• Dr.S.Krishnaveni
• P.Ambika

Global pandemic COVID-19 situations emerged in a plague of dangerous disorder in all around the global. Wearing a face mask will assist prevent the spread of infection and save youthe man or woman from contracting any airborne infectious germs. Using Face Mask Detection System, you possibly can screen if the people are sporting mask or now not. Here HAAR-CASACADE set of rules is used for photo detection. Collating with other present algorithms, this classifier produces a high recognition price regardless of various expressions, efficient characteristic choice and low collection of false positive capabilities. HAAR feature-primarily based cascade classifier system makes use of only 200 capabilities out of 6000 capabilities to yield a popularity fee of 85-95%. According to this motivation we demand masks detection as a unique and public fitness service gadget for the duration of the worldwide pandemic COVID-19 epidemic. The model is skilled by using face masks picture and non-face masks image.

voila and jones , haar-cascade ,bounding box

"ANALYSE THE LOCATION OF CAPTURED IMAGE USING BOUNDINGBOX ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.364-369, June-2022, Available :http://www.jetir.org/papers/JETIRFN06060.pdf

"ANALYSE THE LOCATION OF CAPTURED IMAGE USING BOUNDINGBOX ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp364-369, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06060.pdf