Developed a custom computer vision platform for automated multi-camera image capture, AI-powered object segmentation, GPU-accelerated image processing, and cloud-based asset management. The solution leveraged Golang, Python, React, GStreamer, SAM2, and Google Cloud Platform to automate the creation of high-quality 360-degree visual assets at scale.

 

Automated Multi-Camera Imaging & Computer Vision Platform

Lead Full-Stack & AI Systems Developer

Overview

Designed and developed a high-performance imaging platform that automated the capture, processing, segmentation, and cloud storage of multi-angle object photography. The system combined computer vision, AI-powered segmentation, GPU acceleration, and cloud infrastructure to create a fully automated image processing workflow.

Key Contributions

  • Designed and implemented a multi-camera capture system supporting synchronized image acquisition across 10 camera devices.
  • Developed a web-based dashboard enabling operators to initiate capture sessions and manage imaging workflows.
  • Built a session-based image processing pipeline capable of generating complete 360-degree object image sets from multiple viewing angles.
  • Implemented AI-powered object segmentation workflows using advanced computer vision models to automatically isolate selected objects from complex backgrounds.
  • Developed video-assisted object tracking and segmentation processes to improve consistency across large image sets.
  • Built automated image processing pipelines that generated production-ready assets from raw captured images.
  • Integrated cloud storage workflows for automated asset delivery and long-term storage.
  • Designed local-first processing architecture with automatic synchronization to cloud infrastructure upon successful completion.
  • Implemented GPU-accelerated processing pipelines to significantly reduce image processing times.
  • Developed fault-tolerant workflows with comprehensive error handling, validation, and recovery mechanisms.
  • Delivered cross-platform support for both macOS and Linux environments.