YOLOE-Unified is a novel framework that integrates YOLOE with distilled CLIP, runtime SAM refinement, and TensorRT optimization for efficient open-vocabulary object detection and instance segmentation on edge devices (Jetson Orin, etc.).

High-performance, multi-GPU computer vision pipeline for Genetec streams using NVIDIA DeepStream, Triton, and Numba JIT to track personnel, evaluate weapon threats, and perform in-VRAM OCR analytics.

SuperPoint keypoint detector optimized for edge deployment: PyTorch → ONNX → TensorRT FP16. 32× speedup (14.66ms → 0.45ms, 2203 FPS) on Tesla T4. Targets Jetson Orin Ampere FP16 pipeline for real-time Visual SLAM.