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Congratulations to our research colleagues at Polytechnique MontrĂ©al (LITIV) