Robovision – Computer Vision AI Platform

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AI is crucial in today’s changing business world. One area where AI has shown remarkable potential is Computer Vision, which enables machines to comprehend and analyze visual data. Robovision stands out as one of the foremost platforms in this field.

This platform is a leading provider of computer vision AI solutions, which offers a comprehensive platform that covers the entire AI life cycle. This article aims to delve into the functionalities and benefits of the Robovision Platform, highlighting its distinctive features and showcasing how it can revolutionize your business’s AI capabilities.

Robovision - Computer Vision AI Platform - What is Robovision
Robovision
Free Trial, Paid
  • Project Creation
  • Data Management
  • Model Training
  • Model Evaluation
  • Deployment Options
  • Autonomous Vision Applications
  • Operational Efficiency
Robovision - Computer Vision AI Platform - Key features of the Robovision Platform

What is Robovision?

Robovision is a visionary platform that enables businesses to utilize the potential of computer vision AI. It empowers users to develop and maintain AI-based vision applications autonomously, even without a background in engineering or artificial intelligence. With Robovision, businesses can unlock new intelligence from visual data, streamline AI workflows, and adapt quickly to changing conditions.

The Robovision Platform: A Workflow Overview

The Robovision Platform simplifies the process of developing, implementing, and adapting AI models. It consists of several key steps that guide users through the AI life cycle:

Create a project

In Robovision, a project is a series of steps that handles creating and training AI models. Different project types are available, each designed to solve specific computer vision problems, such as image classification, object detection, instance segmentation, semantic segmentation, and anomaly detection.

Robovision - Computer Vision AI Platform - The Robovision Platform - A Workflow Overview - Create a project
Courtesy of robovision.ai

Upload data

To train an AI model effectively, companies need to provide labeled samples as input data. Robovision offers users the flexibility to upload data from various sources, including local computer storage, cloud storage, or Robovision Edge. It’s crucial to have a diverse dataset that covers various scenarios and conditions relevant to the AI model’s objective.

Robovision - Computer Vision AI Platform - The Robovision Platform - A Workflow Overview - upload data
Courtesy of robovision.ai

Label data

Robovision offers 2D and 3D labeling tools for domain experts to work with complex samples apply their knowledge and complete the labeling process efficiently. For large and collaborative projects, labelers can be assigned to share the workload, working closely with experts to deliver accurate AI models.

Robovision - Computer Vision AI Platform - The Robovision Platform - A Workflow Overview - label-data
Courtesy of robovision.ai

Start training

Once the basics are set up, users can train the AI model using the labeled dataset. Robovision supports training multiple models simultaneously, enabling efficient management and scalability of AI operations within teams.

Robovision - Computer Vision AI Platform - The Robovision Platform - A Workflow Overview - start training
Courtesy of robovision.ai

Evaluate model

After training, it is essential to assess the accuracy and performance of the AI model. Robovision facilitates model evaluation by providing tools to verify if the model accurately annotates images. If errors occur, additional samples can be added to the training dataset to retrain the model. Project leaders or team leads have the authority to approve or reject models before deployment.

Robovision - Computer Vision AI Platform - The Robovision Platform - A Workflow Overview - evaluate model
Courtesy of robovision.ai

Deploy model

Robovision offers two methods for model deployment: cloud deployment and edge deployment. Cloud deployment provides an API endpoint that allows the model to be used on the company’s system without complicated configurations. On the other hand, edge deployment through Robovision Edge enables real-time inferences by connecting trained models with on-site data.

Robovision - Computer Vision AI Platform - The Robovision Platform - A Workflow Overview - deploy-model
Courtesy of robovision.ai

Key features of the Robovision Platform

Robovision.ai is a Computer Vision AI platform that offers a comprehensive set of features to streamline the development, implementation, and adaptation of AI in dynamic environments. Here are the key features of the Robovision platform:

Project Creation

The platform allows users to create projects tailored to specific computer vision problems. These projects can be categorized into various types, such as image classification, object detection, instance segmentation, semantic segmentation, and anomaly detection.

