Real-Time People Counting Using YOLOv8 | AI + Computer Vision Demo
In this video, I showcase a real-time people counting system powered by YOLOv8, one of the most advanced object detection models available today.
Key Features of the System:
Real-time object detection using YOLOv8n
Accurate identification of people in video streams
Smart line-crossing logic to count entries and exits
Duplicate detection filtering to ensure reliable counts
Frame-by-frame analysis and temporal visualization
Applications:
Crowd monitoring
Smart surveillance
Retail footfall analytics
Event safety management
Smart city infrastructure
Technologies Used:
YOLOv8 (Ultralytics)
Python + OpenCV
Deep Learning inference on video data
If you're interested in AI, computer vision, or developing intelligent systems for real-world environments, this demo will give you a practical look into deploying object detection models.
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