Large Object Detection
Detects oversized items that can damage equipment or disrupt processing.
What It Does
This solution is designed to detect objects that exceed predefined size thresholds—such as large metal parts, tangled wires, or bulky debris - that could jam, damage, or halt downstream processes. It enables:
Real-time detection of oversized items
Customisable size parameters
Instant alerts for operator intervention
Integration with safety and control systems
How It Works
AI Vision & Segmentation: High-resolution RGB cameras capture the waste stream, and AI models segment and analyse objects based on surface area and dimensions.
Customisable Thresholds: Detection parameters (e.g. minimum and maximum object size) can be tailored per site or line configuration.
Real-Time Alerts: When a large object is detected, the system can trigger visual or audio alerts, allowing operators to intervene before damage occurs.
Cloud or Edge Deployment: The solution supports both local and cloud-based inference, depending on hardware availability and latency requirements.
Prevent damage before it happens. Our Large Object Detection solution uses AI-powered vision to identify oversized or disruptive items in real time - protecting equipment, reducing downtime, and improving operational safety.
Why It Matters
Equipment Protection: Avoid costly repairs and downtime caused by oversized or hazardous items.
Operational Continuity: Keep lines running smoothly by removing disruptive materials early.
Worker Safety: Reduce manual inspection and exposure to dangerous materials.
Scalability: Easily extend detection capabilities to new lines or facilities.
Built for Industrial Environments
Our solution is robust, flexible, and field-tested. It supports:
Multi-phase deployment (e.g. large object detection, followed by material recognition and hazardous object detection)
Integration with existing AI vision platforms and dashboards
Operator training and support for smooth adoption
Continuous model improvement through active learning