Computer Vision Consulting Services
Computer vision transforms visual data into actionable intelligence — automating quality inspection, enabling autonomous systems, and extracting insights from images and video at scale. Opsio designs and deploys production-grade computer vision solutions using deep learning, from proof-of-concept through MLOps-managed inference at the edge or in the cloud.
Más de 100 organizaciones en 6 países confían en nosotros
99.5%
Detection Accuracy
50ms
Inference Latency
10x
Faster Inspection
24/7
Continuous Operation
Turn Visual Data Into Business Intelligence
The global computer vision market is projected to reach $26.9 billion by 2030, driven by advances in convolutional neural networks, transformer architectures, and edge inference hardware. Yet most organisations struggle to move from prototype to production. Models that achieve 95% accuracy in the lab fail in real-world conditions — changing lighting, camera angles, and edge cases the training data never covered. Without proper MLOps infrastructure, models degrade over time as production data drifts from training distributions. Opsio's computer vision consulting bridges the gap between research and production. We start with your business problem — not the technology — to determine whether computer vision is the right approach and what accuracy, latency, and throughput targets are realistic. Our engineers design end-to-end pipelines: data collection and annotation strategy, model architecture selection (CNNs, Vision Transformers, YOLO, Detectron2), training infrastructure on AWS SageMaker or Azure ML, and deployment to cloud endpoints or edge devices using NVIDIA Triton, TensorRT, or AWS Panorama.
Every engagement includes MLOps infrastructure for continuous improvement — automated retraining pipelines, data drift monitoring, A/B testing of model versions, and performance dashboards. We have deployed computer vision solutions for manufacturing quality inspection, retail analytics, document processing (OCR), medical imaging analysis, and autonomous navigation — each with the production reliability and observability that enterprise deployments demand.
Lo que entregamos
Object Detection & Classification
Custom models for detecting and classifying objects in images and video using YOLO, Detectron2, EfficientDet, or Vision Transformers. We handle multi-class detection, instance segmentation, and real-time tracking with sub-100ms inference latency.
Visual Quality Inspection
Automated defect detection for manufacturing lines using custom-trained models. Surface defect identification, dimensional measurement, assembly verification, and anomaly detection with accuracy exceeding human inspectors and throughput of thousands of parts per hour.
OCR & Document Processing
Intelligent document processing using PaddleOCR, Tesseract, Azure Form Recognizer, or AWS Textract. We extract structured data from invoices, contracts, handwritten forms, and identity documents with field-level validation and confidence scoring.
Edge Deployment & Optimization
Model optimization using TensorRT, ONNX Runtime, and quantization for deployment on NVIDIA Jetson, AWS Panorama, or custom edge hardware. We achieve real-time inference on constrained devices without sacrificing accuracy through architecture-aware optimization.
MLOps & Model Lifecycle
End-to-end ML pipelines on AWS SageMaker, Azure ML, or Kubeflow for automated training, evaluation, deployment, and monitoring. Data drift detection triggers retraining before model performance degrades in production.
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