Smart Vision: Real Time Object Detection

11 Pages Posted: 18 Dec 2023

See all articles by Radhakrishnan Sanjay Narayanan

Radhakrishnan Sanjay Narayanan

SRM Institute of Science and Technology

Badrevu Abisharan

SRM Institute of Science and Technology

Lalith Reddy Konetigari

SRM Institute of Science and Technology

Date Written: November 10, 2023

Abstract

The "SMART VISION - Real-Time Object Detection" system leverages state-of-the-art machine learning algorithms to identify and classify objects in real-time video streams. Designed to integrate seamlessly into various applications such as surveillance, robotics, and autonomous vehicles, the system offers high accuracy and low latency. Utilizing a combination of convolutional neural networks and optimized hardware, SMART VISION provides a robust and scalable solution for real-time object recognition. The system offers both pre-trained and customizable models, allowing users to tailor its capabilities to specific needs. Preliminary tests demonstrate exceptional performance, promising significant benefits in operational efficiency and safety across diverse fields.

Keywords: autonomous,security,detection

Suggested Citation

Narayanan, Radhakrishnan Sanjay and Abisharan, Badrevu and Konetigari, Lalith Reddy, Smart Vision: Real Time Object Detection (November 10, 2023). Available at SSRN: https://ssrn.com/abstract=4636010 or http://dx.doi.org/10.2139/ssrn.4636010

Radhakrishnan Sanjay Narayanan

SRM Institute of Science and Technology ( email )

Badrevu Abisharan

SRM Institute of Science and Technology ( email )

Lalith Reddy Konetigari (Contact Author)

SRM Institute of Science and Technology ( email )

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