Abstract: In today's generation, authentication is one of the biggest problems in our society. So, one of the most known techniques used for authentication is human face recognition. For example- nowadays we can unlock our phone using the face recognition feature. In the existing system, Our faculty members take attendance manually which is somewhat time-consuming and it is an ancient method . So, in our proposed system contains section wise students databases with face(image), id no, name,year,department,Mail id,contact no, home address with parents details etc. our Artificial Intelligence based attendance monitoring system will be capturing the faces of every student in a class during their entry of the respective class room and the attendance will be markedflf the parameters were true) and the result will be stored in the database automatically. Also our proposed system check during the face capturing whether they are weared masks properly or not while entering the door of the class and if they are not weared the mask properly the system wont mark i attendance , and it provides alert to respective authorities. Finally, temperature monitoring scanner are fixed in the door which will check the student current body temperature and update it in the database if it exceeds the threshold values the system will alert with an message. So here our primary goal is to help to faculty members as well as students to track the every movement and manage student's attendance also monitor the Wuhan virus security measures and it is connected to higher authority cabin(system). 1. Monitor the students attendance 2. To check whether the students used/weared the mask properly or not. If not intimation will go to class incharges/Year incharges/HoD/Principal via message etc. 3. Also it checks body Temperature monitor while entry 4. It avoids the community spread of Wuhan virus variants.
4. DESCRIPTION
la the existing system, Our faculty members take attendance manually which is
somewhat time-consuming and it is an ancient method . So, in our proposed system contains section wise students databases with face(image), id no, name,year,department,Mail id,contact no, home address with parents details etc. our Artificial Intelligence based attendance monitoring system will be capturing the faces of every student in a class during their entry of the respective class room and the attendance will be marked(If the parameters were true) and the result will be stored in the database automatically. Also our proposed system check during the face capturing whether they are weared masks properly or not while entering the door of the class and if they are not weared the mask properly the system wont mark
attendance , and it provides alert to respective authorities. Finally, temperature monitoring scanner are fixed in the door which will check the student current body temperature and update it in the database if it exceeds the threshold values the system will alert with an message. So here our primary goal is to help to faculty members as well as students to track the every movement and manage student's attendance also monitor the Wuhan virus security measures and it is connected to higher authority cabin(system).
5.CLAIMS:
We Claim the following
1) It is an contactless system
2) Our proposed method doesn't required any human intervention.
3) This proposed method provides security and safety.
4) We can easily track the student which they are not wearded the mask properly.
5) While entering in to the class our system will check the body temperature accordingly provide alert.
6) This system can be adopted in schools, colleges, offices etc.
7) It will display the current strength of the class and male, female count of the class time to time, using LED display which is fixed outside the class ,HoD cabin and principal room.
8) No need to check regularly.
9) Any time will get the status of the class.
10) Easy to implement and monitor and its Accurate method and we can generate individual/ consolidated report.
| # | Name | Date |
|---|---|---|
| 1 | 202241000927-Form-5_As Filed_07-01-2021.pdf | 2021-01-07 |
| 2 | 202241000927-Form-3_As Filed_07-01-2021.pdf | 2021-01-07 |
| 3 | 202241000927-Form-1_As Filed_07-01-2021.pdf | 2021-01-07 |
| 4 | 202241000927-Form 2(Title Page)Complete_07-01-2021.pdf | 2021-01-07 |
| 5 | 202241000927-Drawing_As Filed_07-01-2021.pdf | 2021-01-07 |
| 6 | 202241000927-Description Complete_As Filed_07-01-2021.pdf | 2021-01-07 |
| 7 | 202241000927-Correspondence_As Filed_07-01-2021.pdf | 2021-01-07 |
| 8 | 202241000927-Abstract_As Filed_07-01-2021.pdf | 2021-01-07 |
| 9 | 202241000927-Form9_Early Publication_13-01-2022.pdf | 2022-01-13 |
| 10 | 202241000927-Correspondence_13-01-2022.pdf | 2022-01-13 |