My Projects

4-Channel Object Detection

YOLO + Depth Integration

Developed an object detection algorithm by modifying YOLO to process images with four channels — the standard RGB plus a depth channel captured using an Azure Kinect sensor.

  • YOLO Customization
  • Depth Data Integration
  • Computer Vision

MDPrognosys

Augmented Reality in Medicine

Leveraging Meta 2 to create immersive 3D tomography models, aiding doctors in analyzing patient anatomy.

  • Augmented Reality
  • 3D Visualization
  • Healthcare

The report is in Portuguese.

Cloth Simulation

Real-time 3D Rendering

Reproduced the paper "Real-time cloth simulation with fiber level detail", implementing an interactive web demo in Three.js environment.

I recommend playing with the "Animate" section to view the app working, just enable the animation boxes one at a time.

  • Three.js
  • WebGL
  • 3D Simulation
Project 1

Thesis

Tracking Applications Classifying Human Actions

Using advanced technologies to monitor and classify human actions in sports, providing insights for athletes, coaches, and spectators.

  • Data Analysis
  • AI/ML
  • Sports Tracking

Certificates

Specialization Diploma in Software Engineering

PUC-RIO, Brazil

Completed a specialization diploma in Software Engineering, equivalent to Bac+5 level, with a total workload of 480 hours.

  • Year of completion: 2024
  • Workload: 480 hours
  • Level: Bac+5 equivalent

WEBGL Rendering

threejs-journey.com

Completed a certificate exploring rendering objects in WebGL with dynamic camera movements, gaining hands-on experience in graphics programming.

  • Year of completion: 2024
  • WebGL
  • 3D Rendering
  • Interactive Design

About Me

Hi! I’m Daniel Faller, a post-graduate Software Engineering student at PUC-RIO with a background in Computer Science. With a passion for problem-solving and innovation, I’ve developed various projects in diverse areas including AI, AR, and Web Development.

View LinkedIn