Robovision

The Vision AI Platform for Industry

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Description

Robovision provides a comprehensive Vision AI platform tailored for industrial automation. It empowers businesses across various sectors, including manufacturing, agriculture, healthcare, and logistics, to enhance their operations by integrating artificial intelligence into machinery. The platform aims to help companies optimize automation processes, increase operational value, accelerate innovation, and improve time-to-market through intelligent computer vision solutions.

Designed for scalability, Robovision supports businesses from single deployments to widespread implementation, ensuring a growing return on AI investment. Its user-friendly, no-code interface allows users of all technical backgrounds to create, train, and retrain dynamic AI models. The platform operates as a closed-loop system, enabling AI to continuously learn and improve from the entire operational experience, regardless of the specific hardware used or whether it's deployed in the cloud or on-premises. With a proven track record of over 1000 deployments across six continents, Robovision offers a robust and reliable solution for industrial vision AI challenges.

Key Features

User-Friendly No-Code Platform: Enables users without coding expertise to create and manage AI solutions.
Scalable & Maintainable AI: Adapts from single machine deployments to large-scale industrial operations.
Closed-Loop AI Learning: Continuously optimizes models based on operational data and feedback.
Hardware Compatibility: Integrates with various industrial vision hardware setups.
Flexible Deployment: Supports both cloud-based and on-premises installations.
Advanced Data Annotation Tools: Includes assisted grabcut and magnetic lasso for efficient image segmentation.
End-to-End AI Workflow: Covers data import, curation, model training, testing, optimization, and deployment.
Data Curation & Quality Control: Features analytics to check labeled data quality and define ground truth.

Use Cases

Automated plant recognition, picking, and potting in horticulture.
Enhancing Automated Optical Inspection (AOI) for PCB manufacturing.
Assisting radiologists in identifying organs and detecting anomalies in medical images.
AI-based defect detection for high-speed laminate manufacturing.
Integrating computer vision into agricultural machinery like tulip planters.
Optimizing automation processes across manufacturing, logistics, and other industries.