You will get Real-Time Object & Person Tracking System (YOLOv8, WebRTC)
Project details
I provide a production-ready, privacy-first Computer Vision solution that tracks objects in real-time. Unlike standard scripts, my system is a fully containerized architecture (Docker, FastAPI, Streamlit) that delivers live analytics without storing sensitive video footage. It is highly adaptable, allowing for quick deployment to track anything from people to industrial components. You get a professional, low-latency dashboard ready for immediate use.
Machine Learning Tools
NumPy, OpenCV, pandas, Python, TensorFlowWhat's included $60
These options are included with the project scope.
$60
- Delivery Time 2 days
- Number of Revisions 2
- Model Documentation
- Data Source Connectivity
About Marek
Business Automation & Computer Vision Engineer | Invoice AI YOLOv8
Gdansk, Poland - 11:16 pm local time
What I deliver:
— Invoice & document extraction (YOLOv8 + OCR, structured JSON output, 95%+ accuracy)
— Business process automation (Python, n8n, Make, API integrations)
— Computer vision systems (defect detection, object counting, real-time camera analysis)
Every project I deliver is production-ready, documented, and built to scale. I don't disappear after handoff.
Currently available for fixed-price projects and retainers. Message me with your bottleneck — most projects scope out in one conversation.
Steps for completing your project
After purchasing the project, send requirements so Marek can start the project.
Delivery time starts when Marek receives requirements from you.
Marek works on your project following the steps below.
Revisions may occur after the delivery date.
Environment Setup
I will deploy the containerized architecture on your hardware, ensuring all services (FastAPI backend and Streamlit frontend) are correctly configured and running.
Video Stream Integration
I will integrate your video source using WebRTC for low-latency, real-time streaming, which ensures privacy by processing data directly in memory without storing sensitive footage on the disc.