Robovision

Robovision offers a comprehensive Vision AI platform that enables businesses to harness the power of computer vision for smart automation. With over 15 years of experience and more than 1,000 successful deployments across six continents, Robovision provides a scalable and maintainable AI solution that integrates seamlessly into existing operations. The platform is designed to be user-friendly, allowing domain experts—such as factory operators, farmers, and physicians—to create and retrain dynamic AI solutions. By adding intelligence to machines, Robovision helps its partners optimize processes, increase value, and accelerate innovation and time-to-market. The core philosophy is 'Always Be Optimizing,' achieved through a closed-loop system where the AI continuously learns from operational experience, regardless of the hardware or deployment environment.

How to use Robovision

The Robovision platform streamlines the entire AI model lifecycle into a clear, seven-step process, making it accessible for users of all skill levels:

1. Data Import: Capture visual data using your preferred camera or vision setup and easily upload it to the Robovision AI Platform.
2. Data Annotation: Utilize powerful and intuitive tools to label and annotate your visual data. Features like assisted grabcut and magnetic lasso tools significantly speed up the segmentation process.
3. Data Curation: Assess the quality of your labeled data with advanced analytics. This step allows you to define your 'ground truth' and ensure the data is clean and reliable for training.
4. Model Training: This is where the AI magic happens. Upload large volumes of curated data to train new, custom computer vision models tailored to your specific needs.
5. Model Testing: Rigorously evaluate the performance of your newly trained model by comparing its predictions against the established ground truth to ensure accuracy and reliability.
6. Model Optimization: The platform helps identify the most relevant data samples for re-labeling by calculating data confidence scores. This targeted approach ensures continuous model improvement with minimal effort.
7. Model Deployment: Once optimized, your custom AI model is ready for the production line. Deploy it flexibly, whether managed centrally in the cloud, on-site (on-premise), or in a hybrid configuration.

Core Features of Robovision

• No-Code Platform: An intuitive, user-friendly interface that allows non-programmers to build and manage sophisticated AI models.
• End-to-End Workflow: A single platform that covers every stage from data collection and annotation to model training, deployment, and continuous optimization.
• Flexible Deployment: Supports cloud, on-premise, and hybrid deployment topologies to fit various security, connectivity, and processing requirements.
• Powerful Data Annotation: Includes advanced tools for fast and accurate image and video labeling, including segmentation and object detection.
• Continuous Learning Loop: The system is designed to constantly learn from new data from the production environment, ensuring models stay optimized over time.
• Scalability: The platform is built to grow with your business, from a single project to enterprise-wide implementation across multiple sites.
• Specialized Add-ons: Offers optional enhancements like 3D capabilities for spatial analysis and specialized tools for the healthcare industry.
• Industry Standards Compliance: Adheres to key industry standards like ISO25010 and ISO13485, ensuring quality and reliability, especially in regulated sectors.

Use Cases for Robovision

Robovision has a proven track record across several key industries:

• Agriculture: Pioneering AI in agriculture, Robovision powers machines for tasks like automated recognition, picking, and potting of plant cuttings (e.g., roses, tulips). Their technology is integral to machines that plant 50% of the global tulip bulb market.
• Manufacturing: Enhancing smart quality control on production lines. This includes real-time defect detection for products like PCBs (Printed Circuit Boards), laminate flooring, baked goods, and even on a nano-scale for the semiconductor industry, leading to higher yield and reduced waste.
• Healthcare: Assisting medical experts by automating the analysis of medical images. The AI can help radiologists identify organs, detect anomalies on CT scans, and standardize image processing, speeding up diagnosis and research workflows in life sciences.

Advantages of Robovision

Robovision provides a distinct competitive edge by making advanced AI accessible and practical. Key advantages include empowering domain experts to build their own solutions, which dramatically reduces development time and dependency on specialized AI teams. This leads to a faster time-to-market for new automated processes. The platform's scalable architecture ensures that the return on AI investment multiplies as a company grows. Its robust, tried-and-tested nature, proven in over a thousand deployments, gives businesses the confidence to tackle their most significant automation challenges.

Pricing and Plans

Robovision utilizes a flexible and scalable 'Pay as you grow' pricing model designed to align with customer success. The pricing structure is based on a custom quote and consists of two main components:

• Platform License: This is the entry point, providing access to the core platform features, including data import/export, model training, and deployment. The license can scale from a single workspace to multiple sites.
• Inference Licenses: These are required for running models in a production environment. Pricing is based on a 'per actor' model, where an 'actor' can be a specific model, camera, or another AI component. The cost depends on the number and complexity of the actors deployed.

Additional features such as 3D capabilities, medical add-ons, full GPU support, and dedicated customer support services are also available. To get specific pricing details, interested parties must request a quote directly from Robovision.