An Al-Based Security System Using Computer Vision and NLP Conversion System

Abstract

In this 21st century, ensuring the security of a place is one of the most crucial things. We have to use either manual or semi-autonomous entrances and human security guards in most of the security systems. Many sophisticated apartments are still now using a traditional security system to ensure safety. Besides, monitoring only by the camera in a certain area is not a better solution to confirm safety. A lot of paperwork has been proposed to make security system as efficient as possible. But a few methods have been proposed an intelligent security system with integrated hardware and automation. The proposed methodology has emphasized building a robotics ecosystem of security that control entrances to give access to authentic people, making decisions and taking actions in any circumstances automatically by itself. These tasks are being performed based on a collective method of image processing, natural language processing, supervised learning, IoT, automation and web server technology. This robotic system is capable of memorizing previously identified humans with their information, talking with users in a local language, gathering necessary information and detecting everything with the user. By this method, there has been proposed a solution to overcome the limitations of a manual or semi-autonomous security system and provide intelligent AI-based security with a robotic ecosystem at a minimum cost.