Visual Components Detector

The AI based app for product identification. The Visual Components Detector (VCD) enables the unique identification of items using digital image capture and image classification algorithms based on machine learning. Implemented as a web service, the Visual Components Detector (VCD) can be flexibly integrated into mobile, web or desktop apps. Time-consuming troubleshooting and identification of products is a thing of the past with our Visual Components Detector app. This app helps you identify products by simply scanning them with your smartphone camera and provides a convenient way to order them from your preferred supplier. This makes your work more efficient, saves valuable time and ensures that you get the product you want. Download this identification app for free to uniquely identify, store, share and order any item. The prerequisite for identifying the products is to train the model with the corresponding items. This free identification app is a must-have for industrial companies, especially from manufacturing and automotive industries, which use the app in after-sales. Uncomplicated handling: • Clear, uncomplicated article identification via camera. • Clear identification and camera guidance over the article  • Display of the result with picture and article description • Search results and additional alternatives obtained • Spare parts ordering without media breaks • API interfaces: When an API interface is connected to relevant enterprise applications, it can increase the transparency and accuracy of processes, contributing to a professional service that can lead to repeat orders. However, it is important that the API interface is carefully developed and maintained to ensure that it is stable and reliable and that the connected applications can access the desired data and functionality. That's where daenet comes in. • The app can be enriched with internal company data (availability, stock, replacement price, compatible products, installation and assembly instructions) • Get your catalogue data into the app: we take care of the digitization of the catalog data for you. Please contact us to create an individual offer for you: [email protected]. We would be very pleased to receive your feedback: [email protected] Follow us on Twitter: https://twitter.com/daenet Follow us on LinkedIn: https://www.linkedin.com/company/daenet/