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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SMS Storetraffic
Smart, efficient, anonymous People Counters & Analytics to the real world.
Our solution allows for easy deployment, capture, analysis, and reporting of the number people who enter a physical place. Optionally, we can also capture and report occupancy in real time.
We assist Retailers, Universities, Casinos, Places of Worship, Office Buildings, and other industries in analyzing and taking action on their people traffic trends.
We offer a special package for retailers to measure performance on traffic, including conversion rate and service levels. Our direct integrations make it easy to combine POS data with staff data. The Retail Equation simulator lets users run simulations to improve sales. It can also be used as a learning tool to understand how traffic, staffing, conversion rates, and quality service relate.
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Betaface
We provide an array of ready-to-use components, such as face recognition SDKs, alongside tailored software development services and cloud-based web solutions, mainly concentrating on image and video analysis, as well as the recognition of faces and objects. Our innovative technology finds applications across various sectors, including video and image archiving, online advertising, entertainment initiatives, media production, surveillance, security software, and among software developers catering to both end users and businesses. The Betaface facial recognition suite encompasses a comprehensive set of complex functionalities ranging from basic face detection to advanced face recognition tasks such as identification, verification, and matching in both 1:1 and 1:N formats, in addition to biometric measurements and face analysis. It also includes tracking facial features in video, recognizing age, gender, ethnicity, and emotions, as well as identifying skin, hair, and clothing colors, analyzing hairstyles, and describing the shapes of facial features. Our advanced technology is a crucial asset for various industries, providing them with the tools necessary for effective image and video analysis.
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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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