MSU Police and Public Safety for Weapon Detection Software

2026-11-03

After the initial submittals , respondents will present the capabilities of their specific software to the MSU Department of Police and Public Safety Staff . Specific expectation for the presentation include : 1 . Accuracy a . Accurately identifying a weapon when it is present . Leading systems often achieve high accuracy rates , such as 95 – 99 %, for clearly visible weapons . b . Minimizing false alarms when an object is not a weapon . c . Availability of visible confidence level shown for each alarm d . Reliable long - range operation , detecting weapons from a distance , dependent on camera resolution . 2 . Speed a . Low Latency - processing video almost instantaneously b . High frame rate - to avoid missing threats 3 . Robustness - perform reliably under challenging conditions a . Environmental resilience - various lighting conditions low - light , shadows and weather b . Visual Clutter - campus atmosphere heavy traffic at times 4 . Weapon recognition capability - The system should be able to identify a wide range of weapons , including handguns , rifles , shotguns , and knives . 5 . Integration with existing systems a . Camera compatibility : Working with standard Internet Protocol ( IP ) cameras of multiple manufacturers and Genetec ( VMS ). b . Multi - camera support : Monitoring and analyzing feeds from an entire network of cameras . 6 . Deployment and infrastructure : Implementation must consider the unique needs of the environment . a . Coverage planning : Ensuring security cameras cover all high - traffic and high - risk areas , like entry points , to eliminate blind spots . b . Edge and cloud processing : The system should be capable of both on - device ( edge ) and cloud - based analysis for rapid processing and complex scenario handling where possible . 7 . Threat assessment : Beyond simple detection , advanced systems analyze behavior and context to reduce false positives . This may include : a . Using contextual analysis to distinguish between harmless items and actual threats . b . Requiring human verification of alerts for complex or ambiguous scenarios

MITN

2026-05-14