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