Lokesh Dagar

I had worked as an intern in northern central railways in agra where i had done 2 months of internship in engineering department agra  cantt  under senoir section engineer. 

to develop an efficient face mask detection tomaintain the rules during these tough times of covid-19 outbreak and to help people protect themselves from the virus.
face mask detection alert system using reapberry pi which detects whether the person have worn a mask or not.

The primeobjective of this project is to be an eye and handof the humans at time where presence of man can be dangerous. In the midst of this pandemic tracing and testing have proved to be a solution but to execute it is still a problem for the health care staffs. very high. The drone will be used for the surveillance purposes, to have access to essential medical items such as sanitizers, m a s k se t c in the areas where presence of humans can spread the transmission of the virus. The drone will be specially used in the rural areas for the surveillance and also help in detecting the chain of the virus and not only in the COVID-19 pandemic but in any viral infections such as Swine flu, etc. Drones can also be used to sanitize the areas or the zones which are in the contaminated andw h e r e infection rate is high And till now these types of drones are not very commonly used in the medical sector and the existing ones are very costly and we are willing to make a cheap and efficient one.

The Internet of Things (loT) concept describes an intelligent connectivity of smart devices using the internet network.
•Nowadays, companies try different approaches for maintenance as solution to reduce costs and the frequency of maintenance activities.loT-based maintenance extends equipment's life, helps to eliminate as much as 30 percent of the time-based maintenance routine, and reduces equipment downtime by 50percent The System will be able to maintain itself i.e. if any problem occurs it will automatically notify the technician according to the Maintenance requirement, without the interference of the user thereby Enhancing Product Quality and Customer Service.

Alcohol driving is the leading cause drunk. The input for the system ni the form of detection of alcohol in vhicle, the alcohol sensor si attached to the controller. The alcohol sensor will be near the driver from where ti can detect the presence of alcohol by analyzing the breath of the driver. If any trace of alcohol is found above the set limit, the system displays alcohol detection note on LCD screen and gives an emergency siren and also stops the engine and also permits an alert to the owner on his mobile phone in form of SMS as well as it will share location of the vehicle.