ProductUpdated on 16 March 2026
VisnLine — End-to-End Vision AI Platform for Waste & Recycling Operations
CEO at SmartEnds
Ghent, Belgium
About
VisnLine is SmartEnds' end-to-end Vision AI platform for the waste and recycling industry. It combines real-time image capture, AI analysis, and a cloud software platform to give waste operators, municipalities, skip hire companies, and recyclers complete visibility into every container in their network — from the moment waste is deposited to the point it is collected and processed.
At its core, VisnLine uses AI-powered cameras deployed inside wheelie bins, skips, and roll-off containers, or pole-mounted above collection points and waste sites. Every image is analysed in real time across four dimensions simultaneously:
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Fill level monitoring: precise, image-based measurement of how full each container is, enabling demand-led collection scheduling and eliminating unnecessary vehicle movements.
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Contamination detection: identifies non-compliant waste with 98% accuracy, flagging items that will downgrade recyclate quality or trigger rejection and fines downstream
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Waste category classification: automatically classifies waste contents by material type — glass, plastic, metal, paper, organics, hazardous — giving operators a live picture of what is actually going into each container.
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Location tracking: real-time tracking of container and asset location, enabling operators to monitor movements, prevent unauthorised use, and manage dispersed fleets of skips and roll-offs.
The VisnLine software platform unifies all of this data into a single live dashboard and mobile app. Operators receive instant alerts for contamination events, full containers, or location anomalies. Every detection is logged with a time-stamped image — creating an indisputable audit trail for compliance, customer billing, and dispute resolution. Built-in ESG and Zero Waste reporting turns operational data into sustainability evidence, helping organisations meet regulatory requirements and demonstrate measurable progress toward recycling and carbon reduction targets.
Applies to
- Agriculture & Food
- Circular Economy
- Construction & Mining
- Engineering & Technology
- ICT/Electronics
- Plastics/Chemicals
- Textiles And Fashion
- Waste Cycle
- Water Cycle
Attached files
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