Anomaly Detection
Driving Innovation
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Anomaly Detection
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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.
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.
Streamlined Seas: AI Optimizes Port Efficiency
Smarter operations reduce wait times, boost trade, and fuel economic growth across global shipping.
Goal - To enhance maritime safety, security, and efficiency through the implementation of advanced detection and monitoring systems.
- To identify, track, and monitor ships and maritime activities.
- To enhance maritime safety, security, and efficiency through the implementation of advanced detection and monitoring systems.
- To identify, track, and monitor ships and maritime activities.
Technique - Automatic Identification System (AIS), Radar and Satellite Imaging, Computer vision, Image processing, Predictive Analytics.
- Automatic Identification System (AIS), Radar and Satellite Imaging, Computer vision, Image processing, Predictive Analytics.
Impact - Enhanced maritime monitoring.
- Improved safety and security.
- Better environmental management.
- Cost-effective operations.
- Search and Rescue Support.
- Enhanced maritime monitoring.
- Improved safety and security.
- Better environmental management.
- Cost-effective operations.
- Search and Rescue Support.
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.
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