InSpec
Patent pending edge AI-powered visual inspection for manufacturing and maintenance. Detect defects, generate analytics, and integrate with PLCs using a cell phone or Windows PC - no internet required.
Product Overview
Unlike traditional inspection systems - either manual, rule-based, or rigid commercial AI platforms - Inspec integrates intelligent edge learning and predictive analytics capabilities into a flexible, low-cost system architecture.
Our platform enables real-time customization and foresight into asset health - benefits that current market offerings are not architected to deliver without extensive engineering or infrastructure.
Ready to see it in action? Talk with our team about scheduling an InSpec demo for your facility.
Why InSpec?
Cell Phone or Windows PC
No specialized equipment needed. Use any Android device or Windows PC for powerful AI inspection capabilities.
Edge AI Processing
All AI processing happens on-device. No internet required, no data breaches possible.
Direct PLC Integration
Seamlessly integrate with existing PLC systems without additional hardware.
Real-World Applications
Hardware Maintenance
Predictive maintenance analytics for industrial equipment and machinery.
- Wear pattern analysis and degradation tracking
- Automated maintenance scheduling
- Failure prediction and risk assessment
Brake Shoe Health Monitoring
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Current Health: 88% - Predictive maintenance alert: Replace brake shoes when health reaches 15% (approximately 9 weeks)
OEM/Defense Applications
Ideal for defense and OEM manufacturing where data security is paramount.
- Secure, offline processing capabilities
- Component inspection and quality assurance
- No data transmission or cloud dependencies
Food Manufacturing
Perfect for food safety and quality control in manufacturing environments.
- Real-time defect detection in production lines
- Quality control for packaging and labeling
- Compliance monitoring and documentation
Core Technical Innovations
On-Site, Non-Technical AI Model Training
Inspec introduces a novel method for empowering end-users - specifically non-technical personnel - to locally train or fine-tune an AI model for defect detection without requiring machine learning knowledge, data science teams, or cloud connectivity.
The system includes a guided workflow that allows users to collect labeled data, validate inputs, and trigger training routines directly on-site, using hardware-accelerated edge devices (e.g., industrial PCs, laptops).
Key Technical Features:
- Embedded training interface with drag-and-drop image labeling and feedback loop
- Few-shot learning and incremental tuning methods that adapt existing base models with minimal data
- Hardware-aware training pipeline that dynamically adjusts batch size, learning rate, and model parameters based on system resource availability
- Deployment synchronization for hot-swapping custom models into a live inspection pipeline with rollback functionality
Predictive Maintenance Analytics from Visual Inspection Data
While most vision systems stop at defect classification, Inspec advances the capability by deriving asset health trajectories from visual inspection events over time. The platform aggregates inspection metadata (e.g., defect frequency, type, and spatial correlation) and fuses this with contextual operational data or external failure statistics to generate maintenance forecasts.
Key Technical Features:
- Defect progression modeling using historical inspection data to infer rate-of-degradation patterns
- Hybrid data fusion allowing integration of internal logs and publicly available maintenance datasets
- On-device predictive analytics engine offering maintenance alerts with configurable risk thresholds and lead times
- API/visual dashboard for delivering insights to maintenance staff or connected factory systems
Interested in learning more?
Contact us to schedule a demo or discuss how InSpec can be tailored to your specific manufacturing needs.
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