AI CCTV RFI

The University of Notre Dame is seeking information regarding AI-driven video analytics software to detect weapons and potential threats. The goal is to leverage the existing CCTV camera network to identify brandished firearms and potential threats in real-time, providing immediate alerts to security personnel, and aiding investigations. The university is looking for a system that can perform detections by pulling streams directly from the VMS, has dual-authentication options, and can detect pre-incident behaviors. The system should also have a human-in-the-loop verification service and be able to search for a specific person across the entire camera network. • The system should be able to detect objects, behaviors, and audio. • The system should be able to provide alerts via desktop client, mobile app, SMS, and/or email. • The system should be scalable and able to be expanded from a few camera tests to a campus-wide deployment. • The system should have a purchasing model that describes the relationship with end customers or if integrators are required. • The system should have an implementation and procurement timeline that outlines what needs to be done by the university and what needs to be done by the supplier.