Spot the Problem Before It Slows You Down
Manual inspection on production lines is slow, inconsistent, and prone to human error. Filters are small, repetitive, and often missed during fast-paced operations. With growing output demands, relying solely on human eyes is no longer enough.
TriSeed solves this using real-time object detection powered by AI. Our model, trained on just 62 labeled images, detects filter presence or absence in live factory video. It is lightweight, fast to deploy, and built for real-world factory conditions.
How It Works
Detects filter presence in real time
Outputs structured logs: bounding box, confidence score, timestamp
Lightweight and scalable, with flexible deployment options
Why It Matters
98.5% accuracy using just 62 training images
Less than 2% false detections across live factory video
Structured visual logs for audit and traceability
Reliable across lighting changes and different object positions
Deployment Snapshot
Model: YOLOv8n
Data: 62 annotated frames
Output: Video overlay with structured logs
Runtime: Edge-compatible, no reliance on cloud connection
Feedback: "Filter Detected" or "Missing"
What’s Next
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Multi-angle camera support
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Filter placement scoring
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Dashboards with real-time performance
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Predictive alerts for trends and anomalies
Built by TriSeed
TriSeed combines digital transformation strategy with hands-on AI delivery. From modeling to integration, our experts provide end-to-end support. We help you upgrade your line without overhauling your systems.
Ready to Upgrade Quality Inspection?
If you're looking to reduce inspection errors and ensure every product meets standard, TriSeed is ready to help. Request a consultation or schedule a demo to see our AI filter detection system in action.