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Nowadays accidents due to alcoholic drink consumed by car drivers are increasing. The death rate due to drink and drive is in high in rate due to this especially in country like India. So, a system is proposed to detect the alcohol content level of the driver. The proposed work explores the possibility to detect alcohol at very first using technology. The alcohol content of the driver is detected using the MQ3 sensors embedded in the steering of the vehicle and cameras in the front. The breath of the driver is sensed through this sensor and the alcohol content is the blood is analyzed. The driver cannot start the car if the alcohol content is above the threshold value of. And cameras will analyze the color of driver's eye and if the colorof the eye is found to be different from normal, it will lead to engine power cutoff. The added features to this system are the alcohol sensors sense onlythe person sitting in the driver's seat and will cutoff the engine power if the alcohol amount is higher than desired only in driver's breath. Plus, this system will also send the location of the vehicle and the driver to one or more relative(s) of the driver who is supposed to know the location of vehicle so that they could reach there and protect the person and the vehicle from any harm. [ABSTRACT FROM AUTHOR]

Theo Jansen model is going to be much popular and efficient mechanism in Robotics Era. This mechanism is based upon the leg mechanism. Most of the researchers showing their attention towards this model to make more practical and efficient. This model has more energy efficiency. Theo Jasen mechanism can actually seem like a walking robot. In this paper, we present simulation of mechanism through solid works and implementation in real life with image processing and working of esp32 cam and esp8266 and live transmission through host and MATLAB. [ABSTRACT FROM AUTHOR]

The major population in this continent is under poverty and surviving their lives in a challenging eco system. Specifically, to study the effect of arsenic related health issues thoroughly, the data was taken from five sites of continent with the help of „The Savers‟ NGO who are working in the field of environment protection. The sites were located in the Doaba region of India. The study was designed very gingerly to collect all possible related aspects. Recurrent neural network is designed for statistical analysis and observation of future trends. The Arsenic related samples were collected from water and soil of areas and health issue related reports were collected from local health centers where the worker of this NGO identified the cases and then prepared the socio-economic based questioner from the patients from January, 2019 to December, 2020. It has been observed from the results that per site, the level of arsenic was 67% more than permitted levels of Central Pollution Control Board and WHO‟s Limit and more than 200 to 350 persons out of every 1000 were affected due to increased level of Arsenic in the area. The collected data was classified according to Age, Gender, Body Mass Index and Site specific for complex and likelihood observations with maximum probability index. Based on results, it has been concluded that the environment protection agencies must follow the guidelines and let awarethe raised issue in the study for saving ecosystem from such kind of cheap practices by local inhabitants. [ABSTRACT FROM AUTHOR]