Face Mask Detection
On 31st December 2k19 in Wuhan, China the first case of corona virus disease (COVID) was reported, it has spread in all over the world as eagle in the sky, so in this paper we came up to introduce a hardware based face mask detection as at that time the demand of mask has raised to wear to minimize
Project Title
Face Mask Detection
Project Area of Specialization
Project Summary
On 31st December 2k19 in Wuhan, China the first case of corona virus disease (COVID) was reported, it has spread in all over the world as eagle in the sky, so in this paper we came up to introduce a hardware based face mask detection as at that time the demand of mask has raised to wear to minimize the COVID cases. Pandemic seemed weak in 50% areas and 50% areas was in unstable situation and some of areas are still follow the rules for healthy and safe life. Face mask detection technique decrease the ratio of spreading. This system basically focus on the safety, the main motto of this technique is to stop the person who is mask less and open the tunnel for those who are with mask.
Project Objectives
Objective of the project is that to keep people safe from pandemic infection and wearing mask is necessary otherwise you will not eligible to go to your place
Project Implementation Method
Face mask detection is a smart technique that is used to keep people in mask if one can wear the mask during pandemic, will safe from disease when the social distancing is hard to maintain or in public places. This system can be used in different places such as industries, institutions, banks, hospitals or any place where huge amount of mass work and difficult to control the environment management
Benefits of the Project
The face mask detection is the technique that can be applied everywhere, because it confirms whether a person is wearing mask or not and recently it is something that is highly in demand and this demand motivate the developers to make such type of projects, if they are already discovered then improve their features by implementing your own mind.
Technical Details of Final Deliverable
The project uses ESP32-CAM, green LED, red LED, IR sensor,CH340G, Arduino, UNO and other different tools each has different work. ESP32-CAM uploads the code, for uploading CH340G is used. Arduino UNO sends signal to the ESP32-CAM to run the code. Sensor is used to determine whether the person is with mask or mask less.
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| ESP32-CAM | Equipment | 2 | 3200 | 6400 |
| Ir sensor | Equipment | 1 | 10000 | 10000 |
| CH340G | Equipment | 1 | 1000 | 1000 |
| Arduino, UNO | Equipment | 1 | 3000 | 3000 |
| Total in (Rs) | 20400 |
If you need this project, please contact me on contact@adikhanofficial.com
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