The organization seeks information regarding AI-driven video analytics software capable of detecting weapons and potential threats through its existing closed-circuit television camera network. The software should identify brandished firearms and potential threats in real-time, send immediate alerts to security personnel, and assist in investigations.

Respondents are requested to address features such as event history and archiving, including methods for storing and retrieving data, supported export formats, encryption practices for data storage and access, and options for dual authentication during mutual-aid scenarios. The solution should be capable of processing video streams directly from the video management system (VMS), support multiple streams per camera lens, and deliver object recognition and behavioral analytics to detect pre-incident and abnormal campus behaviors.

Additional requirements include audio detection capabilities (if audio is provided), notification methods such as desktop client, mobile app, SMS, and email, alert latency information, and the ability to automate actions like locking doors or triggering mass notifications via third-party systems.