Automatic Face Mask Detection Using Python

The corona virus COVID-19 pandemic is causing a global health crisis so the effective protection methods is wearing a face mask in public areas according to the World Health Organization (WHO). The COVID-19 pandemic forced governments across the world to impose lockdowns to prevent virus transmissions. Reports indicate that wearing facemasks while at work clearly reduces the risk of transmission. An efficient and economic approach of using AI to create a safe environment in a manufacturing setup. A hybrid model using deep and classical machine learning for face mask detection will be presented. A face mask detection dataset consists of with mask and without mask images, we are going to use OpenCV to do real-time face detection from a live stream via our webcam. We will use the dataset to build a COVID-19 face mask detector with computer vision using Python, OpenCV, and Tensor Flow and Keras. Our goal is to identify whether the person on image/video stream is wearing a face mask or not with the help of computer vision and deep learning

A Multiple Sensor Data-Fusion for EFD Using IoT

Multi sensor data fusion allows large scale deployments for environmental monitoring applications especially in the areas like homes, other buildings and infrastructures and industries. In such areas early fire detection is of great importance as the consequences of a fire are catastrophic. This project predicts the possibility of catching fire using a multi-sensor scheme of data fusion to enhance the performance of the early fire detection process by detecting the concentration of inflammable gases in the atmosphere and by measuring the atmospheric temperature

Identification of plant Syndrome using IPT

Agricultural productivity is something on which Indian economy highly depends. This is the one of the reasons that disease detection in plants plays a vital role in agriculture field, as having disease in plants are unavoidable. If proper care is not taken in this area, then it causes serious effects on plants and due to which the overall agriculture yield will be affected. For instance, a disease named little leaf disease is a hazardous disease found in pine trees in United States. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself if detected properly by identifying the symptoms of diseases can result in increased productivity. This paper presents an algorithm for image segmentation technique which is used for automatic detection and classification of plant leaf diseases. It also covers diseases classification techniques that can be used for plant leaf disease detection. Image segmentation is one of the method which will segment the raw images in to two or more clusters and the programmed algorithm will work fine in analyzing these clusters for disease classification and prediction of type of disease that a plant leaf gets affecte

AR Watch Try – On Application for Android Devices

In recent days Augmented Reality is an emerging trend in marketing and sales strategies. Augmented reality ads are immersive, which means they help marketers create a certain emotional connection with customers. Unlike images or banners, for example, AR ads are interactive and lifelike consumers can see and even interact with them. Now-a-days people prefer online shopping rather than the traditional window shopping and Augmented Reality allows brands to give customers unique experiences with the convenience of tapping into their mobile devices. So the main purpose is to build an “AR Watch Try-On application” is to develop android application for trying different watches in a Virtual way using a mobile which supports AR camera. This application can be used on Online Watch Shopping websites and applications such as Titan, Fastrack, Sonata and so on. The application will eliminate the human efforts by physically visiting the Watch shops which is very time-consuming activity. User can try out multiple watches and different varients of those watches

Endogeneity and dynamics of innovation and firm performance

Technological and innovation capabilities play an important role in determining the performance of firms, especially in knowledge intensive industries. Despite the plethora of studies testing the relationship between innovation capabilities and firm performance, little consensus has been achieved on the veracity of the theoretical claims. In this paper, we argue that the lack of consensus could be on account of the failure to take into account the endogeneity that arises from the decision process that underlies the relationship between development of technological capabilities and its impact on firm performance. We address both these issues and demonstrate that alternative empirical designs can help provide greater external validity. © 2014 Inderscience Enterprises Ltd

Innovation capabilities and international performance of firms: A quantile regression approach

This study examines the relationship between various dimensions of a firm\u27s technological innovation capabilities and its international performance. We use panel data with multiple indicators of firm level technological capabilities including generation, dissemination, strength and speed of innovation. We employ a quantile regression analysis which allowed us to test the impact of innovation capability on international performance of high, average and poor performers. Our empirical findings indicate significant disparity between the ordinary least square and quantile regression results. Copyright © 2012 Inderscience Enterprises Ltd

