tools
LandingLens
LandingLens is a computer-vision platform for labeling images, training models, and deploying visual inspection systems.
LandingLens lets teams upload and label images, train deep-learning computer-vision models, test predictions, and deploy models to cloud or edge environments. It supports collaborative labeling, label definitions, project management, and continuous model improvement.
Manufacturers and other organizations use it for defect detection, visual inspection, classification, and object recognition. The platform offers a programmatic API and Windows App deployment options. Enterprise deployment, commercial offline model use, and additional support require an enterprise arrangement.
Features
- Create computer-vision projects without writing complex code
- Upload and label images with collaborative labeling
- Define consistent classes and labels with a label book
- Detect potentially mislabeled images
- Train models with one-button training
- Deploy models to cloud endpoints, Windows App, or edge devices
- Retrain models with new deployment data
Use cases
- Detect defects on manufacturing production lines
- Classify products, parts, or materials from images
- Inspect equipment and components with computer vision
- Train visual inspection models with small image datasets
- Deploy inspection models across multiple facilities