AI-Driven Waste Segregation and Smart Bin System

AI-Driven Waste Segregation and Smart Bin System with AWS Rekognition and SageMaker

OneData’s Smart Bin & Waste Segregation System combines IoT sensor networks, edge or cloud-based computer vision, and predictive analytics to revolutionise waste management infrastructure. By utilising connected bins, fill-level sensors, cameras and intelligent analysis, the solution helps organisations shift from manual sorting and reactive collection to automated waste classification, smarter routing and real-time operational visibility.

Architecture & AWS Integration

• Each smart bin is equipped with vision sensors (e.g., cameras) and/or fill-level sensors; data is ingested via IoT connectivity and optionally processed at the edge using AWS IoT Greengrass to reduce latency or bandwidth load.

• Visual frames or images are analysed using Amazon Rekognition (or custom SageMaker models) to classify waste types (e.g., recyclables vs general, glass, metal, plastic) and detect anomalies such as contamination or improper disposal.

• The analytics engine built with Amazon SageMaker continuously learns from the data, improving classification accuracy and predicting when bins will reach capacity or need servicing.

• Data from bins (classification results, fill-levels, collection history) is stored and aggregated in time-series or analytics databases; dashboards and reports surface insights on waste volume, segregation effectiveness, collection scheduling and cost-savings.

• The platform integrates workflows to trigger collection truck dispatch when fill-levels exceed thresholds, to reroute trucks based on real-time data, and to alert operators about overflowing bins or illegal dumping.

• OneData’s managed services ensure scalability, device-management, security, compliance and full lifecycle support—from device onboarding to model deployment, monitoring and optimisation.

Features

• Real-time waste type classification at bin-level using computer vision

• Fill-level monitoring and predictive forecasting of servicing needs

• Route-optimisation for waste collection trucks reducing fuel, time and emissions

• Dashboarding and reporting on waste segregation metrics, recycling rates, cost-savings

• Edge-computing capability (via IoT Greengrass) for deployments with limited connectivity

• Easily integrate with municipal/enterprise waste management systems (ERP/asset systems)

• Scalable deployment: from single campus smart-bins to city-wide networks

• Security and device-management included via AWS services and OneData’s expertise

Use Cases

• Municipalities deploying smart-bins across urban areas to optimise collection and improve recycling rates

• College or corporate campuses installing smart-bins for recycling and waste management insights

• Industrial parks monitoring waste streams and bin usage for sustainability reporting

• Retail/mall complexes deploying smart-bins to reduce manual sorting, manage fill-levels and maintain site cleanliness

Business Impact

With OneData’s offering, organisations gain enhanced operational efficiency, improved recycling/sustainability metrics, and lowered waste collection costs. Real-time bin data and route optimisation mean fewer missed collections, less overflowing waste, and a more responsive waste operation. The AI-driven segregation capability boosts diversion from landfill and supports circular-economy goals. Backed by OneData’s AWS-expertise, this solution delivers a secure, scalable, future-ready platform for smarter waste management.