Intellectual Property India Publishes Patent Application for 'Machine Learning And Ai Based Humanoid Device For Object Identification' Filed by Shree Venkateshwara Hi-Tech Engineering College

MUMBAI, India, Aug. 1 -- Intellectual Property India has published a patent application (202441005076 A) filed by Shree Venkateshwara Hi-Tech Engineering College, Gobichettipalayam, Tamil Nadu, on Jan. 25, 2024, for 'machine learning and ai based humanoid device for object identification.'

Inventor(s) include Dr. P. Thangavel; Dr. V. Saminathan; Dr. R. S. Kamalakannan; Dr. S. Ayisha; and Dr. M. Sunandini.

The application for the patent was published on Aug. 1, under issue no. 31/2025.

According to the abstract released by the Intellectual Property India: "Machine learning and AI based Humanoid Device for Object Identification Machine learning and artificial intelligence (AI) are among the most advancing technologies in the field of robotics. Combining these technologies to create humanoid devices has the potential to revolutionize the way we interact with machines. One area of application for such devices is object identification. Object identification is the process of identifying and categorizing objects based on their visual characteristics. Traditional methods of object identification involve using pre-defined rules and features to recognize objects. However, these methods need to be improved in their ability to recognize objects in complex and dynamic environments accurately. The use of machine learning and AI allows humanoid devices to learn and adapt to their surroundings, making them more accurate and efficient in object identification. By analyzing large amounts of data, these devices can develop their algorithms and models to identify objects accurately and in real time. This not only improves their performance but also allows them to recognize a wider range of objects. The use of machine learning and AI enables these devices to continuously learn and improve their identification capabilities through interactions with humans and their environment. This allows for personalized and adaptive object identification, where the device can recognize objects specific to each individual."

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