Bleed AI Solutions

race-case-study

Sports  Media

Money On Autopilot with OCR

Imagine Making thousands of dollars 💸 in Autopilot with simple OCR, that’s exactly what we did for our Clients.

Marathons, happen all over the world and often attract thousands of contestants. It is important that each player is valued for their efforts and part of it is to capture their photos that act as a memento for the event. After the race these runners are interested in purchasing these images and posting on their social feeds. But how do you go about sorting between tens of thousands of images to track down snapshots for each runner?

Sports  Media

THE PROBLEM

A Digital agency came to us, this agency used to sell images of marathon runners to them after the race. The problem was when the race ended the runners wanted to get their hands on the images captured so they can save them as a memento or post them on social media to share their achievement. But the photographers in the agency had to sort through thousands of images before they can send them to the runners. This was a laborious process that took forever and resulted in the loss of potential customers and business.

The agency wanted to get rid of the manual labor and automate this and they knew it required AI so they came to us.

THE SOLUTION

We designed an OCR pipeline and a sorting logic and we were able to create a system that takes an entire folder of images (even from different cameras) as input, and creates a database of each individual runner for a quick search and retrieval. This means that as soon as the event ends, players can ask for their images, we can locate them (using bib number) and send them an entire folder consisting of just their images right away, without having to do any manual work.

The End result was that with this automation the agency achieved more business and it also reduced significant human labor. We can even go one step further and apply photoshop filters to create some cool effects on the image and apply cinematic effects

KEY FEATURES

Accurate text detection and OCR

We designed a robust text detection and OCR pipeline in order to detect all images of each runner in all kinds of environments.

Fast Processing

The system was designed to process tens of thousands of images in a couple of hours to extract and sort each and every player through the bib number.

React Web App

 A convenient-to-use web interface was built that is simple yet effective in allowing the user to enter a bib number and get the corresponding image folder as a zip download or browse and edit online before downloading.

Tools & Technologies

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