TruAI Vision

Extract intelligence from images and surveillance videos

Datamatics TruAI Vision

Datamatics TruAI Vision uses visual inputs in the form of images and videos to train the AI/ML models to react based on the inference. It uses Computer Vision as basis to emulate the human vision to react to stimuli at the fraction of the time required for manual decision-making and reaction. It is useful to perform tasks that are difficult for humans to perform. It is useful for automating unique use cases, including face recognition in security systems, predict breakdown of heavy machinery, forecast the onset of a disease based on visual cues, etc.

Benefits

Emulate human vision through surveillance mechanisms

Use images and videos to monitor situations in real-time, for example, traffic density, theft, ATM premise security.

Improve accuracy of data extraction

Increase accuracy of data extraction from unstructured and free text documents.

Biometrics

Improve biometrics based identity recognition in high security zones and gated communities in an agile environment.

Features

Advanced image enhancement for better OCR

Improve accuracy of data capture with AI/ML powered image enhancement.

ID recognition and data extraction

Recognize the facial contours from a photo for ID validation and extract the credentials from licenses, passports, resident permits, etc.

Face recognition and matching

Use biometric identification, such as face recognition and matching, in security mechanisms.

Image classification

Classify images of products, medical conditions, disease conditions, etc., using Deep Learning models for identifying relevant data, eliminating outliers, removing duplicates, etc.

Image captioning

Generate textual image description or describe the content of an image in words through an encoder-decoder framework.

Object identification

Locate instances of objects within photos, graphics, and videos by using Deep Learning models to replicate human intelligence.

Object tracking

Track objects, people, traffic, etc. through surveillance systems by using AI/ML algorithms and Computer Vision

Frequently Asked Questions

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