3deye
3deye is a pure cloud video surveillance and AI video analytics platform that transforms existing cameras, NVRs, IoT, drones, and body-worn devices into intelligent video sensors without on-site servers or hardware by centralizing live and recorded video in a web-based system, supporting multi-site, multi-brand deployments, and eliminating bridges or gateways; it includes an admin portal, video portal, alarm monitoring portal, billing module, and native iOS/Android apps, all built on AWS for high uptime, cybersecure streaming, and scalability. Its AI analytics offer on-demand object detection, classification, and tracking with metadata, heat maps, people counting, color and area search, behavior and loitering detection, automatic license plate recognition, face recognition, hard hat and safety vest detection, and fire and smoke detection to reduce false alarms, accelerate incident search, and drive real-time alerts.
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Senstar
With intelligent video management, video analytics, access control and innovative perimeter intrusion detection systems, Senstar offers a comprehensive suite of proven, integrated technologies. A modular solution for security management and data intelligence, as well as an open, highly scalable video management system with built-in video analytics, it includes full-featured access control and perimeter intrusion detection modules. Senstar’s product portfolio is the industry’s best. By selling what we manufacture, Senstar can service, customize and adjust for any project. Where multiple layers of security are needed, Senstar products can work together for complete facility-level solutions.
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intuVision VA
intuVision VA offers an all-in-one, server side video analytics solution to meet a wide range of requirements, with application modules in security, retail, parking, traffic, manufacturing, and face & text detection. intuVision VA is fully integrated with popular video management systems (VMS) to add intelligence to your VMS, to analyze video and generate alerts or collect object and event data.
Running on Windows or Linux, intuVision VA ingests and analyzes either live or archived video from your VMS to detect events or count objects. Upon detection, events are sent to your VMS, all event data can also be reviewed within intuVision dashboards to generate reports and email notifications.
Our comprehensive application modules and flexible licensing provide access to all events of interest in any domain. For example, going beyond counting customers in a retail store with queue management, dwell time reporting, and object taken alerts.
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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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