Robovision

Robovision Computer Vision AI Platform is an industry-grade AI platform designed to streamline the development, deployment, and maintenance of vision AI solutions across multiple industries and production lines. It emphasizes no-code/low-code capabilities, rapid time-to-market, and a closed-loop system where AI continually learns from operational experience, regardless of hardware or deployment environment. The platform supports end-to-end workflows from data import to model deployment, enabling organizations to optimize automation, reduce manual intervention, and accelerate innovation.

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How it works

• Data Import: Capture visual data with your preferred vision setup and upload to the Robovision AI Platform.
• Data Annotation: Label and annotate visual data using advanced tools (assisted grabcut, magnetic lasso) for fast segmentation.
• Data Curation: Check data quality with analytics and define ground truth.
• Model Training: Upload large volumes of data to train new models.
• Model Testing: Evaluate model performance against the ground truth.
• Model Optimization: Calculate data confidence and re-label the most relevant samples.
• Model Deployment: Deploy your custom AI to production, centrally or on-site.

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Platform Benefits

• Scalable & Maintainable AI for industrial settings
• No-code/low-code interface enabling non-experts to build and retrain AI solutions
• Faster Time-to-Market from single deployments to exponential value
• Closed-loop learning: AI improves as it experiences more data from operations
• Hardware-agnostic deployment supporting various environments
• Trusted by 1000+ deployments across six continents

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Industries and Use Cases

• Agriculture (horticulture automation, plant cutting recognition, tulip planter integration)
• Manufacturing (AOI, defect detection in high-speed processes, laminate quality control)
• Healthcare (radiology assistance for organ identification and anomaly detection)
• Other industrial automation scenarios requiring vision AI across production lines

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How It Works (Workflow Overview)

1. Data Import
2. Data Annotation
3. Data Curation
4. Model Training
5. Model Testing
6. Model Optimization
7. Model Deployment

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Success Stories (Examples)

• ISO Horti Innovators — Agriculture: Fully automated horticulture vision for recognizing, picking, and potting plant cuttings.
• AOI PCB — Manufacturing: Vision AI platform helps AOI machines with industrialized customization.
• NIH (USA) — Healthcare: AI assists radiologists in identifying organs and detecting anomalies.
• Unilin Group — Manufacturing: Vision AI-based defect detection for high-speed laminate manufacturing.

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How to Use Robovision AI Platform

• Data collection from your vision systems
• Annotate and curate data with built-in tools
• Train and test AI models on large datasets
• Deploy models to production lines locally or centrally
• Monitor performance and iterate to improve accuracy

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Key Features

• No-code / low-code platform for building and retraining AI vision models
• End-to-end data lifecycle: import, annotate, curate, train, test, optimize, deploy
• Hardware-agnostic deployment for on-premises or cloud environments
• Assisted segmentation tools (grabcut, magnetic lasso) for rapid labeling
• Closed-loop learning to continuously improve models from operational data
• Industry-ready templates and workflows across multiple sectors
• Scalable to handle large volumes of data and models
• Comprehensive success stories across agriculture, manufacturing, and healthcare