Visual Search Engine
What Is a Visual Search Engine?
A visual search engine is a system that allows users to search for information by uploading an image or providing a visual input, rather than typing a text query. It uses image recognition and computer vision to analyze the visual content and find similar images, products, or related information.
Analyze Your Use Case
NYRIS uses its proprietary visual search engine to help businesses quickly identify products, parts, and components in various industries, improving efficiency and reducing downtime.
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How Does a Visual Search Engine Work?
- Image Upload and Feature Extraction:
- Users upload an image to the visual search engine. The system then extracts key features and characteristics from the image, such as colors, shapes, textures, and patterns.
- Matching and Indexing:
- The extracted features are compared to an indexed database of images. The search engine uses algorithms to find images with similar features, ranking them by relevance.
- Results Display:
- The visual search engine displays the most relevant images or products that match the uploaded image. Users can then explore these results to find the information or products they are seeking.
Use Cases
Manufacturing
- Spare Parts Identification: Technicians can upload an image of a broken part to quickly identify and order a replacement, reducing machine downtime. DMG Mori reduced downtime by 72% using NYRIS’s solution.
E-commerce
- Product Discovery: Customers can upload an image of a desired product and find visually similar items for purchase, enhancing the shopping experience. IKEA sees a 35% increase in conversion rates with visual search.
Retail Inventory Management
- Inventory Tracking: Store managers can use visual search to quickly identify and locate products in the store, improving inventory management and reducing stockouts. METRO achieves 98% inventory accuracy using NYRIS-powered handheld scanners.
Benefits For Your Company
- Enhanced Product Discovery: Improve the shopping experience and increase conversion rates by allowing customers to find products visually. Increase conversion rates by 35%.
- Streamlined Operations: Reduce time and effort spent on manual searches, especially in industries like manufacturing where quick identification of parts is critical. Reduce downtime by 72%.
- Improved Inventory Management: Enhance inventory accuracy and reduce stockouts by using visual search to track and locate products efficiently. Achieve 98% inventory accuracy.
FAQs
How accurate is NYRIS’s visual search engine?
NYRIS’s visual search engine achieves high accuracy by using advanced image recognition algorithms and training on synthetic data. It can identify products and parts with up to 99.7% accuracy.
What types of images can the visual search engine process?
The visual search engine can process a wide range of image formats, including JPEG, PNG, and TIFF, and can handle images taken in various lighting conditions and angles.
Can the visual search engine integrate with existing systems?
Yes, NYRIS’s visual search engine can be integrated with existing e-commerce platforms, inventory management systems, and manufacturing databases using APIs.
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.