Anomaly Detection

Identifying anomalies in many modern industrial applications may be a difficult challenge. Our computer vision techniques, when paired with AI, enable machines to detect anomalies and hence improve quality assessment procedures on production lines, detect intrusions, diagnosis of medical abnormalities resulting in improved efficiency, shorter cycle production times, and high precision.

Spot with precision

Spot with precision

AI paired with CV may offer high precision quality control in applications such as industrial inspection.

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To address the difficulties of dealing with complex objects, a diversity of processes, and the requirement for a huge amount of positive and negative data, anomaly detection approaches have been devised.

Intelligent solutions around Anomaly Detection

Coupled with deep learning, vision AI approaches for anomaly detection perform better than conventional techniques.

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Anomaly detection is something which finds wide-spread usage across industries especially manufacturing. Sorting objects, detecting hazardous or unwanted objects, evaluating defects in manufacturing output for speeding up quality control are just some of many applications.

Intelligent solutions around Anomaly Detection

Automated Anomaly Detection For Enhanced Quality Control in Manufacturing

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Insights into item

A guide to computer vision platforms

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A guide to computer vision platforms

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Deep Learning and AI: Applications

Computers have come a long way from being a calculator to bearing artificial intelligence capacity, giving incredible results. Sometimes, those results are better than the average human outcomes, in highly specialized situations. Recent developments and technological breakthroughs have allowed computers to develop highly optimized analytical frameworks and predict situations with high degrees of accuracy. Thus, Artificial Intelligence and technologies like Deep Learning have extensive applications in nearly all sectors. In many scenarios, these technologies are making work possible without any human intervention.

Real-time Object Tracking and Localization: Advanced Techniques

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Real-time Object Tracking and Localization: Advanced Techniques

Read this blog to know more about the specific and advanced techniques for object tracking and localization such as object localization methods, advanced data association and Kalman filtering and practical applications of real-time object tracking and localization.

Case Studies

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