MUMBAI, India, Oct. 31 -- Intellectual Property India has published a patent application (202411023403 A) filed by Bennett University, Greater Noida, Uttar Pradesh, on March 25, 2024, for 'object detection in images using convolutional neural networks.'
Inventor(s) include Prof. Ajith Abraham; and Dr. Madhushi Verma.
The application for the patent was published on Oct. 31, under issue no. 44/2025.
According to the abstract released by the Intellectual Property India: "The invention comprises a system and method for object detection in images utilizing convolutional neural networks. The system includes an image input unit to receive and preprocess images, a convolutional neural network unit to process the images and identify potential objects, and an output unit to generate and present the results. Advanced CNN techniques such as region proposal networks and pre-trained models are utilized to improve object detection accuracy and efficiency. The system also incorporates user feedback to adapt its performance. Moreover, it provides a visual representation of the identified objects with bounding boxes and supplies a confidence level for each identified object. This system offers enhanced accuracy and user interpretability in object detection tasks, with potential applications in diverse fields such as surveillance, autonomous vehicles, medical imaging, and robotics."
Disclaimer: Curated by HT Syndication.
