DIGITAL PRODUCT, DATA AND COMPUTER VISION
SAGUI · Urban mobility and transportation engineeringAn end-to-end platform for mobility surveys and intelligence
An ecosystem that brings together offline field collection, origin-destination surveys, video processing, vehicle classification, dashboards and reports.
Talk about this projectTHE CHALLENGE
What had to change.
Mobility surveys combine distributed crews, work without connectivity, purpose-built forms, video and large volumes of data. The challenge was to control that entire cycle without scattering the operation across disconnected tools.
- Collect and validate data even with no internet access.
- Adapt forms and rules to different surveys.
- Process video to count, track and classify vehicles.
- Bring field work, auditing, analytics and results into one place.
THE SOLUTION
What we built.
EAGLE BS built SAGUI as a modular ecosystem. Android apps, a web platform, video processing and analytics all run on the same project and data foundation.
Offline-first collection
Android apps run without a connection, validate answers and sync the data later.
Vehicle classification
Computer vision detects, tracks, counts and classifies vehicles according to each survey.
Data intelligence
Projects, crews, forms, video and results come together in dashboards, maps and reports.
THE IMPACT
What the project made possible.
SAGUI turned a naturally fragmented operation into a traceable flow, from field work to the executive presentation of results.
One integrated cycle
Collection, processing, validation and analysis share the same structure.
Works in any setting
The offline-first approach protects the work when connectivity is limited.
Scale for data and video
The architecture supports large volumes and the platform's continued evolution.
CAPABILITIES APPLIED
Technology and engineering.
- Android offline-first
- Web applications and APIs
- Python
- Computer vision
- Distributed processing
- Dashboards and analytics
- On-premises and cloud infrastructure