Instrument

Computer Vision

Level: 9/10 | Type: Visual Perception & Deep Learning | Domains: Multi-Object Tracking, Segmentation, Real-time CV Pipelines & Sensor Fusion

Specialist in real-time computer vision pipelines, multi-object tracking (YOLO, MOTA benchmarks), convolutional neural networks (Mask R-CNN), and edge AI inference.

Level: 9/10

Computer VisionOpenCVPyTorchYOLODeepSORTMask R-CNNFFmpeg

Extensive specialist experience in computer vision, visual deep learning, and multi-sensor tracking architectures. Architected production CV engines combining YOLO object detectors, DeepSORT/ByteTrack multi-object trackers, Mask R-CNN human muscle segmentation, 360° LiDAR depth fusion for unmanned surface vessels (NAVIROX), and high-throughput real-time video streaming with OpenCV and FFmpeg.

Where this has actually been used

Products

VERSEYE

Projects

Zero-Shot & Open-Vocabulary Visual Tracking Suite
Tracker Failure Simulator — Visual Multi-Object Tracking & Evaluation Lab
NAVIROX — Autonomous Unmanned Vessel CV & 360° LiDAR Fusion POC
AI Diet & Exercise Recommendation System (BSCS Capstone)

Publications

A Convolutional Neural Network-based Framework for the Assessment of Human Muscles

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