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Robovision AI

Intelligence from visual data with 2D/3D labelling and cloud deployments.
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What is Robovision AI?

Robovision is a company that provides a comprehensive platform for computer vision AI applications. Their offering includes both a platform for developing and maintaining AI-based vision applications and an edge device called Robovision Edge for real-time insights in on-premises AI solutions. The platform is designed to be accessible to non-experts, allowing businesses to develop, implement, and adapt AI solutions without requiring extensive technical knowledge. It supports a variety of applications, including label and package inspection, in-line quality control, and object detection. The platform also offers scalable solutions, making it suitable for expanding AI applications across multiple lines and factories. Additionally, Robovision Edge ensures low latency with high-performing GPUs and is compatible with various hardware setups, ensuring compatibility across different production lines.



⚡Top 5 Robovision AI Platform Features:

  1. Integrated Edge Solutions: Robovision Edge integrates seamlessly with the Robovision AI platform, allowing for on-premise low-latency operations.
  2. User-Friendly Platform: The platform is designed for users without a background in engineering or AI to develop and maintain AI-based vision applications autonomously.
  3. Scalable Design: The platform is scalable, making it suitable for expanding AI applications across multiple production lines.
  4. Out-of-the-box Algorithms: Robovision offers a wide range of ready-to-use algorithms for various AI processes, such as labeling and object detection.
  5. Real-time Insights: Robovision Edge provides real-time insights for on-premises AI solutions, enabling quick deployment and adaptation of models.



⚡Top 5 Robovision AI Platform Use Cases:

  1. Label or Package Inspection: The platform’s out-of-the-box classification algorithm can distinguish different classes of images, making it suitable for label or package inspection tasks.
  2. In-line Quality Control: The object detection algorithm helps in identifying objects and drawing bounding boxes around them, which is useful for verifying the presence of subcomponents or detecting poor products.
  3. Automating Business Operations: Companies can automate business operations through smart computer vision applications that scale with the help of Robovision AI.
  4. Monitoring Everything: The platform can be used to monitor everything, all the time, from measuring traffic speed to recognizing intruders.
  5. Building Vision Applications: Robovision enables collaboration between medical experts and AI engineers when creating smart clinical decision support systems.

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