Development of Contactless Employee Management System with Mask Detection and Body Temperature Measurement using TensorFlow
Product Description
Objective
Aim of the project is to build a smart employee management system which should be contactless, able to perform mask detection, body temperature detection and contain sanitizer dispensing unit.
Abstract
CoVID-19 pandemic signified the importance of social distancing and non-contact routines. Even after the pandemic, everyone should abide by the same protocols for a hygienic life. Institutions must put in place pre-emptive measures before people return. These include marking the presence of employees and monitoring their health status. This paper focuses on developing a contactless employee management system with sensor fusion and deep learning technology. It can perform the attendance routine without compromising the safety measures. Employees can be identified using random QR code recognition which can avoid the mask removal to perform employee recognition. While recognizing the QR, system will double verify the employee by detecting the MAC address of is mobile Bluetooth at backend. It can eliminate fake attendance system. After employee identification system will perform mask detection process. To detect the mask, system uses the pre-trained deep learning model. That deep learning model is generated by CNN algorithm which can classify “Face with mask” and “Face with No mask”. After successful completion of mask detection, system checks the employee body temperature by IR temperature sensor followed by sanitizer dispensing action. Response for the whole process will be updated to employee’s mobile application as well as Employee Management Authority (EMA).
Proposed System
Proposed system uses two factor employee authentication processes to ensure the security and to eliminate the fake attendance system. That is Random QR code recognition followed by employee’s mobile Bluetooth MAC id verification. MAC id verification is done at back end without knowledge of employee. For Temperature measurement system uses the IR thermal sensor. Employee can get the process result in android application. If the safety (Mask and temperature detection) or security (Employee verification) measures are not matched system will intimate to Employee Management Authority through mail.
When you order from finalyearprojects.in, you will receive a confirmation email. Once your order is shipped, you will be emailed the tracking information for your order's shipment. You can choose your preferred shipping method on the Order Information page during the checkout process.
The total time it takes to receive your order is shown below:
The total delivery time is calculated from the time your order is placed until the time it is delivered to you. Total delivery time is broken down into processing time and shipping time.
Processing time: The time it takes to prepare your item(s) to ship from our warehouse. This includes preparing your items, performing quality checks, and packing for shipment.
Shipping time: The time for your item(s) to tarvel from our warehouse to your destination.
Shipping from your local warehouse is significantly faster. Some charges may apply.
In addition, the transit time depends on where you're located and where your package comes from. If you want to know more information, please contact the customer service. We will settle your problem as soon as possible. Enjoy shopping!
Download Abstract
Click the below button to download the abstract.
Package Includes
Software Projects Includes
- Demo Video
- Abstract
- Base paper
- Full Project PPT
- UML Diagrams
- SRS
- Source Code
- Screen Shots
- Software Links
- Reference Papers
- Full Project Documentation
- Online support
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
Hardware Projects Includes
- Demo Video
- Abstract
- Base paper
- Full Project PPT
- Datasheets
- Circuit Diagrams
- Source Code
- Screen Shots & Photos
- Software Links
- Reference Papers
- Lit survey
- Full Project Documentation
- Online support
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
- SRS
- Source Code
- Screen Shots
- Software Links
- Reference Papers
- Full Project Documentation
- Online support
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.