In this world many people recover from the pandemic Covid19 and plan to a state of normal, there is a wave of anxiety among all individuals, especially those who intend to resume in-person activity. Studies have proved that wearing a mask can reduce the risk of the virus as well as provides protection. Wearing a face mask has become normal. Therefore, face mask detection has become crucial to help global society. Thus, the proposed system helps society by saving time and loweringthe spread… Show more In this world many people recover from the pandemic Covid19 and plan to a state of normal, there is a wave of anxiety among all individuals, especially those who intend to resume in-person activity. Studies have proved that wearing a mask can reduce the risk of the virus as well as provides protection. Wearing a face mask has become normal. Therefore, face mask detection has become crucial to help global society. Thus, the proposed system helps society by saving time and loweringthe spread of coronavirus.This paper adopts a combination of lightweight neural network MobileNetV2 andSingle Shot Detector(SSD) with transfer learning technique to achieve the balance ofresource limitations and recognition accuracy so that it can be used on real-time video surveillance to monitor public places to detect if persons wearing a face mask. Our solution uses neural networking models to analyze Real-Time Streaming Protocol (RTSP) video streams using OpenCV and MobileNetV2. Show less

Familiarized with the four strategic business units such as Controland Instrumentation, Pneumatic Products, Information Technology, Strategic Services Group and the Projects for Physically Disabledstand apart as A MINI SBU. Familiarized with the assembling of electronics and communicationactivities includes Analog control system, Distributed controlsystem, programmable logic controller, Actuators, Data acquisitionsystems all types of field instrumentation, analyser