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
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
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.
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