Adding the depth estimation module to digital avatars for existing NFT marketplace to improve their accuracy.
Developed a depth estimation module to improve the realism and detail of digital avatars through advanced 3D rendering and camera calibration
Successfully integrated the depth estimation feature into the existing NFT platform, boosting user engagement and profitability
This project focuses on developing an interactive media marketplace that empowers users to create, share, and trade digital collections across multiple ecosystems. The platform integrates advanced creation tools, allowing users to design unique content effortlessly. It also features NFT (Non-Fungible Token) capabilities, enabling users to tokenize and monetize their digital assets securely.
The client already had a successful marketplace featuring NFTs for mobile devices, but they wanted to enhance digital avatars with greater detail and personalization. A key challenge was that the existing digital avatar system did not account for the distance between the device and an object (such as a human), which affected the avatar’s accuracy.
Our primary task was to develop and integrate a missing component that would allow the platform to accurately estimate the distance between objects (e.g., a human and a camera) and improve the overall quality of digital avatars.
We implemented a depth estimation module using Convolutional Neural Networks (CNNs) with specialized configurations, including deep layers, optimized kernel sizes, and pooling layers. This module captured essential patterns such as the apparent size of known objects, perspective, distance, and scale, enabling accurate identification of the spatial layout and the distance between objects (e.g., a human and the camera).
We calibrated the camera sensors to perform robust 3D rendering, significantly enhancing the accuracy and realism of digital avatars.
After developing the depth estimation module, we successfully integrated it into the existing platform, which was built using MediaPipe. This integration ensured that all components worked seamlessly together.
By enhancing the AI algorithm and computer vision technology, the client significantly improved the quality of digital avatars, resulting in a better user experience. These improvements led to higher NFT sales and increased profitability for the client.
AI Startup
Germany
Tensorflow, AWS, MediaPipe
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By refactoring the architecture, implementing AI-driven data preprocessing and visualization, and streamlining deployment with DevOps, we delivered a scalable, cost-effective solution.
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