Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Xovis
Xovis offers a comprehensive suite of solutions designed to optimize people flow across various environments. Their technology integrates 3D sensors and software to provide real-time data on movement patterns, enabling efficient management of spaces such as airports, retail stores, transportation hubs, and smart buildings. In airports, Xovis' Passenger Flow Management System (PFMS) accurately tracks passengers' journeys from curb to gate, providing key performance indicators like waiting times and passenger volumes. This data helps airport operators monitor queues, identify bottlenecks, and enhance the passenger experience. For retail applications, Xovis' solutions offer insights into customer behavior by analyzing flow and dwell times, allowing retailers to optimize store layouts and improve customer journeys. The system can also detect group formations and exclude staff from customer counts to ensure data accuracy.
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SafeCount
Designed for accuracy and fast implementation, a SafeCount system helps businesses comply with social distancing and occupancy guidelines by anonymously counting people as they enter and exit your building. Suitable for buildings of all sizes, even those with multiple entrances and exits, a SafeCount solution delivers live occupancy data with visual warnings and alerts when limits are approached or exceeded. SafeCount works independently of existing IT networks and is designed for simple setup and fast installation. Can be self-installed. No complicated setup or configuration. Unrivaled person detection accuracy in excess of 99%. Accuracy is important. Anonymous sensing technology. Does NOT use cameras to detect people. Works independently of existing IT networks. Scale with SafeCount Plus. SafeCount can be used to monitor occupancy of entire buildings, individual rooms or anything in between.
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EagleEye
EagleEye is a real-time cloud threat-detection and monitoring solution that continuously oversees an organization’s cloud infrastructure, identifies suspicious events, and triggers automated response workflows. It uses serverless technologies (for example, within AWS Lambda, Amazon EventBridge, and Amazon SQS) to capture and process cloud-trail logs from services such as S3 or IAM, detect policy deviations or unauthorized changes, and then alert teams or invoke corrective actions. The platform works together with Cloudnosys’s broader cloud-security and compliance capabilities to provide visibility, governance, and remedial automation across cloud accounts. EagleEye supports continuous monitoring of cloud resource configurations, identity & access events, network and storage changes, and generates alerts that can be integrated with upstream tools such as Slack, email, or SOAR workflows for rapid incident response.
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