Face Mask Detection API
Face Mask Detection API - Maskerizer (also known as face mask recognition API) is a cross browsers REST API which get a JSON input with a still photo
(as base64 encoded string) or an url of the image and returns
a JSON string which contains predictions with certain amount of probability (filtered for output with minimum 50%), bounding boxes of
detected face mask(s) put on human faces in a correct way covering both the nose and the mouth with its top, left, width, height values and, if required, for each prediction, a boundingBoxPhoto as base64 encoded string of the detected face mask.
Also it outputs a base64 encoded string photo which is the original input photo with drawned bounding boxes upon it. For one still photo the API may return multiple predictions with different probability scores of detected face masks put on. Our pricing packages count the predictions, so for one request, multiple predictions may be counted. We filter the results of predictions so we display only the predictions with a probability score higher than 50%. Of course, there are some limitations in order to get a higher accuracy. We recommend properly exposed, unobstructed JPEG photos at 1920x1080 (full HD resolution) where ratio between height of
bounding box and height of entire picture should be at least 1:15. For ratios like 1:16, 1:17, 1:18 and so on the accuracy is lower and the AI algorithm may not see the face massk and
the prediction score will be low. We do not store pictures. Also, the quality and the angles of the camera are very important and it contribute to a higher detecting accuracy.
It should have varifocal lenses, high shutter speed, good infrared lighting beam, full HD resolution.
Allthough this Face Mask Detection API (currently we do not offer a face mask recognition sdk) is intended for software development and therefore developers, we have also here an
face mask detection online application that may be used to check the input and output JSONs of the API.
The necessary steps are written below, basically for this real time face mask detection or recognition API you send an authorized POST request
in JSON format to the API endpoint and you get as JSON response the output as described below through parameters and examples.
This Face Mask Recognition API is useful for a large number of domains like: checking private entrances in restaurants, malls, close spaces, airports, bus stations, railway stations etc.You own the commercial copyright of the resulted JSON with no additional fee meaning you may use it in your own apps for sale. For using our face mask recognition API and/or APP you must create an account (free of charge, no card required), activate it from your received email, login and then start your TRIAL package with no fees as you can see at our pricing packages.
After you have tested the API and/or APP and you are satisfied, you may buy a paid package. You will always see at your Admin Console page the real resources
consumption in real time, your invoices, you may see/edit/delete your profile or export log consents as GDPR instructed, you may read our FAQs.
Maskerizer Online Video Presentation
Face Mask Detection API, Maskerizer is in the video presentation below.
There are several search terms which you may use like: face mask detection api, face mask recognition api, surgical mask detection,
surgical mask recognition.
Please choose one of the below pricing packages for start using our Face Mak Detection API and online APP!
Yearly TIER
(15% Discount)
Note: VAT rate may be added or not, function to your country and/or if you are a taxable person or company.
* Prediction - on the input photo may exist many predictions, each of it with certain amount of probability of detected face mask put on. Even we filter the output predictions to those with probability score greater than 50%, for the input photo all predictions are counted.