Safety Precaution Robot For Corona

Artificial Intelligence, Machine Learning and Robotics have gained a lot of momentum in the market. These three major fields combine to form the world's most intelligent. robots. For our project, SPRC would utilize the software "chatbot" to increase human interaction. SPRC

2025-06-28 16:29:00 - Adil Khan

Project Title

Safety Precaution Robot For Corona

Project Area of Specialization RoboticsProject Summary

Artificial Intelligence, Machine Learning and Robotics have gained a lot of momentum in the market. These three major fields combine to form the world's most intelligent. robots. For our project, SPRC would utilize the software "chatbot" to increase human interaction. SPRC would guide people about the basic SOPs after checking the body temperature. It would also provide masks to people without masks and sanitize each and every individual who passes through.

The first step to detect covid is by scanning for fever. Also we need to monitor every person for a mask. We have temperature checking systems for every entrances for scanning but manual temperature scanning has a lot of disadvantages.

To solve this problem, we here propose SPRC a fully automated temperature scanner and entry provider system. It is a multi purpose system that has a wide range of applications. The system makes use of a contactless temperature scanner and a mask monitor. The scanner is connected directly with a human barrier to bar entry if high temperature or no mask is detected.

Any person will not be provided entry without having normal temperature and mask scan. Only person having both conditions is instantly allowed to go inside. The system uses temperature sensor and camera connected with a raspberry pi system to control the entire operation.

The camera is used to scan for mask and temperature sensor for forehead temperature. The raspberry processes the sensor inputs and decides whether the person is to be allowed. If a person is flagged by system for high temperature or no Mask the system glows the red light and bars the person from entry. Also the face and temperature of person is transmitted over IOT to server for authorities to take action and test the person for covid.

Thus the system provides a 100% automated system to prevent the spread of COVID.

Project Objectives Project Implementation Method

The system uses temperature sensor and camera connected with a raspberry pi system to control the entire operation.

The camera is used to scan for mask and temperature sensor for forehead temperature. The raspberry processes the sensor inputs and decides whether the person is to be allowed. If a person is flagged by system for high temperature or no Mask the system glows the red light and bars the person from entry. Also the face and temperature of person is transmitted over IOT to server for authorities to take action and test the person for covid.

Benefits of the Project

The first step to detect covid is by scanning for fever. Also we need to monitor every person for a mask. We have temperature checking systems for every entrances for scanning but manual temperature scanning has a lot of disadvantages.

To solve this problem, we here propose SPRC a fully automated temperature scanner and entry provider system. It is a multi purpose system that has a wide range of applications. The system makes use of a contactless temperature scanner and a mask monitor. The scanner is connected directly with a human barrier to bar entry if high temperature or no mask is detected.

Any person will not be provided entry without having normal temperature and mask scan. Only person having both conditions is instantly allowed to go inside.

Thus the system provides a 100% automated system to prevent the spread of COVID.

Technical Details of Final Deliverable

1- We connect MLX 90614 with arduino to detect the temperature .

2- We use arduino to print Questions on LCD .

3- We connect 20*4 LCD with arduino for displaying temperature and Questions .

4- We Connect Camera with Raspberry PI for mask detection.

5- We implement Logic On Raspberry pi for Dispensing Mask.

6- We Implement Machine Learning Algorithm on Raspberry Pi.

7- We Train Dataset on Raspberry PI.

8- We Train AI Module on Raspberry PI.

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther IndustriesCore Technology RoboticsOther Technologies Artificial Intelligence(AI), Internet of Things (IoT)Sustainable Development Goals Good Health and Well-Being for People, Industry, Innovation and InfrastructureRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 69940
Raspberry Pi 4 8gb Equipment13400034000
Raspberry Pi Cables Equipment110001000
Raspberry Pi Camera Equipment150005000
Raspberry Pi Touch Screen 7 Equipment172007200
MLX 90614 Sensor Equipment120002000
LCD 20*4 Equipment1800800
l2c Equipment1130130
Arduino UNO Equipment111001100
Buttons Equipment11010
Mask Despenser Equipment1700700
Body Equipment11800018000

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