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Description
The use of Acoustic and Infrared validation ensures ZERO false alerts during critical moments when every second matters. By processing all gunshot data within the sensor and eliminating the need for human involvement, the likelihood of errors and subsequent delays is significantly minimized. Alerts are generated in under one second, accompanied by precise shot detection locations to facilitate prompt and informed responses. Additionally, a detailed floor plan map of the facility provides audible and visual information regarding the location of shots. Recipients receive instant notifications via SMS and email, ensuring they are promptly informed. The system can be flush mounted into wallboard or ceiling tiles, or placed in a surface mount box suitable for concrete and brick structures, with options available for color matching. Proudly manufactured in the U.S.A., the device undergoes rigorous testing and adheres to strict quality control standards. It features a built-in self-test capability, regular heartbeat messages, and instant maintenance alerts, along with a patented handheld testing device for added convenience. Furthermore, it can simulate shots and trigger integrated responses during active shooter drills. The Guardian system not only detects gunfire but also conveys this critical information in real-time through a floor plan map, complete with shot locations and multiple notification methods like text and email, ensuring that everyone is kept in the loop. This comprehensive approach enhances safety and preparedness in emergency situations.
Description
The guidelines set forth by the Federal Bureau of Investigation and Automated Fingerprint Information Systems specify particular standards for mugshots and photographs of arrested individuals; however, compliance poses a challenge for some law enforcement agencies. Fortunately, thanks to advancements introduced by Hunter Systems Group, Inc. and Quantum Signal, LLC, law enforcement entities can now effortlessly meet these standards using the Hunter Smartshot® mug shot capture system. This innovative application skillfully manages critical elements such as lighting, background, and aspect ratio to ensure that every photograph is taken consistently. As a result, the likelihood of capturing inadmissible mugshots has been significantly reduced. Both victims and witnesses can now utilize standardized images, enhancing their ability to accurately identify suspects. This pioneering, comprehensive solution available on the market today includes not only a camera and mounting hardware but also essential software and an instructional guide for effective implementation. Additionally, this system represents a significant leap forward in standardizing the process for law enforcement agencies, making it easier than ever to uphold the integrity of photographic evidence.
API Access
Has API
API Access
Has API
Integrations
Axon Fusus
Titan HST
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Shooter Detection Systems
Country
United States
Website
shooterdetectionsystems.com/indoor-detection/
Vendor Details
Company Name
Hunter Systems Group
Website
www.huntersystemsgroup.com/hunter-smartshot.html
Product Features
Product Features
Law Enforcement
Case Management
Certification Management
Court Management
Court Management Integration
Crime Scene Management
Criminal Database
Dispatching
Evidence Management
Field Reporting
Incident Mapping
Internal Affairs Administration
Investigation Management
Scheduling
