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.
Dois projetos de inspeção, com resultados
Sistemas que já funcionam em linhas reais, para clientes sob confidencialidade. Os números públicos, abaixo; a demo, em cada 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.
Controlo de qualidade na linha de produção
Antes de treinar qualquer modelo decidimos como a peça é iluminada e fotografada. Um defeito que a câmara não capta não é recuperado por nenhum algoritmo.
Parafusos e peças torneadas
- Defeitos
- Rosca danificada, cabeça deformada, comprimento fora de tolerância, ferrugem.
- Captura
- Contraluz sobre mesa de luz difusa. Ótica telecêntrica para medir em milímetros.
- O que se mede
- Perfil da silhueta, comprimento, crista da rosca e cor do metal.
93,2 % de acerto OK/NOK em 1.536 fotos de teste (demo com dataset público)
Carroçaria de veículos
- Defeitos
- Mossas, riscos, faróis e vidros partidos.
- Captura
- Fotografias de telemóvel ou cabine de inspeção. Mais resolução e luz controlada para as mossas pequenas.
- O que se mede
- Danos localizados com o seu tamanho, fotografia a fotografia, para peritagem, aluguer ou usados.
92 % de precisão nas deteções do projeto; nos seus testes, cerca de 90 %
Superfícies lacadas e madeira
- Defeitos
- Partículas de pó, gotas, pancadas, falta de tinta, diferenças de tom.
- Captura
- Luz rasante para o relevo. Iluminação calibrada e padrão de cor para o tom.
- O que se mede
- Relevo, uniformidade da lacagem e diferença de cor face a uma referência.
Começamos com uma fase de viabilidade na fábrica.
Como o levamos para uma linha
- 01
Viabilidade
Fotografias de peças reais na fábrica com várias configurações de câmara e iluminação.
- 02
Captura de dados
Um posto de captura na linha recolhe e etiqueta imagens de cada defeito.
- 03
Modelo
Medição, classificação ou deteção conforme o defeito, avaliado com imagens que não viu.
- 04
Piloto
Inspeção num posto com alerta ao operador e painel de qualidade.
- 05
Linha
Disparo sincronizado, sinal ao PLC para a rejeição e histórico por lote e turno.
Need computer vision for your business?
Consultoria 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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Perguntas frequentes 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.
Conte-nos seu desafio. Propomos uma solução.
Sem compromisso. Respondemos em menos de 24 horas e em 48 horas você recebe uma proposta com escopo, cronograma e orçamento. Sem letras miúdas.