Detection of dangerous objects

To ensure security at airports, schools, crowded places, industrial facilities and homes, it is important to recognize the threat in time. In emergency situations, people can not always respond quickly. Loss of time leads to increased damage and casualties


Security, law enforcement and first responders

Neural networks can be used to detect weapons and fire. They can quickly and accurately analyze large amounts of data, making it easy to identify potential threats in real time. By training neural networks based on images and other data, the system can learn to recognize the characteristics of hazardous objects and alert them to their presence, helping to prevent potential harm.


Examples of using

Fire detection

Weapon detection