Artificial Intelligence for Industry
Machine Learning, Deep Learning and Computer Vision
Predictive maintenance, automated quality control and data-driven process optimization.
OCR
We develop optical recognition systems for automatic reading of texts, codes, labels and documents in industrial and logistical contexts.
Our solutions integrate deep learning and NLP for extracting structured data from unstructured documents such as delivery notes, invoices, certificates and technical data sheets.
We support complex surfaces: etched metal, molded plastic, damaged labels, low contrast codes.
Our skills include:
- •Text Recognition: Multi-language OCR, handwriting, industrial fonts
- •Barcode & QR: 1D/2D reading, DataMatrix, damaged codes
- •Document Processing: structured extraction from PDF, images, scans
- •Classification: automatic categorization of documents and images
- •Integration: API REST, webhook, integrazione ERP/MES
Text Recognition (OCR)
Recognition of printed, engraved and handwritten texts with multi-language support and specialized industrial fonts
Barcode & QR Reading
Reading 1D (Code 128, EAN), 2D (QR, DataMatrix) codes even on curved, reflective or partially damaged surfaces
Document Processing
Automatic data extraction from bills, invoices, certificates with structured JSON/XML output for ERP integration
Image Classification
Automatic categorization of images by product type, defect, material or any custom classification
Serial Number Reading
Reading of laser engraved, hot stamped serial numbers, thermal labels with automatic checksum verification
Real-Time Processing
Online processing with latencies
Object Detection
Real-time detection of defects, objects and anomalies with YOLO v8, SSD and Faster R-CNN models optimized for industrial hardware
Semantic Segmentation
Pixel-level analysis for advanced quality inspection, material classification and automatic dimensional measurement
OCR & Barcode Reading
Automatic reading of 1D/2D codes, labels, serial numbers and texts engraved even on reflective or curved surfaces
Pose Estimation
Operator posture tracking for monitoring ergonomics, safety zones and accident prevention in real time
Edge Inference
Deployment on NVIDIA Jetson, Intel NUC, ARM devices with latencies
MLOps & Training
MLOps pipeline for data labeling, distributed training, model versioning and automatic continuous improvement
Computer Vision Development
We develop artificial vision systems based on deep learning for quality inspection, object tracking and safety monitoring in industrial environments.
Our solutions integrate industrial cameras, edge computing and algorithms optimized for real-time inference with latencies less than 50ms.
From image acquisition to deployment on industrial hardware, we manage it all development cycle with MLOps methodologies for continuous training.
Our skills include:
- •Object Detection: YOLO, SSD, Faster R-CNN for defect and part detection
- •Semantic Segmentation: U-Net, DeepLab for pixel-level analysis
- •OCR & Barcode: reading codes, labels, printed and engraved texts
- •Pose Estimation: operator tracking for ergonomics and safety
- •Edge Deployment: NVIDIA Jetson, Intel OpenVINO, TensorRT
CNN Defect Detection in Action
Real-time visualization of a convolutional neural network for defect recognition. See how the data flows through layers and how the model classifies images of industrial surfaces.
Deep Learning Defect Detection
Convolutional Neural Network - Real-time Quality Inspection
CNN Architecture - VGG-style Defect Classifier
Model Performance
Model Specifications
Detection History
Waiting for detections...
Data Analysis
We develop data analytics platforms for historical analysis, trend forecasting and advanced reporting on industrial data.
Our solutions integrate time-series databases, interactive dashboards and statistical algorithms to transform raw data into operational insights.
From data capture to automated reporting, we build scalable data pipelines with long-term historicization and high-performance aggregations.
Our skills include:
- •Time-Series Analysis: InfluxDB, TimescaleDB, optimized queries
- •Trend Forecasting: ARIMA, Prophet, LSTM models for forecasting
- •Dashboard & BI: Grafana, Power BI, Tableau, custom React
- •KPI Monitoring: OEE, downtime, scrap rate, energy consumption
- •Automated Reporting: scheduled PDF reports, alerts via email/SMS
Historical Trending
Historical trend visualization with temporal zoom, period comparison and multi-variable overlay
Anomaly Detection
Automatic identification of outliers, statistical deviations and anomalous patterns with proactive alerting
Forecasting Models
Demand forecasts, energy consumption, component wear with ARIMA, Prophet and neural network models
KPI Dashboards
Real-time OEE dashboard, downtime analysis, scrap rate, energy monitoring with interactive drill-down
Long-Term Storage
Multi-year data archival with intelligent downsampling, compression and configurable retention policies
Automated Reports
Generation of scheduled PDF/Excel reports, automatic distribution via email and centralized archiving
Time-Series Analytics Dashboard
Real-time dashboard for industrial data analysis: live metrics, historical trends, statistical aggregations and optimized queries.
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Historical Trend: Average Temperature
Distribution of Values
Monthly Comparison
You discover MUVIA
The complete platform for industrial data acquisition, real-time analysis, interactive dashboards and automatic report generation. All integrated, all scalable.
Contact us
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