Tech Update #5

Hello Everyone!
As the finish line is getting closer and closer and the adrenaline is pumping, we can’t wait to share our latest news and achievements with you. Let’s get started!

Work with the archive.

We have already mentioned the function of saving the video, but we have only finished working on it this month. Even if there is a lack of free space the system will continue to work stably, overwriting old material and giving priority to the last 24 hours of the video recording. We also updated the player with the archiving function and improved the user interface — we’re sure you’ll love it!

Express your opinion: we are thinking about implementing a new function that allows users to record a video only during the active moments (when there are any actions in the camera field). This will greatly optimize space management, but this option is not suitable for everyone. What do you think? Would you find this function useful?

Performance improvement.

Earlier we used third-party solutions to have an opportunity to work on the UI, but now we’ve switched to our own developments. This will allow our users to get better performance with less resources. For example, video playback function (HLS on Demand).

Time & Attendance.

There are new basic functions of Time & Attendance, and this feature also allows users to receive reports with repeated visits. To configure this new functionality, you hardly need to do anything — just set up the cameras. By comparison, with other similar solutions it is necessary to set up work shifts, work schedules for different groups of people, etc.

We also provide the real-time uploading of data from Faceter to any ready-made T & A systems. This can be very useful if some corporate clients currently use another system.

Recognition system update.

We continue to improve the algorithms of the recognition itself, primarily through the tracking of new technologies and approaches, testing and, if necessary, implementation. During this development session, the standout example of such work was the use of the Deep Wise Convolution layer in our latest version of the face detection network. The use of such layers in a neural network makes it possible to obtain a significant performance increase with minimal loss in quality of detection.

By the way, if you think that our work consists of sitting down behind the monitor, then you are mistaken! Developers of smart video surveillance systems have to overcome quite large distances at work. See for yourself:

Beta-test.

Finally, the time has come. We are pleased to announce that soon you to will be able to try out Faceter in the real world. We are finishing the final preparations, and very soon we will invite everyone who wants to participate in the beta testing of the full version of Faceter to be a part of this grand testing. You will need a suitable camera and a few minutes of free time to set up, and to learn about the start of the beta testing you will need to keep up to date with us on social media.

That’s all for today! See you again in a few weeks, as well as at the upcoming beta testing.

Yours,
Faceter Team