work time tracking

Of course, this employee presence tracking process can be organized on a PC, but using a Videoblazar would be cheaper and less costly to maintain. One device can cover 8 cameras (rooms), or 16 if it only tracks human figures. All systems are integrated into a unified statistics dashboard. 

The neural networks of the Videoblazer can analyze not only the presence of a person at the workplace, but also their active time by subtracting periods of complete absence from the detection statistics — making it suitable for manual labor employees.

Alternatively, it can perform facial recognition and track how long the face remains in front of a monitor. Additionally, it can optionally subtract time when the eyes are closed for extended periods.

In a similar way, the system can track the time vehicles remain in their designated spots, enabling automatic vehicle statistics without the need for manual entry or exit logging.

These are only the basic use cases. The Videoblazer’s logic framework enables the development of custom algorithms to evaluate operational efficiency. 

Beyond humans and vehicles, the neural network can be trained to detect any custom object, allowing you to monitor, for instance, how long a particular item stays on a retail shelf.