Athena Security
Athena Security is a leading physical security technology company dedicated to a single, life-saving mission: to help save lives by automating the detection of concealed threats before they cause harm. Based in Austin, Texas and San Francisco CA. The company was founded by the veteran technology team behind Revel Systems—Michael Green, Lisa Falzone, and Chris Ciabarra—who transitioned their expertise in high-speed, cloud-based retail systems into the critical field of public safety.
Our Mission & Philosophy
Athena’s core philosophy is that "security is a shared responsibility." We believe that human security officers are most effective when they are supported by intelligent automation. By digitizing the screening process, we eliminate human fatigue and ensure that every individual who enters a facility is screened according to DHS Best Practices and federal safety standards.
The "Apple iPad is Simple" Advantage
We believe that life-saving technology should be powerful on the inside but simple on the outside. Athena Security utilizes Apple iPads as the primary user interface for all of our products. This "iPad-First" approach provides: Intuitive Operation: Minimal training is required for security staff; if you can use a smartphone, you can operate Athena.
Athena provides a unified platform where hardware and AI software work in tandem to create a "frictionless" security perimeter:
Apollo 500 Weapons Detection: A high-throughput walk-through system that screens up to 3,600 people per hour for firearms and explosives without requiring them to stop or empty their pockets.
AI-Assisted X-Ray Software: An intelligent layer for baggage scanners that automatically identifies weapons, 3D-printed gun parts, and drone components, featuring an Automatic Belt Stop.
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Kognition
Kognition provides advanced AI-driven security technology that offers continuous, vigilant force multiplication at a fraction of the expense of conventional security solutions. Integrating seamlessly with existing systems, we empower organizations to actively detect threats (like weapon displays and crowd formation) and notify your security team about the presence of restricted individuals and VIPs. Kognition lowers IT expenditures and reduces the need for extra security personnel while enhancing incident response efficiency and delivering thorough security reporting and visibility for K-12+, commercial real estate, regulated sectors, and beyond.
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Kipod
We safeguard countless individuals in urban areas by equipping security experts with advanced AI technology and structured communication platforms. Kipod facilitates immediate searches through extensive databases of CCTV footage and provides real-time crime alerts, employing cutting-edge machine learning techniques. It utilizes facial recognition for isolation tracking and activates immediate alerts when overcrowding occurs in public venues amidst the coronavirus (COVID-19) pandemic and other health threats. Users can identify a person of interest simply by uploading a photograph, receiving swift information regarding the locations and times where the individual was last seen. The system allows filtering searches based on various attributes such as age, race, gender, and eyewear. Results are promptly validated against comprehensive criminal records to ensure accuracy. The cloud-based architecture of Kipod ensures a secure, robust, and seamless deployment across an unlimited number of cameras, catering to countless users. It also enables the management of shared resources among thousands of users from various organizations while providing precise control over access to video data, search capabilities, and databases of individuals and vehicles. This innovative approach significantly enhances public safety measures in cities, creating a safer environment for all residents.
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Google Cloud Vision AI
Harness the power of AutoML Vision or leverage pre-trained Vision API models to extract meaningful insights from images stored in the cloud or at the network's edge, allowing for emotion detection, text interpretation, and much more. Google Cloud presents two advanced computer vision solutions that utilize machine learning to provide top-notch prediction accuracy for image analysis. You can streamline the creation of bespoke machine learning models by simply uploading your images, using AutoML Vision's intuitive graphical interface to train these models, and fine-tuning them for optimal performance in terms of accuracy, latency, and size. Once perfected, these models can be seamlessly exported for use in cloud applications or on various edge devices. Additionally, Google Cloud’s Vision API grants access to robust pre-trained machine learning models via REST and RPC APIs. You can easily assign labels to images, categorize them into millions of pre-existing classifications, identify objects and faces, interpret both printed and handwritten text, and enhance your image catalog with rich metadata for deeper insights. This combination of tools not only simplifies the image analysis process but also empowers businesses to make data-driven decisions more effectively.
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