Case Study | Money On Autopilot with OCR

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Money On Autopilot with OCR

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

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Project Overview

Project Name

Money On Autopilot with OCR

Industry

Objective

Introduction

Project Introduction

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?

Problem

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.

Solution

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

How It Work

Here's how it works

It puts out accurate job specifications and leverages AI to produce job postings that reach the suitable candidate.

I searches career portals and social media for top candidates, and automatically matches resumes to job descriptions, ensuring only the most suitable candidates are shortlisted

The platform helps with interview questions and provides specialized tests to assess candidates’ skills.

Facilitates the job offer to negotiation and final onboarding process to its best capabilities

━ Key Features

We designed a robust text detection and OCR pipeline in order to detect all images of each runner in all kinds of environments.
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.
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.
The web interface includes a search function that allows the user to search for specific runners by name or bib number, making it easier to locate and download the desired images.
The system includes a feature that automatically detects and removes any duplicate images to ensure that each player is only associated with one unique image.

Technologies

Tools & Technologies

Feedback

Client Feedback

“This platform has already made a huge difference. The amount of time we’re saving is incredible, and the automation is working exactly as we hoped.”

Martyn

Results

Deliverables:

It puts out accurate job specifications and leverages AI to produce job postings that reach the suitable candidate.

I searches career portals and social media for top candidates, and automatically matches resumes to job descriptions, ensuring only the most suitable candidates are shortlisted

Benefits:

The platform reduces the proportion of manual tasks in the recruitment process to a very minimum, thus allowing HR professionals to focus on more strategic work.

CV matching and candidate assessments through AI help the platform avoid human intervention and shorter time-to-hire, and decrease the possibility of hiring the wrong people.

It is extensively cost-effective because, through automation, it eliminates burdensome tasks and thus is able to conduct recruitments at relatively cheap costs

━ Conclusion

Our innovative image recognition technology for marathons solved the challenge of sorting through tens of thousands of photos to track down snapshots of each runner. By using advanced algorithms to recognize and categorize images, the system made it easy for runners to find and purchase their race photos. The project demonstrated the potential of technology to enhance the experience of participating in public events and highlighted the importance of providing personalized mementos to participants. The technology could be applied to other large-scale events, such as concerts and festivals, to improve the experience for attendees and provide them with lasting memories.