I will build real time object detection tracking system using yolov8 deep sort

This gig is designed for startups, SaaS founders, security companies, research teams, and automation projects that need reliable performance in real-world conditions not just lab examples.

What this gig delivers:

• I will design and implement a complete object detection + tracking pipeline, including:
• Object detection using YOLOv8 (or YOLOv5 if required)
• Multi-object tracking with Deep SORT or ByteTrack
• Unique tracking IDs with consistent identity across frames
• Bounding boxes, trajectories, and movement paths
• Support for video files, webcam, IP cameras, and RTSP streams
• Frame-by-frame logging of object position and time
• Export results in CSV, JSON, or database-ready format
• Optional heatmaps, zone analytics, and event triggers
• Real-world use cases

This system is ideal for:

• CCTV surveillance and perimeter security
• Retail footfall and customer movement analysis
• Vehicle and people tracking
• Robotics and automation vision systems
• Industrial monitoring and smart facilities

Performance & deployment

I focus heavily on:

• FPS optimization
• Tracking stability under occlusion
• Low-light and crowded scenes
• Deployment on PC, cloud servers, Jetson Nano, Xavier, Orin, or edge devices

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