Give eyes to your systems with our computer vision solutions to analyze, understand and interpret the visual world.
Eliminate manual inspection and repetitive visual analysis tasks
Detection and classification with accuracy often exceeding human eyesight
Video and image analysis in real-time for instant decisions
Analyze thousands of images simultaneously without compromising speed
Intelligent surveillance and anomaly detection to protect your assets
Models that improve over time through continuous learning
Analysis of your existing image/video streams, quality evaluation and identification of priority use cases.
Collection, annotation and preprocessing of images to create a quality training dataset.
Training and optimization of adapted vision algorithms: YOLO for detection, CNNs for classification, etc.
Production deployment on cloud, edge devices or local servers with real-time performance monitoring.
Intelligent digitization of documents, invoices, ID cards with structured data extraction
Automatic identification and localization of objects, people or specific elements in images
Automatic categorization of photos and visual content according to your business criteria
Automated inspection of manufactured products to detect defects and non-conformities
Object tracking, people counting, behavior analysis and flow analysis in videos
Biometric identification and authentication with privacy respect and GDPR compliance
Precise image cutting to isolate objects, areas of interest or specific elements
Diagnostic aid through medical imaging: radiology, dermatology, ophthalmology
Computer vision enables machines to analyze and understand images and videos with precision that surpasses the human eye in many scenarios. This technology is transforming quality control, security, and logistics.
Computer vision systems use convolutional neural networks (CNNs) and object detection models trained on millions of images. They learn to recognize visual patterns — shapes, colors, textures, anomalies — with precision that often exceeds that of a human inspector. The process includes image capture (industrial camera, smartphone, drone), preprocessing (normalization, correction), AI model analysis, and decision-making (classification, detection, measurement). All in real time, processing dozens of images per second.
In manufacturing, computer vision detects production defects on assembly lines — scratches, cracks, deformations — at a speed and consistency impossible for a human. In logistics, it reads damaged barcodes, sorts packages, and verifies shipments. In construction, it analyzes structures to detect cracks and wear. In agriculture, it assesses crop maturity and detects plant diseases. Each application is trained on your specific data for optimal accuracy.
AI-powered OCR (Optical Character Recognition) goes far beyond simple character reading. It understands document structure, extracts relevant information, and organizes it automatically. Invoices, delivery notes, identity documents, handwritten forms — intelligent OCR processes all of these with accuracy exceeding 97%. Combined with NLP, intelligent OCR doesn't just read — it understands the content and extracts structured data to feed into your systems.
For applications requiring instant response (quality control on production lines, real-time security), we deploy models directly on machines (edge computing) with embedded GPU cards. For volume-based analysis (batch image processing, surveillance video analysis), the cloud offers superior scalability. The choice depends on your latency, volume, and connectivity requirements.
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We process all formats: industrial photos, scanned documents, surveillance video streams, medical images, e-commerce product photos, satellite images, etc. We adapt models according to the quality and type of your visual sources.
Depending on the application, we typically achieve 95-99% accuracy for classification and detection, and 99%+ for OCR on quality printed text. We measure and guarantee performance levels adapted to your business requirements.
Yes, we optimize models to run on edge devices (smart cameras, Raspberry Pi, Jetson Nano, etc.) for local processing without network latency, ideal for real-time or offline scenarios.
We apply privacy-preserving AI techniques: anonymization, local processing, biometric data encryption, data collection minimization. We support you with GDPR compliance and impact assessments.
With training on your specific data, detection accuracy typically reaches 95-99%. Models regularly outperform human inspection, especially on repetitive tasks where fatigue reduces vigilance. Accuracy improves continuously with new data.
Hardware depends on the application: high-resolution industrial cameras for quality control, standard IP cameras for surveillance, smartphones for field applications. For processing, a GPU card (NVIDIA Jetson for edge, cloud GPU for batch) is recommended. We advise on the optimal hardware for your specific case.
Lighting is critical to result quality. We work with you to optimize capture conditions (structured lighting, filters, camera positioning). Our models are also trained to be robust against natural light variations through data augmentation techniques.
Yes. Our optimized models process 30 to 60 images per second in edge configuration, sufficient for the fastest production lines. Real-time video streaming analysis is also available for surveillance and live counting applications.
Absolutely. Construction applications include: structural inspection (crack and corrosion detection), drone-based site monitoring (progress tracking, compliance), plan analysis (automatic quantity takeoff), and safety (PPE detection). These solutions reduce inspection times and improve on-site safety.
Let's discover together how computer vision can transform your business processes.