Computer Vision
What Is Computer Vision?
Computer Vision (CV) refers to AI systems that extract meaningful information from visual inputs, enabling machines to recognize patterns, objects, and contextual details. Unlike basic image processing, CV employs convolutional neural networks (CNNs) and transformer models to understand complex scenes, track movements, and make decisions based on visual cues.
Analyze Your Use Case
NYRIS integrates computer vision into its visual search engine to identify industrial components, retail products, and technical documents across 500 million items in under 0.5 seconds. By training models on synthetic data generated from CAD files, NYRIS achieves superior performance in challenging environments, such as low-light factories or cluttered retail shelves.
How Computer Vision Works
NYRIS’s computer vision framework operates through a five-stage pipeline optimized for enterprise applications:
- Image Acquisition: High-resolution cameras or IoT sensors capture visual data, which NYRIS enhances using adaptive lighting correction and noise reduction algorithms. For manufacturing clients like DMG Mori, the system processes 4K images of machinery parts at 60 frames per second.
- Preprocessing and Augmentation: Raw images undergo normalization, where synthetic data techniques simulate variations in lighting, angles, and occlusions. This step ensures robust performance across diverse real-world conditions, improving model generalization by 40%.
- Feature Extraction and Object Detection: A ResNet-50 architecture identifies regions of interest, isolating objects from backgrounds even in cluttered environments. For automotive partner Daimler, this enables precise detection of engine components with tolerances under 0.1mm.
- Semantic Segmentation and Classification: Pixel-level segmentation maps categorize objects by type, material, or function. NYRIS’s models cross-reference segmented data with CAD-derived synthetic datasets, achieving 99.3% classification accuracy for industrial spare parts.
- Actionable Insights Generation: Processed data integrates with ERP systems like SAP via APIs, triggering automated workflows such as reordering components or scheduling maintenance. Retailer METRO uses this capability to update inventory levels in real time, reducing stockouts by 68%.
Industrial Applications
Manufacturing Automation
NYRIS’s computer vision solutions automate assembly line inspections for manufacturers like Trumpf, detecting microscopic defects in laser-cut metal sheets with 99.7% accuracy. By analyzing thermal imaging data, the system predicts equipment failures 72 hours in advance, reducing unplanned downtime by 65%.
Retail Inventory Management
Computer vision-powered shelf scanners deployed by METRO track 50,000 SKUs across 300 stores, identifying misplaced items and updating stock counts with 98% accuracy. The system recognizes products even when packaging designs change, eliminating manual reshelving efforts.
E-commerce Product Discovery
IKEA’s visual search platform, powered by NYRIS, lets customers photograph furniture items to find matching products in the catalog. Computer vision analyzes textures, dimensions, and styles, increasing conversion rates by 35% through personalized recommendations.
Automotive Quality Assurance
For Renault, NYRIS’s vision systems inspect vehicle assembly lines, flagging misaligned components or paint imperfections. 3D depth sensors combined with CV algorithms measure gaps between body panels to within 0.05mm precision, ensuring compliance with ISO 9001 standards.
Benefits For Your Company
Automate Visual Inspections:
Reduce manual quality checks by 85% while maintaining Six Sigma defect rates below 3.4 per million opportunities.
Accelerate Decision-Making:
Analyze visual data in milliseconds, enabling real-time responses to production anomalies or supply chain disruptions.
Scale Globally with Synthetic Data:
Train vision models on CAD-generated datasets to handle rare edge cases, cutting data acquisition costs by 70%.
FAQs
Can computer vision operate in low-light industrial environments?
Yes. NYRIS enhances low-light imagery via generative adversarial networks (GANs) trained on synthetic data simulating factory conditions. Partner Windmöller \& Hölscher reported 92% defect detection accuracy in environments under 50 lux illumination.
How does NYRIS’s computer vision differ from open-source frameworks?
NYRIS customizes vision pipelines for industry-specific challenges, such as reading embossed serial numbers on metal parts or detecting transparent packaging in retail. Pre-trained models are fine-tuned using synthetic data from client CAD files, achieving 3x higher accuracy than generic solutions.
Does the system support real-time video analysis?
NYRIS processes 4K video streams at 30 FPS using optimized TensorRT models, enabling applications like robotic guidance systems. Latency remains under 100ms even for complex tasks like multi-object tracking.
About NYRIS
Founded in 2015, NYRIS is a leader in AI-powered visual search and predictive maintenance solutions for industries like manufacturing, automotive, and retail. With €10 million in funding from investors including Trumpf Venture and IKEA, NYRIS combines synthetic data generation with machine learning to deliver cutting-edge solutions that process over 500 million products in under a second.