I will develop a people counter ai using cctv for retail foot traffic tracking

Netherlands

I speak English

AI People Counting And Foot Traffic Analytics for Smarter Retail

Hi, I'm Michael, I help retailers, malls, and businesses turn existing cameras into real time people counting and foot traffic tools. Using computer vision YOLO/OpenCV, I build systems that count cust...
About this Gig

Already have CCTV cameras installed but no idea how many customers they're actually seeing walk in? You don't need new hardware you need the right AI. I turn your existing CCTV footage into accurate, real-time foot traffic data using computer vision (YOLO/OpenCV), so you can finally answer "how many people visited my store today" without buying expensive counting sensors.


This gig is built for retailers, mall managers, and agencies searching for "CCTV people counting software" or "convert CCTV to foot traffic analytics." I detect, track, and count people passing through your existing camera feed, then hand you clean, usable reports daily counts, peak hours, entry/exit flow so you can plan staffing, marketing, and layout with real numbers instead of guesses.


What I Will Do

  1. Analyze your existing CCTV feed for compatibility
  2. Build a custom YOLO/OpenCV people counting model
  3. Track entries, exits, and net foot traffic
  4. Identify peak hours and slow periods
  5. Filter staff/repeat movement from counts
  6. Deliver daily/weekly traffic reports
  7. Set up occupancy-limit alerts


Send me a sample clip from your camera and I'll tell you exactly what's possible free, no obligation.

APIs:

Microsoft Computer Vision AI

Amazon Rekognition

Expertise:

Image processing

Feature learning

Classification

Programming language:

Python

R

MATLAB

SQL

Colab

Tools:

Jupyter Notebook

OpenCV

OpenNN

TensorFlow

MLflow

SimpleCV

Frameworks:

Scikit-learn

DeepPy

Google ML Kit

SimpleCV

Keras

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