With Zunō.lens, you can leverage the power of computer vision to automate complex image processing tasks that can be time-consuming and error-prone when done manually.
Image Enhancement Libraries
Zunō.lens comes equipped with advanced image enhancement libraries that allow you to improve the quality of images and videos with just a few clicks. These libraries can remove noise, adjust brightness, contrast, and colors, and enhance image resolution.
Object Detection and Recognition
Zunō.lens can detect and recognize objects in images and videos, and label them with metadata for easy identification. With this feature, you can automate the process of identifying objects and their attributes, which can be a time-consuming task when done manually.
Annotate and Tag Images
Zunō.lens also comes with an annotation feature that allows you to mark objects, areas, or features of interest in an image or video, and label them with descriptive metadata. This metadata can be used for search and retrieval, making it easy to find specific images or videos within a large collection.
Zunō.lens provides the ability to train custom models to suit specific use cases. With this feature, you can train the system to recognize specific objects or patterns within images and videos, and perform automated actions based on those patterns.
Integration with Other Tools
Zunō.lens is designed to integrate seamlessly with other tools and systems. It comes with APIs that can be used to integrate Zunō.lens into your existing workflows and automate image processing tasks.
Advanced Computer Vision Capabilities
Zunō.lens has been used to build multiple solutions tailored to specific needs.
- A computer vision-based system that can automate and streamline the inspection process for various industries.
- Using machine learning algorithms, the system can identify defects, anomalies, or patterns in images or videos of products or assets, and provide real-time feedback to inspectors.
- The system can also learn from the inspection results and continuously improve the accuracy of its analysis.
- An intelligent document processing system that automatically processes scanned and generated documents such as invoices, packing lists, and other types of documents.
- The system uses advanced machine learning and natural language processing algorithms to extract key-value pairs from unstructured documents and link related documents.
- The extracted data is then integrated into an enterprise system such as an ERP or a CRM system.
- This enables organizations to streamline their document processing workflows, reduce errors, and increase productivity.
- A solution tailored for ASC606 that helps companies to automate the recognition, measurement, and disclosure requirements of the ASC606 standard.
- It uses artificial intelligence and machine learning algorithms to analyze contracts and extract relevant data, including revenue, contract terms, and performance obligations.
- The system is designed to identify potential errors and discrepancies in contract terms and generate accurate financial data.