COVID-19 pandemic has affected the world severely, according to the World Health Organization (WHO), coronavirus disease (COVID-19) has globally infected over 176 million people causing over 3.8 million deaths. Wearing a protective mask has become a norm. However, it is seen in most public places that people do not wear masks or don’t wear them properly. In this paper, we propose a high accuracy and efficient face mask detector based on MobileNet architecture. The proposed method detects the face in real-time with OpenCV and then identifies if it has a mask on it or not. As a surveillance task, it supports motion, and is trained using transfer learning and compared in terms of both precision and efficiency, with special attention to the real-time requirements of this context.
The current police system has very few digitalized features. With the increase in crime and corruption, bringing smartness in police workforce has become a necessity. Digitizing these systems will improve the efficiency of the systems. Digitizing can also give various advantages like reducing old file work, detailed description of crimes, ease of communication between common people and police, efficient access of criminal details, ease of police work etc. In the 21st century where mobile and information technology have become an integral part of our lives. A new area where mobile integrated with technology is useful for crime reporting since readily accessible information is not available at any point in investigation this is a key drawback for communication in police department. Thus, using cloud, we will try to make all the information related to the criminals available on the Android Application to the police during their investigation which would speed-up the entire process of tracking down the criminals.
In the present work, the adsorption of nickel ions from leachate sample by activated carbon prepared from seeds of Delonix Regia was studied. The activated carbon prepared by pretreatment with KOH was subjected to SEM, XRD and FTIR analysis. The influences of different experimental parameters on nickel uptake were investigated such as sorption time, final solution pH, adsorbent dosage and temperature. The experimental data were correlated to different kinetic and adsorption models and the corresponding kinetic parameters were determined. The % removal was found to be 75.03% and follows pseudofirst order kinetic model for Ni. These parameters are considered fundamental for further studies involving the scale-up of the process for continuous studies.
