Face masks are now mandatory in the whole territory of Lombardia Area in the north of Italy and in many other areas worldwide. In an effort to contain the Covid-19 Coronavirus spread that has caused thousands of deaths, the local governments are insisting that millions of residents must wear protective face covering when they go out in public.
A funny consequence to covering their faces it’s the face masks trip up facial recognition functions, the technology necessary for many routine transactions in many country worldwide. Despite how much the face recognition is diffused a lot of experience such as certain mobile phones, entertainment apps and bank accounts won’t unlock anymore.
In January 2020, a Chinese company says it has developed the country’s first facial recognition technology that can identify people wearing a mask, as most are these days because of the #COVID19, and help in the fight against the disease.
The recognition rate can reach about 95%, which can ensure a quite good performance, the success rate for people without mask is estimated in 99.5%.
This Beijing-based firm used core technology developed over the past 10 years, a sample database of about a few million unmasked faces and a much smaller database of masked faces. It’s easy to argue how the new dataset has been inferred using a pretty easy to understand data augmentation technique: face with facial points, pick a random mask up, let’s project the mask according to the facial points = a (billion of) brand new masked faces.
In the same days someone teaches Iphone how to recognize his face wearing a mask. More: https://www.independent.co.uk/life-style/gadgets-and-tech/iphone-face-mask-id-recognition-unlock-coronavirus-covid-19-hack-a9459901.html
Most of the standard model in literature exploit information basically from eyes, mouth and face shape. And now? We starting figuring out how the face detection step should be modified / improved in order to handle with the missing information (occluded mouth and nose). So we developed the first LBP cascade, suitable for OpenCV, able to detect faces with masks. The cascade is totally free for academic, pro-bono or healthcare projects.
Masked faces LBP HAAR HOG OpenCV cascade
Full frontal (with partial profiles) masked face detection cascade, trained with:
- ~7,000 positive samples (randomly sampled)
- approx 0.9B of negative sub-regions containing outdoor and indoor samples (30%-70%)
- Training size w=40 h=50 (aspect ratio 0.8)
LBP: it’s free for academic, pro-bono or healthcare projects. Send us an email here to get the link for the cascade!
- Features set: 106080 features
- Training time: ~2 days
- TP: ~ 95.01% of positive training set
- FN: ~ 04.99% of positive training set
- FP: ~ 5.4e-006% of negative training set
HOG: (upon request)
HAAR: (upon request)
Hello,
I am Daniel from CETUC/PUC-RIO. I have already published in linkedin about ArgoVision and Vision-Ary, received the NDA and sent it back signed, but have not received the LBP cascades yet.
I think my response may have been filtered by some spam filter or lost in a lot of messages.
If necessary I can send again the signed document. Thank you.
Hello Daniel
we already sent the cascade last week, anyway we sent it again yesterday. Let us know if everything is ok!
Bye,
Vision-ary
We would love to get a sample of the haar cascade for a pro Bono project we are doing for Scottish rite children’s!
Sent it!
Hello, I am a final year student in the Department of Computer Science and Engineering at Khulna University of Engineering &Technology, Bangladesh.
For my academic thesis, I am doing research on the people traveling to the office by wearing masks during COVID-19. I am trying to develop a similar model. For a benchmark comparison of my developed model, I needed a reference model. The model, MASKED FACES LBP HAAR HOG OPENCV CASCADE is a perfect model for benchmark comparison.
I had sent a response message earlier about the model request. But, I think my message has been filtered thus commenting on the website. Kindly please help me out.
Thanks.
Regards
Shadmaan Hye
Hello, for my academic thesis, I am doing research on the people traveling to the office by wearing masks during COVID-19. I am trying to develop a similar model. For a benchmark comparison of my developed model, I needed a reference model. The model, MASKED FACES LBP HAAR HOG OPENCV CASCADE is a perfect model for benchmark comparison.
I had sent a response message earlier about the model request. But, I think my message has been filtered thus commenting on the website. Kindly please help me out.
Thanks.
Regards
Shadmaan Hye
Hello,
check your email!
Bye!
This great effort and helpful.
Can you please provide link the haar for test. my email is mitul.dmg@gmail.com
Thank you.
Sent you an email 🙂
Dear Team Vision ary,
we want to try this haar for our research for covid screening using webcam and thermal camera, again we greatly appreciate your work.
Thank you.
Hello,
send to us an email, we will provide you the instruction to download it
Regards 🙂
Hello,
Great work! Is it possible to have the haar to test it out?
Thanks
Hello,
send to us an email, we will provide you the instruction to download it
Regards 🙂
reached out a few times and no response 🙁 this would greatly help us in our research !
Check your email (spam folder included) 😉
Can you please provide link the haar for test.
my email is p14406@naver.com
Thank you.
Hello!
Please, use the contact form to require the cascade 🙂
Can you please provide link the haar for test.
Mail sent!
Hi!
I am a student of an IT course in Italy.
For the final test I’m making an Android App wich recognise face from android’s camera smartphone.
I have already achieve my goal to recognise faces and eyes, but now, with COVID-19 it will be great to recognise persons with mask.
So I found your new Cascade and I will be very thankfully if you can send it to me.
Many thanks in advance.
Eric.
Mail sent!
Hello,
I need the haar_cascade for my masters graduation project in art school. Can you send it to me too? Thank you so much!
Florian D.
I tried it a few time too already, but i am not sure if my the contact form was working. Can i also get your sample to use it in my master graduations project?
best wishes,
Florian
Hello I’m student from Asia Pacific University. I would like to try out the cascade in development of FYP. Can u email me the cascade?
Yep! Send an email to our contact form 🙂
Hello im a university student currently developing face mask detection system can u pls send me the cascade to tryout, ty very much.
Hello can I get the link for cascde?
Yep! Send an email to our contact form 🙂
Hi, could you please share with me this Haar as it would be of great benefit for my research project. Thank You.
Yep! Send an email to our contact form 🙂
Hi, I am doing a research project on Facial Recognition and this would help massively! Could you please email me the link to download this Cascade, Thank you.
Keep in touch by email!