AI/MLComputer VisionYOLO V5Python

SightScope: Intelligent Object Detection

Intelligent Object Detection and Tracking

PythonYOLO V5OpenCVStreamlitDeep Learning
Strategic Objective

System Overview

A computer vision web application that leverages the YOLO V5 deep learning algorithm for high-precision real-time object identification and tracking.

Technical Leadership

Engineering Governance

AI Engineer implementing deep learning pipelines for real-time computer vision applications.

Deep Tech

Full-Stack Architecture

Pipes real-time media melalui a Python detection pipeline using YOLO V5. Features an interactive Streamlit UI for seamless media upload and instant categorization results.

Business Impact

High-precision real-time object detection reaching 60+ FPS.

Interactive and user-friendly interface for complex AI/ML models.

Sustained object tracking capabilities across changing environmental conditions.

Key Engineering Resolves
Problem

Sustained tracking of objects across dynamic video frames with high precision.

Resolution

Optimized the YOLO pipeline and integrated specialized OpenCV algorithms for efficient frame processing and spatial tracking.