The 2019 coronavirus illness (COVID-19) has had an adverse effect on human life. People’s way of life had to change as a result of the fictional pandemic. In many nations, scientists have developed a vaccine, but the sole protection for in-person interactions is a face mask. Learn how to easily use an Object Recognition API for mask detection!
Deep neural networks have been used in object detection technology to accurately identify the people wearing masks, and it’s not as simple as it sounds. The facial recognition system is a technology that was specially developed to identify a person or confirm their identity even when they are in the middle of a crowd.
Numerous details are recorded using sensors that capture the rooster, including the distance between the eyebrows, the size of the nose, the shape of the eyes, and the contour of the lips. Depending on the complexity of the software, object detection algorithms analyze these data in a matter of seconds, producing bidimensional or three-dimensional biometric images that make up each person’s facial print. Of course, there aren’t two identical bells.
However, since the Covid-19 pandemic, the algorithms behind facial recognition have run against a challenge: recognizing faces covered with masks. This is a challenge for which they were undoubtedly unprepared.
Although it is true that this technology has very wide-ranging markings for identifying people, nothing could have predicted that, over time, users would start to conceal up to 50% of their face as their hair, beards, hats and sunglasses frames grew. For this reason, the companies in the field have started a frenetic pace to expand their data bases and subject their algorithms to accelerated biometric updating cycles.
Fortunately, in the era of technology, advances are produced in sufficient time to meet social demand and even more so in the post-pandemic context with all the efforts to adapt to all the changes that it has generated at a global level.
To save you time and effort, we want to tell you about one of the best APIs on the market for object recognition and image classification. Learn more about this API named Clapicks and forget about easy mask detection.
Benefits of using Clapicks include the ability to manage a huge number of images effectively and the automatic classification of images into predetermined categories.
This API Can Be Used in Just Four Easy Steps.
- First create a Clapicks account. Following that, you will receive an API key that you must use each time you interact with the API. This one is made up of a particular combination of numbers and letters.
- After that, you must approve your API key before making any API queries. This process is quick and simple. You may quickly validate your API key by supplying your bearer token in the authorization header.
- Enter the URL of the image you wish to classify after finishing the aforementioned steps.
- Call the API at last, then wait a short while for the results.
All in all, that’s all there is to it; in a few seconds Clapicks will reply with an accurate and useful classification of the data. It’s important to remember that item recognition performance increases when the image’s confidence score, which runs from 0 to 1, comes closer to 1. Please keep in mind that you can also name-identify specific items in photos using the label method of this API.
If you want to understand more about the potential of this API, we also advise you to visit Clapicks‘ website and review its documentation.