Koboodle

Face Recognition Software Powered by Machine Learning

Clickfree, a backup storage device company, wanted to add private photo sharing as a value add for its customers but had no face recognition system to power it. Ollon augmented Clickfree's team, building the Kooboodle iOS and Android apps with a machine learning face recognition system for photo sharing. Ollon delivered a working prototype within three months for Clickfree to showcase publicly.

Situation

Clickfree, a backup storage device company, wanted to offer private photo sharing as an exciting value add for their customer base.

Solution

Ollon helped by developing the Kooboodle iOS and Android apps. Using machine learning, the team developed a face recognition system for photo sharing among friends.

Results

Ollon augmented the Clickfree internal team with our seasoned developers to meet rigorous targets. In the first three months, we delivered a working prototype the client could showcase at CIS. From there, we went on to build multiple releases, refining and streamlining the product and its user experience based on customer feedback.

Technologies

C#, Xamarin, OpenCV, Python

Our Expertise in Action

Team augmentation and staff scaling

Clickfree, an established backup storage device company, wanted to add private photo sharing to its product line without building out a whole new internal team to do it. Ollon augmented Clickfree's existing team with experienced developers, working against tight delivery targets from the start. That augmented team delivered a working prototype within three months, one Clickfree could showcase at CIS, and continued on to build multiple further releases, refining the product and its user experience based on direct customer feedback. The engagement scaled from an initial prototype into an ongoing build across several product releases.

Machine Learning

Private photo sharing among friends only worked as a feature if the app could recognize who was in a photo, not rely on people tagging themselves manually. Ollon built a face recognition system for the Kooboodle app using machine learning, developed in Python and OpenCV alongside the main C# and Xamarin codebase. That recognition system was the core piece that let Clickfree offer photo sharing as a genuine value add for its backup storage customers, not just a basic photo upload feature. The system went through multiple releases as Clickfree refined the product based on real customer feedback.

Mobile Application Development

Clickfree needed its private photo sharing idea to work as a real iOS and Android app its backup storage customers could install and use. Ollon built the Kooboodle app for both platforms using C# and Xamarin, supporting iOS and Android from one shared codebase. That mobile build carried the face recognition and photo sharing features Clickfree wanted, and went through several releases as the team refined the app's functionality and user experience based on customer feedback after launch.

Rapid prototyping

Clickfree needed something it could actually show a room full of people at CIS within a matter of months, not a fully finished product. Ollon delivered a working prototype of Kooboodle within the first three months of the engagement, giving Clickfree a real, demonstrable app for the trade show instead of a slide deck describing an idea. That early prototype became the foundation for the product, carried forward into multiple further releases as Clickfree gathered real customer feedback and refined the experience. Speed to a working demo mattered as much as the underlying technology itself.