Automate visual tasks with superhuman speed and consistency.
Replace manual quality checks with AI that inspects 100% of production, catches defects humans miss, and operates 24/7 without fatigue. Reduce defect escape rates and quality costs significantly.
OCR and document AI extract information from invoices, receipts, forms, and contracts automatically. Eliminate manual data entry, reduce errors, and process documents in seconds instead of minutes.
Let users search by image instead of text. Find similar products, identify parts from photos, or search visual catalogs. Visual search improves user experience and discovery.
Solutions for every visual AI challenge
Locate and identify multiple objects in images and video. Applications include inventory counting, safety monitoring, vehicle detection, and product recognition on shelves.
Automated visual inspection for manufacturing defects, surface flaws, assembly verification, and packaging checks. Real-time detection with reject or alert triggers.
Extract text from documents, forms, receipts, and handwriting. Intelligent document processing that understands structure, validates data, and integrates with workflows.
Real-time analysis of video streams for security, retail analytics, traffic monitoring, and operational insights. People counting, behavior analysis, and event detection.
AI analysis of X-rays, CT scans, MRIs, and pathology slides. Assist diagnosis, detect anomalies, and quantify measurements with medical-grade accuracy.
Search by image for e-commerce, parts identification, and visual catalogs. Find similar items, match products, and enable camera-based search experiences.
State of the art computer vision technologies
PyTorch, TensorFlow, OpenCV for model development. YOLO, EfficientDet, ResNet, Vision Transformers for detection and classification tasks.
NVIDIA Jetson, Intel OpenVINO, TensorRT for edge inference. Model optimization for real-time performance on embedded devices and industrial hardware.
AWS Rekognition, Google Vision, Azure Computer Vision for managed services. Custom model deployment with Kubernetes, model versioning, and monitoring.
Computer vision transforming industries
Common questions about AI automation for computer vision
Computer vision enables machines to interpret visual information from images and videos. Business applications include automated quality inspection in manufacturing, document processing with OCR, visual search in e-commerce, security surveillance analysis, medical image diagnosis, and inventory management through visual recognition.