also implement an efficient and scalable process to collect tons of data. Accurate data is paramount for the implementation of deep learning

– We also added processes to enhance the data for even more accuracy

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