Creating Realistic 3D Models with an AR LiDAR Scanner-Based Mobile Application

about Lidar Scanner

This project demonstrates the development and benefits of using LiDAR scanning technology to convert real-world environments into highly accurate 3D models. The mobile application utilizes LiDAR sensors to capture detailed spatial data, offering users the ability to create precise 3D models for planning, visualization, and sharing on social media.

The Challenge

  • Managing Large Data Volumes: LiDAR scanning generates massive amounts of data, requiring efficient storage, processing, and optimization to ensure smooth performance and accurate 3D model creation.
  • Ensuring Accuracy: Achieving high precision in 3D models despite the inherent challenges of varying environments, such as distance, angles, and object complexity.
  • Handling Environmental Factors: Adapting to changing weather conditions, lighting, and surface textures, which can impact the quality and accuracy of the LiDAR scan and the resulting 3D model.
  • Device Limitations: Ensuring the application performs consistently across various mobile devices with different LiDAR capabilities and hardware specifications.

What did
TechGigs do

TechGigs developed an AR-based mobile application that leverages LiDAR scanning to transform real-world environments into accurate 3D models. The app features a user-friendly interface with multiple view options, allowing users to explore the model from different perspectives.

  • Multiple View Options: The app supports views such as Top View, Third-Person View, and Ortho View, providing flexibility in how users interact with the 3D model.
  • Rendering Options: Integrated rendering features like Backface, Lighting, and Wireframe, allowing users to customize the visual presentation of the 3D model.
  • CloudMesh Integration: Users can apply CloudMesh features like Texture Mesh, Mesh, and Point Cloud for enhanced realism and detail in the 3D models.

The Results

The technology that we use to support Lidar Scanner App

XCode
Android Studio
Lidar Scanner Sensor
Python
C++
Objective-C

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