Deep Learning + IoTEHS / Sustainability⚡ In Progress
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Waste Classification AI

AI-powered waste stream intelligence — turning disposal points into sustainability assets

Strategic Challenge

Waste contamination — recyclables mixed with general waste — costs enterprises millions in disposal fees, compliance penalties, and missed sustainability targets. Manual sorting is inconsistent, unscalable, and produces no data. Organisations cannot report on, improve, or certify what they cannot measure.

Our Solution

A TensorFlow Lite vision AI model deployed on edge hardware at disposal points that classifies waste items in real time — Battery, Bio-Waste, Cardboard, Paper, Plastic — and feeds a sustainability data layer for compliance reporting and continuous improvement.

Business Impact

Sorting accuracy improvement over manual processes
Real-time sustainability data for ESG reporting
Edge deployment — no cloud dependency, no latency

How It Works

1

Camera at disposal point captures image of waste item in real time

2

TensorFlow Lite model classifies item into waste category on edge hardware

3

Classification data feeds sustainability dashboard for ESG reporting and compliance

Deployment

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Edge devices (Raspberry Pi, NVIDIA Jetson) · Compatible with any cloud IoT edge platform

Technology Stack

TensorFlow LiteOpenCVPythonEdge AICOCO modelNumPy
Available as SaaS

Deploy this in weeks, not months

Deploy this innovation into your environment in weeks — hosted, managed, and supported by Nexera. No long implementation cycles. No lock-in.

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