February 25, 2020
Look back to our past…
At this present, science and technology are important parts. People apply technology to most of the fields such as economy, finance, entertainment, tourism, services, transportation, education,…
Those are some examples, if we make small research for them, we will be surprised about the development of our planet.
We are living and working with Industry 4.0, which allows us to access many kinds of technologies. One of them is Face Detection, which is a computer technology that identifies the human faces. Artificial Intelligence and Machine Learning are used in it. Face Detection detects human faces from camera source.
The facial recognition process begins with an application for the camera, installed on any compatible device in communication with that camera. This application is then able to use computer vision and a deep neural network in order to find a prospective face within its stream.
When the subject falls into the camera’s scanning range, the system automatically determines the position of the face and implements algorithms to extract the data. In the process of moving, the object will help the system identify faces easily. All of the above processes take less than 2 seconds.
Having some conditions that may affect the accuracy of the method such as:
With over ten years in developing mobile applications, InApps can help you build your Face Recognition Application. If you any concerns, just drop us a message.
We have a strong team with good technical skills and good communication skill (80% can communicate in English).
Besides, our team willing to improve and not afraid of questions.
Furthermore, with cost efficiency, we can customize an application from your ideas.
We have developed world-beating apps for clients from the USA, Australia, Singapore, and Europe”. InApps has been trusted by clients with great ranking on:
• GoodFirms – Ranked 2st of “Top Software Development Companies in Vietnam 2020”
• Clutch – Ranked 3rd of “Top App Firms in Vietnam 2020”
Have a look our case study here: https://inapps.net/face-detection-application/
We will contact you soon.
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