Traditional video surveillance systems require manual review of hours of footage to find specific events, making them inefficient and time-consuming. When incidents occur, users often need to sift through extensive video recordings to understand what happened, which is both frustrating and impractical.
Users often need to manually review hours of surveillance footage to find specific events, which is time-consuming and inefficient. This was the exact challenge faced when someone stole something in front of a family member's house.
Netra AI transforms video monitoring with instant event querying and real-time alerts. Users can ask natural language questions about events and receive immediate, detailed responses.