Data Management

Users can collect and upload samples to form the training dataset for their AI models. The Robovision platform supports data upload from local computer storage, cloud storage, or Robovision Edge. It provides easy-to-use 2D and 3D labeling tools for domain experts to label complex samples and collaborate with other team members.

Model Training

The platform enables users to train multiple models simultaneously using the labeled dataset. Different team members can train models concurrently, making it easier to manage and scale AI operations. The training process helps develop a trained model for the specific computer vision problem.

Model Evaluation

After training, the accuracy of the model is checked to ensure proper annotation of images. Additional samples can be added to the model and retrained if there are errors in the model. Project leaders or team leads have the authority to approve or reject models before deployment.

Deployment Options

Robovision offers two deployment methods to meet different needs. Cloud deployment allows the model to be made available for use through an API endpoint, simplifying integration without complicated configurations. Edge deployment, through Robovision Edge, connects trained models with on-site data for real-time inferences.

Autonomous Vision Applications

Robovision aims to empower users without a background in engineering or artificial intelligence to develop and maintain AI-based vision applications autonomously. The platform facilitates the entire lifecycle of AI development, implementation, and scaling. It allows for quick iteration times, enabling users to update, improve, or switch between different models based on new data or product types.

Operational Efficiency

By leveraging Robovision, businesses can achieve cost savings and revenue growth while ensuring business continuity. The platform reduces downtime risks and costly change orders associated with dependency on IT or external consultancy services. It enables large-scale AI production, maximizes AI potential, and shortens AI development time.

The Power of Data in Robovision

Data plays a crucial role in training accurate and reliable AI models. Robovision allows businesses to collect and label data effectively. By providing access to a diverse dataset, companies can ensure their models are trained to perform well in dynamic environments. Robovision supports various data storage options, making it flexible and convenient for users.

Robovision Pricing

If you want to know the exact and latest prices for the Robovision platform, you can reach out to the Robovision sales team directly using the “Contact Sales” option on their website. They’ll give you all the correct and updated price information you need.

Robovision Alternative

  • AI Studios
  • Chooch AI Vision
  • AIStudio
  • Lightning AI
  • Landing.ai

FAQs

Can Robovision’s platform be used by individuals without a background in engineering or AI?

Absolutely! Robovision is designed to be user-friendly and accessible to individuals without prior engineering or AI experience. It allows domain experts to collaborate effectively with data scientists and develop AI-based vision applications autonomously.

What deployment options does Robovision offer?

Robovision offers both cloud deployment and edge deployment options. Cloud deployment provides an API endpoint for easy integration, while edge deployment through Robovision Edge enables real-time inferences with on-site data.

How does Robovision ensure the accuracy of AI models?

Robovision provides tools for evaluating the accuracy of AI models. Users can verify if the models accurately annotate images and make corrections by adding more samples to the training dataset.

Can Robovision handle large-scale AI operations?

Yes, Robovision is designed to handle large-scale AI operations. It supports training multiple models simultaneously, allowing teams to efficiently manage and scale AI projects.

How does Robovision help businesses adapt to changing conditions?

Robovision enables businesses to quickly adapt to changing conditions by minimizing iteration times. Companies can update, improve, or switch between different models based on new data or product types, ensuring their AI applications remain relevant and effective.

Conclusion

In a rapidly evolving technology context, it is essential for businesses to adopt cutting-edge solutions like Robovision’s computer vision AI platform. By providing a comprehensive suite of tools and functionality, Robovision enables companies to unlock the true potential of AI and revolutionize their operations across multiple domains.

From project creation to model training and deployment, Robovision ensures a seamless and efficient workflow, enabling businesses to harness the power of visual data. Then embrace the future of AI with Robovision and take your organization to unparalleled heights of success. If you found this article useful, enjoy another guide on How-To-Innovative.