Driving Innovation


Rubiscape's Impact in the

Computer Vision

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AI Unmasks Tumors: Beyond the Invisible.

Early diagnosis improves outcomes, and groundbreaking AI technology is revolutionizing brain tumor detection.

Goal

  • To enable early detection and diagnosis of Brain Tumour from MRI Scans.
  • To detect location and area of tumour.
  • To implement algorithms for quantitative assessment of tumour growth over time.

Technique

  • Exploratory Data Analysis, Image pre-processing and augmentation, Image classification and Segmentation algorithms, Visualization.

Impact

  • Provides an early and appropriate information for diagnosis.
  • Delineates pathological regions, offering valuable insights for surgical planning.
  • Early Intervention and Treatment
  • Lesser Human Intervention.

Flawless Vision: AI Secures Optical Quality

Precision meets speed with AI-powered inspection, ensuring superior optics in every product.

Goal

  • To ensure manufacturing precision and reliability.
  • To quickly identify cracks, porosities, or surface imperfections on the cylinder head using computer vision.
  • To separate defective cylinder heads from those meeting quality standards based on computer vision results.

Technique

  • Image augmentation, Image classification, Object detection, Computer vision, Deep learning, Surface Defect Analysis.

Impact

  • Early defect identification and process optimization contribute to lower production costs.
  • Predictive maintenance based on data science models minimizes downtime and prevents unexpected failures.
  • Automation reduces manual effort, leading to quicker inspections and improved production efficiency.

Watching Wisely: AI Detects Suspicious Activity

Early detection, faster response, enhanced safety with intelligent activity monitoring.

Goal

  • To detect any type of suspicious activity performed by a human.
  • To classify activity into its particular class for effecting an immediate necessary action.
  • To monitor high-level patterns of activity and identify early indicators.

Technique

  • Exploratory Data Analysis, Image pre-processing and augmentation, Object detection and Image classification algorithms, Visualization.

Impact

  • Quicker and better suspicious activity detection.
  • Creation of a safer environment for people.
  • Attention based system for a more aggressive detection.
  • Lesser Human Intervention.

Mapping Maze: Classifying Alzheimer’s precisely

New advancements unlock earlier diagnosis, tailored treatment, and hope for the future.

Goal

  • To enable early detection and diagnosis of Alzheimer’s disease.
  • To classify accurately the Alzheimer’s stage for timely intervention and treatment.

Technique

  • Exploratory Data Analysis, Image pre-processing and augmentation, Image classification algorithms, Visualization.

Impact

  • Early Intervention and Treatment
  • Cost-effective treatments, reducing the overall burden on healthcare systems.
  • Lesser Human Intervention.
 

Do even more with Rubiscape

AI-driven organisations around the world use Rubiscape to solve their most pressing business problems.



Computer Vision

Drag, Drop, Discover:
Insights Made Simple.

Dive deep into your data, create stunning visuals, and gain actionable insights with ease.

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Computer Vision

Build, Deploy, Manage:
Streamline AI Workflow.

Build robust, Scalable ML/DL models with ease , automated workflows & data empowerment.

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Computer Vision

Wrangle, Blend, Analyze:
Data Orchestration Refined.

Develop data fabric and flow designs with low-code, pro-code and self service platform.

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Computer Vision

Manage, Evaluate, Automate:
Edge Analytics Seamless.

Handle data or device management with integrated ML models and M To M application.

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