MSU Police and Public Safety for Weapon Detection Software (RFI #908050)

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Title:  

MSU Police and Public Safety for Weapon Detection Software (RFI #908050)

Agency:  

Michigan State University (MSU)

State:  

Michigan

NAICS Code:  

541512

Industry:  

Information Technology and Software Development

Solicitation Type:  

Request for Information

Solicitation ID:  

#908050

Open Date:  

11/10/2025

Questions Due Date:  

11/26/2025

Close Date:  

12/4/2025

Last Updated:  

Description:
Michigan State University (MSU) is seeking information about Weapon Detection Software that can integrate with their current cameras and the Genetec platform. The university is looking for a system that can accurately identify weapons, minimize false alarms, and provide reliable long-range operation. The system should also be able to integrate with existing systems, including standard Internet Protocol (IP) cameras and the Genetec Video Management System (VMS). Some key features and requirements of the system include: • Accuracy in identifying weapons • Minimizing false alarms • Reliable long-range operation • Integration with existing systems • Deployment and infrastructure considerations • Threat assessment capabilities MSU is asking respondents to provide information about their company, experience, and capabilities, as well as a price estimate for the system.
Attached Files:

Please visit the bid source via the “Link to Bid Source” button below for documentation.

Contact Information:

Brad Hewitt(Procurement)

hewittb3@msu.edu

(517) 884-6171

Budget Estimate (AI):

$100,000 – $500,000

The budget for this opportunity is difficult to estimate, as the document does not provide a clear indication of the budget for the project. However, based on the scope of the project, which includes the implementation of a weapon detection software system, it is likely that the budget will be in the range of $100,000 to $500,000. This estimate is based on the assumption that the system will require significant customization and integration with existing systems, as well as ongoing maintenance and support. Factors that may influence the likely payment range include the complexity of the system, the number of cameras and locations that need to be integrated, and the level of support and maintenance required.

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