Computer Vision
Research prototypeRetail Analytics & Customer Behavior
Problem
In-store conversion decisions rely on guesswork without visibility into how shoppers move and interact.
System
A computer-vision workflow that tracks customer journeys and product interactions using pose estimation, then aggregates the signals into behavioural analytics.
My contribution
Implemented the tracking and pose-estimation pipeline and the analytics aggregation layer.
System architecture
- Camera feed
- Detection and pose estimation
- Tracking
- Analytics aggregation
Technical focus
- Pose estimation
- Object tracking
- Behavioural analytics
Technology stack
- PyTorch
- OpenCV
- Pandas
Data source
Dataset and data-collection write-up is being prepared.
Data pipeline
Ingestion and preprocessing write-up is being prepared.
Model or LLM workflow
Model and workflow write-up is being prepared.
Evaluation and results
Evaluation setup and results write-up is being prepared.
Challenges and engineering decisions
Key engineering decisions write-up is being prepared.