© 2026 Hashnode
The emergence of multimodal systems capable of processing both visual and linguistic input has created new opportunities for natural human-computer interaction. However, real-time computer vision models operate at frame rates measured in milliseconds...

Introduction Traffic monitoring in urban environments is evolving from mere recognition to anomaly detection identifying behaviours that deviate from the norm. In this project, we present a system that monitors live CCTV streams of pedestrian zones, ...

Client: Digital Content Creator & Marketing AgencyDuration: 2 WeeksRole: Machine Learning Engineer & Computer Vision Specialist 🚀 Project Overview The client, a marketing agency specializing in digital content and advertising, needed an AI-powered i...

Overview This project demonstrates how to perform object tracking and annotation using YOLO (You Only Look Once) on a video, leveraging Google Colab for efficient processing and Google Drive for saving outputs. The entire process involves downloading...
