Object Detection
What Is Object Detection?
Object detection is a computer vision technique that identifies and locates instances of semantic objects of certain classes in digital images and videos. It involves both identifying what objects are present in an image and determining their spatial location.
Analyze Your Use Case
NYRIS uses object detection to improve the accuracy and efficiency of its visual search technology, allowing for faster and more relevant results.
How Does Object Detection Work?
- Feature Extraction:
- The system extracts relevant features from the input image using convolutional neural networks (CNNs). NYRIS employs advanced CNN architectures to capture detailed visual information.
- Object Proposal:
- Regions of interest are identified as potential objects. Algorithms like Region Proposal Networks (RPNs) suggest areas in the image that are likely to contain objects.
- Classification and Localization:
- Each region is classified to determine what object it contains, and bounding boxes are drawn around the objects to indicate their location. NYRIS’s object detection models achieve high accuracy by training on synthetic data generated from CAD models.
Use Cases
Manufacturing
- Defect Detection: Object detection identifies defects on production lines in real-time, ensuring product quality and reducing waste. NYRIS’s solutions help manufacturers like Trumpf detect microscopic defects in laser-cut metal sheets with 99.7% accuracy.
E-commerce
- Automated Image Tagging: Object detection automatically tags products in images for search and categorization, enhancing product discovery and improving the shopping experience. Retailers like IKEA use object detection to tag products, increasing conversion rates by 35%.
Retail Inventory Management
- Shelf Monitoring: Object detection monitors shelves to track stock levels, identify misplaced items, and ensure product availability. METRO employs NYRIS's object detection technology to achieve 98% inventory accuracy using shelf-scanning robots.
Benefits For Your Company
- Improved Accuracy: Achieve near-perfect precision in identifying and locating objects, reducing errors and improving decision-making.
- Enhanced Automation: Automate tasks like quality control, inventory management, and product tagging, reducing manual effort and operational costs.
- Increased Efficiency: Streamline processes and improve productivity by enabling faster and more accurate object recognition.
FAQs
How does NYRIS use object detection?
NYRIS uses object detection to enable its visual search engine to quickly and accurately identify products, components, and defects from images and videos.
Can object detection work in real-time?
Yes! NYRIS’s object detection models are optimized for speed, allowing for real-time analysis of video streams and live camera feeds.
What types of objects can object detection identify?
Object detection can be trained to identify a wide range of objects, from consumer products and manufacturing parts to vehicles and people. The versatility makes it valuable across many industries.
About NYRIS
Founded in 2015 in Berlin, NYRIS is a leader in AI-powered visual search and synthetic data solutions tailored for industries like manufacturing and retail. With €10 million in funding from investors such as Trumpf Venture and IKEA, NYRIS processes over 500 million products with sub-second speeds using advanced feature extraction technology.