FORMULATION DEVELOPMENT AND EVALUATION OF GASTRORETENTIVE FLOATING TABLET OF CIPROFLOXACIN HYDROCHORIDE

Objective: The aim of formulating floating tablets of ciprofloxacin hydrochloride was to prolong the gastric residence time after oral administration to achieve the controlled release of drug. Ciprofloxacin hydrochloride, a broad-spectrum fluoroquinolone antibacterial agent and it is use in the treatment of bone and joint infections, diarrhoeal infection, lower respiratory tract infections, urinary tract infections and meningococcal prophylaxis.Methods: Floating tablets of Ciprofloxacin hydrochloride were prepared by wet granulation method using two different grades (K-100M & K-4M) of Hydroxyl Propyl Methyl Cellulose (HPMC) and Carbopol 934P using effervescent technique. Sodium bicarbonate was incorporated as a gas-generating agent. The floating tablets were evaluated for uniformity of weight, hardness, friability, drug content, in vitro buoyancy and dissolution studies. The effect of citric acid on drug release profile and floating properties was also investigated.Results: It was observed that tablet swelled radially and axially during in vitro buoyancy studies and remained buoyant for 10-14 h. The combination of sodium bicarbonate (70 mg) and citric acid (20 mg) was found to achieve the optimum in vitro buoyancy.Conclusion: In the present work it was concluded that the floating duration of was more in tablet with HPMC K-100 as compared with formulations containing HPMC K-4M. Drug ciprofloxacin hydrochloride release could be prolonged about 14 h in the GIT by using blend of HPMC-K 100M with sodium bicarbonate as gas generating agent and formulate it as a gastro retentive floating tablet.Keywords: Floating lag time, Ciprofloxacin hydrochloride, Total floating time, Hydroxyl Propyl Methyl Cellulos

A Comparative study of oxidant and Anti-oxidant parameters in Chronic Renal Failure, Haemodialysis (Pre &Post) and Controls

Chronic kidney disease (CKD) is featured by a progressive decline of kidney function and is mainly caused by chronic diseases such as diabetes mellitus and hypertension. CKD is a complex disease due to cardiovascular complications and high morbidity; however, there is no single treatment to improve kidney function in CKD patients. Since biological markers representing oxidative stress are significantly elevated in CKD patients, oxidative stress is receiving attention as a contributing factor to CKD pathology. Aim of our study is comparison of oxidant and anti oxidant parameters in chronic renal failure, Hemodialysis (pre and post) and control subjects. Materials and Methods: The present study was conducted on a patient group comprising of 50 patients diagnosed with CRF, 50 were pre hemodialysis, 50 were post hemodialysis (MHD). This patient group was compared to a healthy group including 100 controls. All the study participants were admitted in the department of Medicine [Nephrology department] at “Fathima Institute of Medical Sciences”, Kadapa. Andhra Pradesh. India. The obtained serum samples were used for biochemical analysis for estimating MDA, vitamin A and Glutathione Peroxidase (GPx). Conclusion: Our results reflects the primary mechanisms of oxidative stress and inflammation during hemodialysis which may cause of CVD development in hemodialysed patients

To study the organization of LDL-C/HDL-C ratio and inflammatory marker CRP in acute myocardial infarction

There is an increasing incidence of coronary artery disease in India. We therefore need a tool to evaluate the severity and prognosis of this acute myocardial infarction. In acute myocardial infarction, the function of plaque rupture and inflammation has already been identified. Aim: To study the organization of LDL-C/HDL-C ratio and inflammatory marker CRP in acute myocardial infarction. Methods and Material: Patients who have been diagnosed as acute myocardial infarction (ST Elevation Acute myocardial Infarction or Unstable angina/Non ST Elevation Myocardial Infarction) and admitted to ICCU of Rajiv Gandhi institute of Medical Sciences, Kadapa, AP. are the subjects. Sample consists of 100 cases of acute myocardial infarction. Case history was taken from the patients, and studied according to proforma. Conclusion: Elevated levels of CRP are independent indicators of adverse effects. When contrast with the LDL / HDL ratio, CRP is used for risk stratification and as a prognostic predictor. These findings suggest that in patients with acute myocardial infarction, raised CRP Levels is significant as compared to LDL/HDL ratio

EFFECT OF REPETITIVE SET OF MULTIPLE EXERCISE RESISTANCE TRAINING ON SELECTED BODY COMPOSITION VARIABLES

The purpose of the study was to find out the effect of repetitive set of multiple exercise resistance training on selected body composition variables. To achieve the purpose of the present study, thirty college male students were selected as subjects at random and their ages ranged from 18 to 25 years. The subjects were divided into two equal groups of fifteen male students each. The study was formulated as a true random group design, consisting of a pre-test and post-test. The groups were assigned as repetitive set of multiple exercise resistance training and control group in an equivalent manner. The experimental group participated the training for a period of twelve weeks to find out the outcome of the training packages and the control group did not participated in any training programme. Paired ‘t’ test was applied. In all cases 0.05 level of confidence was fixed to test hypotheses. Results reveals that the repetitive set of multiple exercise resistance training group had shown significant improvement in all the selected body composition variables after undergoing training for a period of twelve weeks