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What is ZeroEyes?

ZeroEyes is a cutting-edge AI platform focused on weapon detection, allowing for the quick identification of potential threats. Founded by former Navy SEALs, our mission is to recognize weapons before any violence can occur, enabling first responders to act promptly and effectively to prevent mass shootings. By leveraging AI technology for weapon identification, we aim to detect dangers early, equipping emergency personnel with vital information that can save lives. Our collaboration with local 911 services and law enforcement agencies significantly boosts our capability to prevent dangerous situations from escalating. When ZeroEyes is operational, first responders receive instant updates, which empowers them to respond decisively when faced with threats. Designed to cater to varying needs, ZeroEyes easily integrates with existing security camera systems and infrastructure, enhancing overall safety measures. The devastating toll of random violence has claimed far too many lives, and at ZeroEyes, we are committed to assisting security professionals and law enforcement in their efforts. The quicker a potential threat is recognized, the sooner a response can begin, ultimately protecting communities and preserving lives. As we push the boundaries of innovation in this field, our dedication to improving public safety remains steadfast, ensuring a more secure environment for all. With each advancement, we strive to create a world where safety is prioritized and threats can be neutralized before they materialize.

What is SafePointe?

SafePointe, created by SoundThinking, is an innovative system powered by artificial intelligence that is specifically designed to identify hidden weapons in crowded areas. Each detection lane is equipped with two subtle metal bollards positioned 8–10 feet apart, utilizing state-of-the-art 3D cameras and an NVIDIA edge processor that operates a complex AI algorithm. As individuals walk through, the system utilizes magnetic moment technology to detect the digital signatures of magnetically conductive objects while analyzing motion data to determine direction, speed, and movement patterns. Should a potential threat arise, human analysts quickly examine the data within 10 seconds to filter out false alarms, such as those triggered by armed security personnel. If a legitimate threat is validated, the system immediately notifies the facility's security team through the SafePointe app, supplying images and short video clips that pinpoint the suspect's identity. This groundbreaking technology enables screening without the need for on-site personnel, greatly reducing operational expenses, and is safe for individuals with medical devices due to its non-invasive nature. Additionally, SafePointe presents a trustworthy method for bolstering security in a wide range of environments while prioritizing the safety of the public. Its capacity to adapt to various settings further underscores its versatility and effectiveness in contemporary security challenges.

Media

Media

Integrations Supported

Axon Fusus
Kognition

Integrations Supported

NVIDIA DRIVE
SafetySmart Platform
ShotSpotter

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

ZeroEyes

Date Founded

2016

Company Location

United States

Company Website

zeroeyes.com

Company Facts

Organization Name

SoundThinking

Date Founded

1996

Company Location

United States

Company Website

www.soundthinking.com/security/weapons-detection/

Categories and Features

Emergency Management

Not specified

Gun Detection

Not specified

Physical Security

Not specified

Public Safety

Not specified

Categories and Features

Gun Detection

Not specified

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