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.
Zwei Prüfprojekte mit Ergebnissen
Systeme, die bereits an echten Linien laufen, für Kunden unter Vertraulichkeit. Die öffentlichen Zahlen unten; die Demo in jeder Referenz.
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.
Qualitätskontrolle in der Fertigungslinie
Bevor wir ein Modell trainieren, legen wir fest, wie das Teil beleuchtet und fotografiert wird. Einen Fehler, den die Kamera nicht erfasst, holt kein Algorithmus zurück.
Schrauben und Drehteile
- Fehler
- Beschädigtes Gewinde, verformter Kopf, Länge außerhalb der Toleranz, Rost.
- Aufnahme
- Durchlicht auf einem diffusen Leuchttisch. Telezentrische Optik für Messungen in Millimetern.
- Was gemessen wird
- Silhouettenprofil, Länge, Gewindekamm und Metallfarbe.
93,2 % OK/NOK-Genauigkeit bei 1.536 Testfotos (Demo mit öffentlichem Datensatz)
Fahrzeugkarosserie
- Fehler
- Dellen, Kratzer, kaputte Leuchten und Scheiben.
- Aufnahme
- Handyfotos oder Prüfkabine. Mehr Auflösung und kontrolliertes Licht für kleine Dellen.
- Was gemessen wird
- Lokalisierte Schäden mit ihrer Größe, Foto für Foto, für Gutachten, Mietwagen oder Gebrauchtwagen.
92 % Präzision bei den Erkennungen des Projekts; in seinen Tests rund 90 %
Lackierte Oberflächen und Holz
- Fehler
- Staubeinschlüsse, Tropfen, Schläge, Fehlstellen, Farbtonabweichungen.
- Aufnahme
- Streiflicht für das Relief. Kalibrierte Beleuchtung und Farbreferenz für den Farbton.
- Was gemessen wird
- Relief, Gleichmäßigkeit der Lackierung und Farbabstand zu einer Referenz.
Wir beginnen mit einer Machbarkeitsphase im Werk.
So bringen wir es in die Linie
- 01
Machbarkeit
Fotos echter Teile im Werk mit mehreren Kamera- und Lichtaufbauten.
- 02
Datenerfassung
Eine Aufnahmestation in der Linie sammelt und labelt Bilder jedes Fehlers.
- 03
Modell
Messung, Klassifikation oder Detektion je nach Fehler, bewertet an ungesehenen Bildern.
- 04
Pilot
Prüfung an einer Station mit Hinweis an den Bediener und Qualitäts-Dashboard.
- 05
Linie
Synchronisierte Auslösung, SPS-Signal zum Ausschleusen und Historie nach Los und Schicht.
Need computer vision for your business?
Kostenlose Beratung →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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Häufig gestellte Fragen 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.
Erzählen Sie uns Ihre Herausforderung. Wir schlagen die Lösung vor.
Unverbindlich. Wir antworten innerhalb von 24 Stunden, und innerhalb von 48 Stunden erhalten Sie ein Angebot mit Umfang, Zeitplan und Budget. Ohne Kleingedrucktes.