Our annotated data can be used to train and validate computer vision models of robotic navigation applications, enabling them to safely interact with people and objects in the complicated production environment.
Our training Data helps build AI models to anticipate potential equipment failures before they occur. Identify equipment with the greatest risk of failing, allowing maintenance teams to respond accordingly. Proactively predict maintenance ,repairing cycles and replacing parts proactively will extend the life of your assets.
Computer vision and machine learning is used with cameras and Edge devices to pick up details and errors much more reliably than the human eye. When integrated with a cloud-based data processing framework, errors are instantly flagged and the response is automatically coordinated.
Get training data for you AI
Our experts define strategic business objectives and outcomes of the project
Data is collected using various technologies with inhouse expertise as per requirement
The team is trained & annotations are performed to extract meaningful insights for training AI
The data goes through stringent quality checks and sent for final deployment to meet the threshold accuracy
