Noida, India

Mayank Haarit

This inventor holds 1 USPTO granted patent. Top assignee: Samsung Electronics Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mayank Haarit. Retrieved from https://idiyas.com/inventor/mayank-haarit

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Mayank Haarit: Innovating Mood Recognition in Art Images

Introduction

Mayank Haarit is an inventor based in Noida, India, associated with Samsung Electronics Ltd. His patent work explores how image-processing techniques and artificial intelligence can identify moods and sentiments in art images.

Latest Patents

Haarit is named on 1 patent: “Method and System for Extracting Sentiments or Mood from Art Images.” The invention describes receiving and preprocessing an art image, then extracting features such as its dominant perceptual color, subject, low-level visual characteristics, and mood-related information from its description. An artificial neural network classifies the extracted features into mood or sentiment categories, which are used to predict the mood or sentiment conveyed by the image.

Career Highlights

Haarit’s patent reflects an application of artificial intelligence to visual interpretation. By combining color, subject, image features, and descriptive information, the method aims to support automated analysis of emotional qualities in artwork.

Collaborations

The provided information lists Chandra Prabhaker and Neeraj Kumar as Haarit’s coworkers. The patent is associated with Samsung Electronics Ltd.

Conclusion

Mayank Haarit’s patented method brings together image analysis and neural-network classification to explore how technology can recognize mood and sentiment in art images.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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