Real-time point cloud processing and video pipeline on NVIDIA Jetson Nano, with C2PA image signing on i.MX.
A computer vision system combining LiDAR point cloud processing with real-time video pipelines, deployed on NVIDIA Jetson Nano for robotics and drone applications. Separately, C2PA content authenticity signing implemented on i.MX platform.
Point cloud acquisition and processing pipeline built on Jetson Nano. Real-time processing for obstacle detection and spatial awareness. Bandwidth reduction applied to camera network streams running on the same hardware.
Content authenticity signing and verification implemented on i.MX platform using the C2PA standard. Allows media captured by the device to carry a verifiable provenance record, enabling downstream verification of content authenticity.
Apple AR app developed in Swift using ARKit for image-based distance measurement. Uses the device camera and ARKit spatial understanding to measure distances without additional hardware.
Python for the Jetson pipeline orchestration. C/C++ for performance-critical processing components. Swift and ARKit for the iOS AR application. C2PA implementation in C on the i.MX platform.