BinSensors smart city waste management case study
BinSensors improves municipal waste collection with IoT sensors on bins and a cloud platform that notifies when containers are full. Siblings Software delivered the REST API backend and an Angular web portal with a three-person team (backend, frontend, project manager).
Headline results preserved from the published case: 50,000 gallons of fuel saved, 25,000 driving hours saved in the last year, and adoption by twelve garbage collector companies across five cities. Download PDF.
Reviewed by Javier Uanini, June 2026.
Who is BinSensors?
BinSensors contributes to smart-city programs by making waste collection routes data-driven. Sensors on bins feed an application that dispatchers use to send trucks only when containers need service.
What we delivered
- Full REST API backend on Azure
- Angular portal for bin tracking, drivers, and statistics
- Integrations supporting fuel and time efficiency goals
Related: web development outsourcing, nearshore developers, all case studies.
Frequently Asked Questions
A REST API backend and Angular web portal to track smart bins, drivers, and fuel-efficient routes for municipal waste partners across Latin America.
A three-person team: backend engineer, frontend engineer, and project manager, cloud-native on Azure.
50,000 gallons of fuel saved and 25,000 driving hours saved in the last year, with adoption across twelve garbage collector companies in five cities.
Yes. A PDF is available on this page alongside the narrative summary.
See IoT and web development outsourcing, dedicated teams, and staff augmentation links in the body.