Streamlining Annotations and Data Quality Management with ReliVison’s Intuitive Interface
Our data curation module with intuitive graphical annotation and data quality management tools puts the power to build perfect AI training datasets in your hands. Mark arbitrary objects/defects, define labels, compare and merge annotations, import/export in industry standard formats and many more, all in one place.
Accelerating Time to Value by Leveraging ReliVision's Pre-Implemented AI Model Library
Choose an AI model for your task from the ReliVision’s rich and continuously growing pre-implemented AI model library. Train, test and compare different models to choose the best for your QA application.
Boosting Accuracy By Leveraging ReliVision’s Advanced AI Model Training Capabilities
Build your own custom QA solution, exercise full control over AI model training with access to key training parameters and train with a single click. Monitor the training performance, abort, update, retrain on demand, compare the results and get the best. Ensure top-notch accuracy and adaptability by improving your solutions via retraining models in the ever-changing manufacturing landscapes.
Improve and Adapt Your AI Solutions with the ReliVision’s Shop-Floor Feedback-Driven Learning
Turn your shop-floor operators to AI trainers by enabling them to effortlessly interact with the ReliVision edge server, ReliAudit, via an intuitive web interface, to provide feedback about automated inspection results. Their feedback is used for improving the solution performance and also to adapt the solution to changing production virtually without any effort. Thus multiply your field experts at no cost and for a 7/24 shift!
Low Cost Scale-up to Multiple Lines/Sites
Handle multiple tasks with effective queueing mechanisms, replicate high performing solutions to multiple lines and sites at no cost, multiply hardware and software incrementally as needed, scale-up your computation power seamlessly. All made possible by the ReliVision’s novel synchronized distributed architecture.