Smart parking intelligence for urban operators

Udesa Estaciona helps parking teams understand occupancy, predict demand, and use space more efficiently.

We are building a cloud-based platform for campuses, cities, and private operators that combines computer vision, real-time data processing, and analytics to reduce congestion and improve parking decisions.

Product

A practical operating layer for parking visibility.

Parking decisions are often made with incomplete information. Udesa Estaciona turns camera and occupancy data into useful indicators for daily operations, planning, and future policy evaluation.

Occupancy monitoring

Detects available and occupied spaces from camera feeds and structured parking layouts.

Demand patterns

Tracks usage over time to identify peak periods, underused areas, and recurring bottlenecks.

Operational decisions

Supports data-driven actions for routing, pricing experiments, enforcement, and space allocation.

Technology

Built around computer vision, analytics, and scalable cloud infrastructure.

The platform is being developed as an applied AI product with a modular backend for video ingestion, parking-space geometry, vehicle detection, occupancy estimation, and dashboard-ready analytics.

AWS credits would be used to support compute, storage, APIs, deployment environments, and experimentation needed to move from local prototypes to a reliable cloud-hosted product.

Python-based AI and data processing
Computer vision for vehicle and space detection
Structured occupancy datasets and analytics
AWS-ready compute, storage, and deployment workflows

Stage

From applied research to an early startup product.

Udesa Estaciona started from applied AI work at Universidad de San Andres and is being shaped into a product for organizations that manage constrained parking capacity.

01

Prototype

Computer vision pipeline for detecting cars and estimating parking space occupancy.

02

Validation

Testing with recorded footage, defined parking geometries, and performance diagnostics.

03

Cloud deployment

Next step: scalable data processing, storage, monitoring, and a web dashboard for operators.

Contact

Interested in Udesa Estaciona?

For startup, product, or technical inquiries, contact the founding team through the project email.