Real-Time Anti Spoofing Face Detection with Mask Using CNN

As COVID-19 spread the whole way across the world, a significant number of us got mindful of how significant face covers are. Medical services authorities and nearby foundations from one side of the planet to the other are encouraging individuals to wear masks ,as it is the best way to forestall the transmission of the infection. Masks have without a doubt frustrated the facial-acknowledgment industry; the innovation has likewise adjusted. It might sound odd yet wearing a cover does not really prevent a PC from recognizing somebody. We are intending to prepare our model to recognize whether the pictures are genuine or fake one even though individuals are wearing face cover. In this paper, we intend to make a liveness detector equipped for spotting counterfeit faces. To make a liveness detector, we will prepare a deep learning neural network fit for recognizing genuine versus counterfeit appearances. It deals with two correlative spaces: RGB space and multi-scale Retinex (MSR) space. The RGB space contains the point-by-point facial surfaces, yet it is sensitive to illumination whereas the MSR pictures can adequately catch the high recurrence data, which is discriminative for face recognition

Mask Detection Using CNN and OpenCV

With Covid-19 tormenting the entire world, masks have become an essential item when stepping out of the house as it greatly prevents the spread of disease-causing germs and viruses. However, people often seem to take it lightly and not wear their masks when they step out. Therefore, we propose to design a mask detection system that alerts the concerned people with an alarm when the person in question is not wearing a mask. For this, we shall be using the medical imaging dataset obtained on Kaggle. In addition to this, we incorporate CNN and ResNet to train the model and OpenCV to test it with real-time data. We aim to obtain a high accuracy to ensure perfect face mask detection

Histone deacetylases facilitate sodium/calcium exchanger up-regulation in adult cardiomyocytes

It is becoming increasingly evident that histone deacetylases (HDACs) have a prominent role in the alteration of gene expression during the growth remodeling process of cardiac hypertrophy. HDACs are generally viewed as corepressors of gene expression. However, we demonstrate that class I and class II HDACs play an important role in the basal expression and up-regulation of the sodium calcium exchanger (Ncx1) gene in adult cardiomyocytes. Treatment with the HDAC inhibitor trichostatin A (TSA) prevented the pressure-overload-stimulated up-regulation of Ncx1 expression. Overexpression of HDAC5 resulted in the dose-dependent up-regulation of basal and α-adrenergic stimulated Ncx1 expression. We show that Nkx2.5 recruits HDAC5 to the Ncx1 promoter, where HDAC5 complexes with HDAC1. Nkx2.5 also interacts with transcriptional activator p300, which is recruited to the Ncx1 promoter. We demonstrate that when Nkx2.5 is acetylated, it is found associated with HDAC5, whereas deacetylated Nkx2.5 is in complex with p300. Notably, TSA treatment prevents p300 from being recruited to the endogenous Ncx1 promoter, resulting in the repression of Ncx1 expression. We propose a novel model for Ncx1 regulation in which deacetylation of Nkx2.5 is required for the recruitment of p300 and results in up-regulation of exchanger expression.—Chandrasekaran, S., Peterson, R. E., Mani, S. K., Addy, B., Buchholz, A. L., Xu, L., Thiyagarajan, T., Kasiganesan, H., Kern, C. B., Menick, D. R. Histone deacetylases facilitate sodium/calcium exchanger up-regulation in adult cardiomyocytes