Athena Security
Athena Security uses advanced concealed weapons detection systems to deliver a unified, AI-driven entryway solution for hospitals, K–12 schools, casinos, places of worship, government buildings, and commercial facilities across the U.S. The Apollo 500 enables seamless walk-through screening to detect weapons in real time, giving operators more actionable data points than traditional systems for faster, more confident decisions. Athena’s AI-powered X-ray leverages iPad technology to modernize screening and improve threat detection.
Athena’s Hospital Visitor Management System integrates with EPIC to connect identity, access, and screening data. Innovations include the Ambulance Bay WDS for stretcher screening and secondary screening for bags and lower extremities to reduce human error. Designed with compliance in mind, Athena aligns with California AB 2975, which mandates weapons detection screening at key hospital entrances by 2027 to improve safety and reduce workplace violence.
DHS-aligned workflows ensure testing, controls, and compliance, while telepresence and AR alert glasses provide real-time support. All systems connect in one platform for centralized monitoring and enterprise reporting.
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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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Better Airport
Better Airport is a cloud-based SaaS solution aimed at consolidating planning, analysis, and operational tasks within airports, effectively bridging the gaps between previously isolated functions like check-in, baggage handling, security, gate assignments, and immigration processes. Centered on the principle of “Connected Operations,” this platform serves as a comprehensive resource for operational forecasting, optimizing resources, and facilitating timely decision-making by integrating data across passenger, baggage, and aircraft movements. It features a modular structure that includes nine essential modules, enabling airports to implement them gradually (such as forecasting, check-in, security, virtual queuing, and stand & gate management) and expand their capabilities as necessary. Furthermore, by seamlessly connecting with current systems, including AODB and other operational back-ends, it empowers airports of various scales to enhance their efficiency and leverage data-driven insights to minimize wait times, optimize staff and equipment deployment, and significantly improve the overall passenger experience from the moment they arrive to the time they board their flight. This innovative approach not only streamlines operations but also fosters a more responsive environment for both airport staff and travelers alike.
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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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