I will build object counting and footfall analytics system from your cctv feed

Turn your existing CCTV cameras into a live business intelligence tool no new hardware required.

Are you losing valuable insight about your customers because your CCTV footage goes unwatched? I build production-grade AI systems that automatically count visitors, track peak hours, monitor crowd density, and generate daily/weekly reports all from your existing camera infrastructure.

What you will receive

• Real-time or recorded video customer counting using YOLOv8 + DeepSORT tracking
• Entry/exit line-crossing detection with hourly and daily totals
• Peak hour identification and crowd heatmap generation
• Automated daily summary reports (PDF or CSV export)
• Dashboard integration (Grafana, custom web UI, or raw data feed)
• Full source code, documentation, and deployment guide
• Support for single or multi-camera setups

Why choose this gig

• Built on production-tested pipelines not demo prototypes
• Works with any standard IP camera (RTSP/ONVIF) or uploaded video file
• Deployable on cloud (AWS/GCP) or on-premise edge devices (NVIDIA Jetson)
• Accuracy above 95% in standard retail and indoor environments
• Clean, well-commented Python code easy to maintain or extend