Automated Facemask Detection and Monitoring of Body Temperature using IoT Enabled Smart Door
Product Description
Aim:
The aim of the project is to develop a contactless automated system with IoT for employees to control door access with help of machine vision process and embedded system
Abstract:
The Face Mask Detection can be done using the YOLO algorithm to classify facial masks using a deep learning system. The system is trained by acquiring images and then annotating them. The YOLO model receives a picture as input. This object detector separates the data into a grid that analyses the characteristics of the target object..Anon-contact IR temperature sensor is used to monitor the individual's body temperature. To avoid false positives, the system will be strengthened by training it with a variety of cases. In these troubling times, a face mask, social distancing and regular sanitization for hands proved. Early symptom detection is of paramount importance, mainly in public places where the risks and possibilities of people coming in contact with another is the highest Once the system detects a mask, it measures the body temperature of the person. If the temperature is within the normal range, sanitization is done, and the person is permit through an IoT enabled smart door. However, if the system fails to detect a mask or the person's temperature falls out of the predefined range, a buzzer rings and the door remains closed.
Proposed System:
The proposed system aims to fulfill all the aspects and develop a system that makes the process of monitoring people with less tedious and more comprehensive. We train the system with a number of samples that helps it precisely detect if a person is wearing a face mask or not. The project uses MLX90614non-contact infrared temperature sensor which is efficient in measuring body temperature, The sensor can give accuracy in the body temperature range .it operates as a non-contact sensor thus reducing risk. Using RFID to detect the person identity and help the attendance marking with google sheet. All these features are embedded with a Maixdock and micro controller module with an additional feature of automated sanitizer and entry access to the person
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The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days
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The Delivery time for Hardware
projects is 7-8 working days.
Mini Projects: Software Includes
- Demo Video
- Abstract
- Base paper
- Full Project PPT
- UML Diagrams
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The
Delivery time for software Miniprojects is 2 -3 working days.
Mini Projects - Hardware includes
- Demo Video
- Abstract
- PPT
- Datasheets
- Circuit Diagrams
- Source Code
- Screen Shots & Photos
- Software Links
- Reference Papers
- Full Project Documentation
- Online
support
The Delivery time for Hardware Mini projects is 7-8 working days.