Edge Computer Vision
Analysts expect by 2020, 99% of enterprise-captured video/image will be analyzed by machines
The Atos Edge Computer Vision is a complete environment running on BullSequana Edge and dedicated to deliver computer vision capabilities. It provides advanced feature extraction (person, faces, emotion, behavior), feature sharing and classification, automatic actions based on feature analytics, real-time and post-event actions or post event analytics. A powerful search function accelerates the search of a specific person from multiple criteria. It enables a large set of intelligent cameras to collaborate holistically in real-time, enabling operations to be tracked without interruption.
The Edge Computer Vision relies on the exceptional hardware acceleration for machine learning applications supported by Bullsequana Edge.
Thanks to its highly customizable architecture, Edge Computer Vision can be easily utilized in many various use cases such as homeland security, the tracking of vehicles, the crowd movements, the detection of abandoned objects, or to analyze a population density or expression and improve the quality of service in shopping or advertising.
Edge Data Analytics
Atos Edge Data Analytics enables organizations to improve their IoT business models with predictive and prescriptive solutions. It is a complete environment dedicated to real-time streaming analytics and running on BullSequana Edge. It uses edge datalake capabilities to make data trustworthy and useable and to ensure data quality, security and privacy.
Edge Data Container
Atos Edge Data Container is an all-in-one solution, serving as a decentralized IT system, running at the edge. It is a secure, highly standardized, industrial solution. It can run autonomously in non-data center environments with no need for a white room or local IT teams to operate.
It can be customized for various purposes. It includes UPS, air conditioning, storage and security capabilities and can embed Atos Edge Computer Vision, Atos Edge Real-time Analysis applications and other implemented production applications.
Related resources
Datasheet
The exponential growth of intelligent sensors and devices is generating an unprecedent amount
of data. This is reshaping IT architectures, as increasingly powerful processing and machine
learning inference capabilities are required at the Edge of the networks to enable next generation,
transformative AI and IoT applications. BullSequana Edge has been designed to meet these
challenges, delivering powerful AI inference and streaming analytics capabilities while ensuring
that all data remains safe and secure.
Positioning paper
Edge computing is an important element of the post-cloud era, extending rather than replacing the
cloud. It allows data to be processed rapidly at the edge, close to where devices are generating it.
The decentralized and distributed nature of edge computing avoids unnecessary network
transmission to the cloud and enables the near real-time actuation of connected things.
