Jul 15, 2022
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Face-matching web application
Ongoing

Face-matching web application

$50,000+
more 1 year
United States
6-9
Service categories
Service Lines
Software Development
Domain focus
Other
Programming language
CSS
HTML
JavaScript
Frameworks
Angular.js
.NET

Challenge

People generate thousands of photos during mass sports events. Our team was to build a service for automated face matching and photo search, storing, and sale.
People generate thousands of photos during mass sports events. Our team was to build a service for automated face matching and photo search, storing, and sale.

Solution

We took a few steps to reach our goal. Here are the most important of them: Stage 1: POC We built a proof-of-concept to verify whether matching faces in selfies was feasible. The algorithm we built used AI and deep neural networks. Stage 2: MVP We developed a web application allowing users to search photos by face, store, get access to photos and sell them. Stage 3: PSP integration We added watermarks and payment integration to enable photo purchasing. Stage 4: Going serverless When the platform scaled and attracted more users, server costs increased. We reduced them by implementing serverless architecture. Stage 5: Maintenance We continue to improve and maintain the product and work closely with our partners on the product roadmap.

Results

For each stakeholder group, we provide value: Organizers don’t need to store and provide access to photos themselves; Participants now can quickly find their pictures; Photographers get access to their target audience and can sell photos to them.
For each stakeholder group, we provide value: Organizers don’t need to store and provide access to photos themselves; Participants now can quickly find their pictures; Photographers get access to their target audience and can sell photos to them.