We have developed a system with Artificial Intelligence and Machine Learning capable of autonomously controlling the access of people in a collective environment. The system is able to identify whether a person is using a face protection mask, correctly count the number of people in an environment and in each step autonomously performs the appropriate verbal guidance to the user.
The system also connects to the internet through the Esp 32 board that shares the sensors with the arduino, it sends the information to an application on the cell phone and informs in real time the number of people in the environment.The mobile application developed at MIT appInventor connects to Thingspeak and alerts the person responsible for the environment if the number of people in the place has exceeded the safety limit , these occurrences are also shared by the Pictoblox that proceeds autonomously orienting the user.
The system can be used in places such as schools, hospitals and commercial establishments, controlling people who wish to enter, guiding the use of the face mask, and preventing the number of people from exceeding a safety limit. With this system it will be possible to guide people in a fun way as to the need to use a face mask, avoid crowds in places open to the public and preventing sick people from entering the place, contributing to prevent the spread of the virus.
The system controls the entry of people by activating a barrier (mobile barrier) that can prevent people who are without a mask from entering the environment. The system counts people who are inside the environment and if the security limit is reached it will guide people to wait until someone leaves the place to allow more people to enter ……. ..
For Hardware it was used:
1 – A computer with a webcan.
2 – The arduino uno board for controlling the actuators and reading the sensors through the pictoblox
3 – An esp32 that shares the sensors with the Arduino board and sends the information to the internet (ThingSpeak), where they can be monitored through a cell phone application.
4 – Three Reflective Infrared Distance Sensor for detecting the presence of people and counting the number of people entering and leaving the environment.
6 – Servo motors for the gate drive mechanism that controls the entry and exit of people from the site.
7 – Ultrasonic sensor that detects the presence of the person’s hand in the temperature reader and activates the hand hygiene mechanism with gel alcohol.
9- 3D printed parts for making the mechanisms.
For software it was used:
2 – mobile application developed at MIT appInventor.
3 – Google’s Teachable Machine
4- Arduino IDE.
Project Seen From Above
ESP32 Board Sharing Sensors With Arduino And Os And Sending Information To The Cloud
System Recognizing No Face Mask Use
System Recognizing the Use of Facial Mask