IoT / CV·2025·Case study

SmartBin.

Computer vision waste sorting system

Category
IoT / CV
Year
2025
Practice
Jetson Nano
Phase
Shipped
https://smartbin-ppt.netlify.app/
SmartBin cover
Project
SmartBin
Computer vision waste sorting system
Case study

Problem, solution, and result.

A tighter story that reads like a real client case study.

Problem

Contamination rates in recycling streams are too high — sorting must happen at the source.

Solution

On-device CV models that classify and route waste at the bin level, with cloud telemetry for cities.

Result

63% lower contamination · 2.1× collection efficiency

Solution architecture

A system designed to last.

Edge-native, observable and built for compounding velocity.

Module
Edge CV inference
Module
Cloud telemetry
Module
Municipal dashboard
Module
Edge
Core
Jetson Nano
Project evidence

What was actually built.

A useful snapshot of the product and system behind the case study.

What changed
Challenge

Contamination rates in recycling streams are too high — sorting must happen at the source.

Solution

On-device CV models that classify and route waste at the bin level, with cloud telemetry for cities.

Project notes
Category
IoT / CV
Year
2025
Primary stack
Jetson Nano
Type
Hardware + Software
Core surface
SmartBin main project visual

A project-specific visual that anchors the story without relying on a generic category mockup.

Project highlights
  • Real-time classification
  • Fill-level prediction
  • Route optimization
System snapshot
Edge CV inferenceCloud telemetryMunicipal dashboard
Outcome
63%
Less contamination
2.1×
Collection efficiency
Features

Crafted surface. Considered system.

Grouped so the product read feels intentional instead of crowded.

Core experience

  • Real-time classification
  • Fill-level prediction

Platform & systems

  • Route optimization
Exact stack used

These are the actual technologies used in this project, not a curated shortlist.

Jetson NanoPyTorchFastAPI
Future scope

City-scale waste intelligence network.

Frequently asked

The story behind this work.

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