A PHP Error was encountered

Severity: 8192

Message: Return type of CI_Session_files_driver::open($save_path, $name) should either be compatible with SessionHandlerInterface::open(string $path, string $name): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice

Filename: drivers/Session_files_driver.php

Line Number: 132

Backtrace:

File: /home1/qamaszy1/public_html/surensinfotek.com/application/controllers/Front_Controller.php
Line: 8
Function: __construct

File: /home1/qamaszy1/public_html/surensinfotek.com/application/controllers/Blog.php
Line: 10
Function: __construct

File: /home1/qamaszy1/public_html/surensinfotek.com/index.php
Line: 319
Function: require_once

A PHP Error was encountered

Severity: 8192

Message: Return type of CI_Session_files_driver::read($session_id) should either be compatible with SessionHandlerInterface::read(string $id): string|false, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice

Filename: drivers/Session_files_driver.php

Line Number: 164

Backtrace:

File: /home1/qamaszy1/public_html/surensinfotek.com/application/controllers/Front_Controller.php
Line: 8
Function: __construct

File: /home1/qamaszy1/public_html/surensinfotek.com/application/controllers/Blog.php
Line: 10
Function: __construct

File: /home1/qamaszy1/public_html/surensinfotek.com/index.php
Line: 319
Function: require_once

A PHP Error was encountered

Severity: 8192

Message: Return type of CI_Session_files_driver::write($session_id, $session_data) should either be compatible with SessionHandlerInterface::write(string $id, string $data): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice

Filename: drivers/Session_files_driver.php

Line Number: 233

Backtrace:

File: /home1/qamaszy1/public_html/surensinfotek.com/application/controllers/Front_Controller.php
Line: 8
Function: __construct

File: /home1/qamaszy1/public_html/surensinfotek.com/application/controllers/Blog.php
Line: 10
Function: __construct

File: /home1/qamaszy1/public_html/surensinfotek.com/index.php
Line: 319
Function: require_once

A PHP Error was encountered

Severity: 8192

Message: Return type of CI_Session_files_driver::gc($maxlifetime) should either be compatible with SessionHandlerInterface::gc(int $max_lifetime): int|false, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice

Filename: drivers/Session_files_driver.php

Line Number: 354

Backtrace:

File: /home1/qamaszy1/public_html/surensinfotek.com/application/controllers/Front_Controller.php
Line: 8
Function: __construct

File: /home1/qamaszy1/public_html/surensinfotek.com/application/controllers/Blog.php
Line: 10
Function: __construct

File: /home1/qamaszy1/public_html/surensinfotek.com/index.php
Line: 319
Function: require_once

Face Mask Detection Technology

AI & Deep Learning based face mask detection technology

Face Mask Detection System Using AI

A face mask is mandatory in many geographies, offices, Govt. agencies, stores/malls, public transportation, holy places, and in almost all the areas. Some of the governments already made it a rule and imposed fines.

- It is the responsibility of owners/ department heads to make sure that people are wearing masks in public places, if not take the appropriate actions.

a) Monitoring every person in a crowd and ask him to wear a mask is a difficult task
b) At the same time identifying and analyzing how many people are wearing a mask, in how much time, in which location the violation is happening is a very challenging task for naked eyes
c) Identifying people pretending that they are wearing masks
d) It is also difficult to deal with violators without proofs

What is sentiment analysis where is it used ?

Artificial intelligence provides a solution to all the challenges, Face mask identification software helps in identifying the persons

- Who are partially or fully not wearing the masks

- Where and how much time they are without a mask

- Advise them on their local language

- Identify the violators

Face Mask Detection at security

Two-phase COVID-19 face mask detector

To a face mask detector make working, need to break into two distinct phases, each with its respective sub-steps (as shown by Figure below):

Training: Here it's focused on loading the face mask detection dataset from disk, training a model on this dataset, and then serializing the face mask detector to disk
Deployment: Once the face mask detector is loaded, then the next thing is loading the mask detector, performing face detection, and then classifying each face as with_mask or without_mask

Implementing our COVID-19 face mask detector

- Face Mask Detection system uses Artificial Network to recognize if a person captured on camera is wearing a mask or not. This technology can be integrated into any existing or new IP cameras to detect people without a mask. If the camera captures a face without any mask, a notification can be sent out to the administrator. This solution works irrespective of Gender, Age, Close view, longer view, Front or Side views, sitting or standing positions, different types of masks, etc., this solution can be integrated with existing solutions like CCTV, access management, Drones, etc.

In the present situation of Covid19 wearing a face mask is an essential precaution to be taken.
Using an AI network, the system can recognize whether a person is wearing a mask or not.
A face mask detection system can be used in public areas where there is a chance of people gathering in groups.
The AI-based system identifies whether a person is wearing a face mask or not and indicates it with a message pop-up

- Deploying the face mask detecting technology embedded into devices could reduce the cost of manufacturing such face mask detection systems, hence why we choose to use this architecture.

What is predictive analytics in data science where is it used ?

Use Cases of Mask Detection Technology

Hospitals - Utilizing Face Mask Detection System, Hospitals can monitor & advise if any visitor or staff is wearing masks during their shift or not. If any health worker is found without a mask, they will receive a notification with a reminder to wear a mask, and visitors will be advised to wear a mask. Also, if quarantine people who are required to wear a mask, the system can keep an eye and detect if the mask is present or not and send notification automatically or report to the authorities.

Offices - The Face Mask Detection System can also be utilized at office premises to detect if employees are keeping safety standards at work. It monitors through all the employees & staff without masks and sends them a warning to wear a mask. Also, the reports can be downloaded or sent an email at the end of the day to capture people who are not complying with the regulations or the requirements.

Airports - The Face Mask Detection System can be implemented at airports integrated with the security cameras to detect travelers without masks. Face data of travelers can be captured in the system at the entrance. If a traveler is found to be without a face mask, their picture is sent to the airport authorities so that they could take quick action. If the person’s face is already stored, like the face of an Airport worker, it can send the alert to the worker’s phone directly.

Detecting Face Mask at Security