AR & AI Implementation in the Mobile App using BASNet

Explore how augmented reality and artificial intelligence enable developers to extract and animate objects from real-world surroundings using mobile phones.

December 1, 2023
1 min read
By RayMish
AR & AI Implementation in the Mobile App using BASNet

AR & AI Implementation in Mobile Apps Using BASNet

Imagine extracting your favorite superhero from real life and watching them interact within your actual surroundings using your phone's camera—this is now possible through advanced AR and AI technologies.

Core Technology: BASNet

The Boundary-Aware Salient Object Detection (BASNet) model enables salient detection and background removal. This AI framework isolates objects from their environments and requires PyTorch and Torchvision libraries.

Image Processing Pipeline

Image refinement and compositing rely on Python and Pillow (Python Image Library) to seamlessly integrate extracted objects into new environments.

Mobile Implementation

The app uses React Native for cross-platform development across iOS and Android, ensuring consistent user experiences across devices.

Practical Applications

Examples include visualizing Spider-Man swinging indoors or Bumblebee transforming in your backyard—demonstrating how AR/AI integration revolutionizes digital content interaction.

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