Ko-Cha!

Face Detection Photo Combat App

Cross-Platform Mobile App Development for Headshot Mofo and Their First of Its Kind Face Detection Photo Combat App.

Summary

Antiblanks Were Approached by Headshot Mofo To Help Them Build a Complex First of Its Kind Face Detection iOS and Android Photo Combat App.

Headshot Mofo are an emerging indie app development company founded by David Stott. Ko-Cha! was their debut app that would pave the way for more adventurous disruptive mobile gaming apps.

Backstory

Antiblanks Were Recommended to Headshot Mofo by a Mutual Colleague. Antiblanks Had No Existing Relationship With Headshot Mofo but Were Sold to Founder David To Be Experts in Mobile App Development, Highly Capable of Achieving Adventurous Technical Builds.

Problem

Ko-Cha! Offers Users an Enthralling Augmented Reality (AR) Experience, Much Like the Popular Laser Quest Game. The App Combines State-of-the-Art Face Detection Technology To Enable Users To Participate in Digital Combat Scenarios Within Their Real-World Surroundings. With a Focus on Providing an Immersive and Exhilarating AR Video Combat Experience, the App Pushes the Boundaries of Mobile Gaming.

1. Cross-Platform Compatibility

To reach a broader audience, it was imperative for Ko-Cha! to be accessible on both iOS and Android platforms. However, native iOS and Android development introduced significant disparities, with different programming languages, tools, and capabilities. These differences made it challenging to deliver a consistent gaming experience to users on both platforms.

2. Inconsistent Face Detection Capabilities

Native face detection features on iOS and Android exhibited noticeable variations in performance, functionality, and accuracy. These disparities resulted in inconsistencies in executing digital combat scenarios, leading to frustration and an uneven gaming experience.

3. Face Detection Inaccuracies with Moving Targets

To offer a realistic AR combat experience, precise and real-time face detection was crucial. However, existing face detection systems struggled to accurately track and identify moving targets, causing interruptions during gameplay and diminishing the immersive nature of the app.

Solution

1. React Native for Cross-Platform Development

By adopting React Native, the team developed a single, unified codebase for both iOS and Android. This streamlined the development process, eliminating the need for separate codebases, and ensuring users on both platforms enjoyed a consistent gaming experience.

2. Leveraging Native Face Detection on iOS and Android

Antiblanks Limited integrated native face detection capabilities on both platforms while adding a custom functionality layer on top. This approach allowed the app to harness the unique strengths of each platform, resulting in improved accuracy, performance, and a more consistent user experience.

3. Advanced Face Detection Algorithms and Custom Functionality

The team incorporated advanced face detection algorithms and custom functionality optimised for tracking moving targets. This technology significantly improved the accuracy of face detection and tracking, offering a more seamless and immersive AR combat experience.

The Outcome

By Leveraging React Native and Building Custom Functionality on Top of Native Features, Antiblanks Created an Immersive AR Video Combat App That Provides Users With an Exhilarating and Seamless Experience on Both Major Mobile Platforms.

David Stott, the founder of Headshot Mofo is delighted with the performance and the reliability of the mobile gaming experience within the app, and continues to work with Antiblanks to run and scale the product.

Performant and Engaging AR Gaming Experience

Accurate and Consistent Cross-Platform Face Detection

Acquired Early Adopting Users to Gain Traction

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