Implementation of Enhanced Security System using Roboflow

Perfect security system is needed as the current world is not safe as it is in the old days, and it has gained particular attention in the current scenario day-to-day activities. So, we need a enhanced and advanced security system. Human age and growth rate is a continuous process, and it cannot be reversed. Several facial features such as comers of the mouth, nose, and eyes vary over the years. Hence are undetected by present scenario security systems placed in commercial buildings, industries, educational institutions and public meetings etc. These problems are solved by this proposed work. In this proposed work, Roboflow software module for face recognition and face detection is used, which are used to provide accurate and precise recognition even in difficult situations and with varying demographics. It includes the main processor as Raspberry Pi as a central computing system which reduces the implementation costs. The project is to provide a complete and dependable defensive system that protects people, property, and institutions from security threats by integrating Roboflow into the security infrastructure. Our Simulation results reveal that the proposed work is more efficient than the previous works in literature i.e. Accuracy as 95.7 % , mean average precision as 99.7% and Recall as 100%.