Face recognition is an application using Face Recognition technology based on Artificial Intelligence and Machine Learning. The Face Recognition application is a web-based application so it can be accessed simply by using a web browser such as Mozilla Firefox, Google Chrome, or Safari. This application can perform facial scanning using the built-in camera or webcam or IP-based camera.

Information captured during scanning includes: name, gender, estimated age, expression and date. This information will be displayed in real time on the dashboard page.

Face Recognition is suitable for industries that require Trolley POS. This will help engagement with customers because we already know customers more deeply. And we can also find out the customer's expression or mood. In this way, they will feel like they are priority customers. We have also developed this technology by combining the cashier application, namely Beone Trolley POS.

Selain untuk industri FnB, Face Recognition juga cocok digunakan untuk absensi. Informasi yang ditangkap pada saat pemindaian antara lain: nama, jenis kelamin, perkiraan umur, ekspresi, tanggal, dan waktu pemindaian saat absensi masuk (in) atau absensi keluar (out). Informasi – informasi ini akan ditampilkan secara real time pada halaman dashboard.

We have developed this application with the name Beone Attendance. The BeOne Attendance application is a web-based application so it can be accessed simply by using a web browser such as Mozilla Firefox, Google Chrome, or Safari. This application can perform facial scanning using the built-in camera or webcam or IP-based camera.

Furthermore, you can analyze expression information captured on camera when attendance is in or out and relate it to other information or benchmarks such as productivity. As a simple example, a person's happy expression or mood turns out to have an effect on increasing that person's productivity and conversely, a sad or angry mood decreases it.