Waste management
Industrial waste processing operator
Automated sorting with higher accuracy and scalable industrial infrastructure.
The challenge
Manual sorting was inefficient, error-prone, and not scalable.
Manual waste sorting is inefficient, error-prone, and not scalable.
Client
High-throughput sorting facility
Decision type
What to execute
The system
Decision system built
We engineered a real-time computer vision decision system that detects and classifies waste materials, decides sorting actions instantly, and triggers robotic execution.
System components
Computer vision models (object detection + classification)
Real-time inference pipeline
Tracking and counting system
Integration with robotic arm for physical action
How we worked
Engagement scope
Vision models, edge or server inference, integration with line hardware, and operational monitoring for throughput and accuracy.
Timeline
Lab validation, pilot line, then production hardening with maintenance playbooks.
Operating model
Operations and safety as primary stakeholders; Ravon accountable for model performance and integration SLAs.
Outcomes
Business impact & measurable results
Automated sorting with higher accuracy and scalable industrial infrastructure.
Automated sorting with higher accuracy
Reduced reliance on manual labour
Scalable infrastructure for industrial environments
Governance
Trust, collaboration & governance
Fail-safe behaviours and manual override paths
Performance monitoring under variable input conditions
Documentation for regulators and facility operators
Reframe
Not a CV model — a real-time physical decision system.
Across every engagement, the goal is the same: engineer a system that makes better decisions — faster, more consistently, and at scale — than the process it replaces.
Insights
Related perspectives.
Start a discovery
Most engagements begin with a conversation about context.
We do not send a proposal before we understand the problem. Start by telling us about your decision context — we will identify the highest-leverage intervention areas before any scope is agreed.