Custom Computer Vision for Business
We develop computer vision systems that see, understand, and act. Automated quality control, document processing, real-time video analytics, and object detection for any industry.
Due progetti di ispezione, con risultati
Sistemi già attivi su linee reali, per clienti sotto riservatezza. I dati pubblici, qui sotto; la demo, in ogni caso.
Machines that see and understand the visual world
Computer vision enables machines to interpret images and video with superhuman precision. From detecting microscopic defects on a production line to counting people in a retail space in real time, computer vision transforms visual data into automated decisions and actionable insights.
Human visual inspection is slow, inconsistent, and prone to fatigue-related errors. An operator can inspect 300-500 parts per hour with an 80% defect detection rate. A computer vision system processes thousands of parts per minute with accuracy above 99%. The difference in product quality, defect cost reduction, and production speed is transformative.
But computer vision goes far beyond industrial inspection. In retail, it analyzes in-store customer behavior to optimize layouts and staffing. In logistics, it reads codes, labels, and documents automatically. In security, it detects anomalies and relevant events in video feeds. In healthcare, it assists in medical image analysis with diagnostic accuracy comparable to specialists.
At Soamee we develop custom computer vision solutions with the most advanced architectures: from YOLO models for real-time detection to deep convolutional networks for high-precision classification. We work with static images, streaming video, and multi-camera feeds, deploying on cloud, edge devices, or on-premise GPUs based on each project's latency and privacy requirements.
Detection accuracy
Real-time latency
Undetected defects
Continuous inspection
Computer vision for your industry
Each solution is trained and optimized for your specific use case, with custom datasets and performance metrics tailored to your requirements.
Quality control
Automated visual inspection on production lines: defect detection, assembly verification, dimensional measurement, and quality classification. Systems that operate at real production speeds with accuracy above 99%. Drastic reduction in false positives and defective products reaching customers.
OCR & document processing
Text and structured information extraction from any document type: invoices, forms, labels, license plates, checks, medical prescriptions. Advanced OCR combined with layout and semantic understanding to process complex documents with tables, signatures, and stamps.
Video analytics
Real-time analysis of video feeds: people counting, behavior detection, heat maps, dwell time, queue detection, and anomalous events. Ideal for retail (layout optimization), transport (flow management), and security (incident detection).
Object detection & classification
Models trained to detect, locate, and classify specific objects in images or video. From products on shelves to industrial components, vehicles, wildlife, or any object relevant to your use case. Training with your data for maximum accuracy in your domain.
Medical imaging
Diagnostic assistance through automated analysis of medical images: X-rays, CT scans, MRIs, histological and dermoscopic images. Early anomaly detection, anatomical structure segmentation, and finding quantification. Always as a support tool for specialists.
Retail analytics
Computer vision for commerce: planogram analysis (facing verification), out-of-stock detection on shelves, customer flow analysis, product recognition in self-checkout, and display monitoring. Visual data that translates into business decisions.
Controllo qualità sulla linea di produzione
Prima di addestrare qualsiasi modello decidiamo come illuminare e fotografare il pezzo. Un difetto che la telecamera non coglie non lo recupera nessun algoritmo.
Viteria e pezzi torniti
- Difetti
- Filetto danneggiato, testa deformata, lunghezza fuori tolleranza, ruggine.
- Acquisizione
- Controluce su tavolo a luce diffusa. Ottica telecentrica per misurare in millimetri.
- Cosa si misura
- Profilo della sagoma, lunghezza, cresta del filetto e colore del metallo.
93,2% di accuratezza OK/NOK su 1.536 foto di test (demo con dataset pubblico)
Carrozzeria dei veicoli
- Difetti
- Ammaccature, graffi, fari e cristalli rotti.
- Acquisizione
- Foto da smartphone o cabina di ispezione. Più risoluzione e luce controllata per le ammaccature piccole.
- Cosa si misura
- Danni localizzati con la loro dimensione, foto per foto, per perizie, noleggio o usato.
92% di precisione nei rilevamenti del progetto; nei suoi test, circa il 90%
Superfici laccate e legno
- Difetti
- Granelli di polvere, gocce, urti, vernice mancante, differenze di tonalità.
- Acquisizione
- Luce radente per il rilievo. Illuminazione calibrata e target colore per la tonalità.
- Cosa si misura
- Rilievo, uniformità della laccatura e differenza di colore rispetto a un riferimento.
Partiamo da una fase di fattibilità in stabilimento.
Come lo portiamo in linea
- 01
Fattibilità
Foto di pezzi reali in stabilimento con diverse configurazioni di telecamera e illuminazione.
- 02
Raccolta dati
Una postazione di acquisizione in linea raccoglie ed etichetta immagini di ogni difetto.
- 03
Modello
Misura, classificazione o rilevamento a seconda del difetto, valutato su immagini mai viste.
- 04
Pilota
Ispezione in una postazione con avviso all'operatore e dashboard qualità.
- 05
Linea
Scatto sincronizzato, segnale al PLC per lo scarto e storico per lotto e turno.
Need computer vision for your business?
Consulenza gratuita →Computer vision stack
From visual need to model in production
A rigorous process that ensures accuracy and performance under real operating conditions.
Definition & dataset
We define the objects/defects to detect, collect representative images from the real environment, and create a labeled dataset with precise annotations. Data augmentation to maximize diversity.
Model training
We select the optimal architecture (YOLO, ResNet, EfficientNet, ViT) and train with your dataset. We iterate on hyperparameters until reaching target metrics in precision and recall.
Optimization & deployment
We optimize the model for the target hardware (GPU, edge device, cloud). Quantization, pruning, and conversion to efficient formats (TensorRT, ONNX). Deployment with REST API and monitoring.
Production validation
Exhaustive testing under real conditions: lighting variations, angles, wear. Continuous fine-tuning with new production data. Alerts on performance degradation.
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Domande frequenti about computer vision
How many images do I need to train a model?
Can it work in real time on a production line?
Can it be deployed on-premise without internet connection?
What accuracy can be expected?
How much does a computer vision project cost?
Give intelligent vision to your business
We help you identify where computer vision can generate the greatest impact on your operations and develop a custom solution that works under real conditions.
Raccontaci la tua sfida. Ti proponiamo la soluzione.
Senza impegno. Rispondiamo entro 24 ore e in 48 ore ricevi una proposta con ambito, tempistiche e budget. Nessuna clausola nascosta.