Face Recognition Device
CHALLENGES
- The team faced the task of implementing face recognition with limited hardware performance.
- Another challenge was to pick up an appropriate cluster to implement a face recognition project.
- Recognition speed and overall performance were important in order to accurately calculate time without accumulating errors.
- Responsiveness and resistance to high loads.
- Multiple face recognition support.
- An important task was to determine the currently launched applications and, accordingly, to log the time that the user spends in an application.
KEY FEATURES
- Registration of a new user (user management).
- User confirmation / merging recognition results.
- WiFi access to the dashboard.
- Report generation.
- Possibility to extend desktop applications.
APPROACH
Embrox decided to split the project into separate sub-projects, among them: back-end, front-end, the desktop listener. The Team has created a platform, which works on desktop PC (with the usage of regular USB camera) as well as on limited Linux platforms (for instance, raspberry PI). Also, the system was designed to work asynchronously, so it computes captured images in the background.
RESULTS
We have managed to create a highly responsive social-network-like app which provides its users with a completely new experience and works flawlessly both on Android and IOS.
This solution demonstrated that it is stable and can be used as an automatic logging system.
What our team says?
about project
What our team says?
about project
Yaroslav
Backend Software Developer
target audience
It is a highly useful device while working remotely. Companies need it in order to monitor the work of employees. A crucial detail is that each employee must consent to the usage of this device.
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