Predictive Maintenance AI for ManuPro Systems
Reduced unplanned downtime by 45% and defect rates by 60% with AI predictive maintenance and computer vision quality control.
The Challenge
ManuPro was losing $80,000/hour during unplanned equipment failures averaging 14 hours/month. Their manual quality control sampling missed 40% of defects that reached customers. Two separate problems demanding an integrated solution.
Our Solution
We built a unified IoT + AI platform: MQTT sensor pipelines feed ML anomaly detection models that predict failures 2–3 weeks ahead, while high-speed cameras with CNN defect detection inspect 100% of production at line speed.
Our Approach
We started with sensor installation and 3 months of baseline data collection for model training. Computer vision models were trained on 500K+ labeled defect images. Both systems share a common Grafana dashboard for operations visibility.
Complex ERP integration with AI-powered quality control. TechVerse handled everything from architecture to deployment. Our defect rate dropped by 60%.
Project Details
Technologies Used
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Let's scope your project. We'll provide a fixed-price estimate and kick off within 48 hours — no obligation.
- US-based project manager from day 1
- Fixed-price — no scope creep surprises
- NDA signed before we discuss your idea
- 48-hour kickoff after contract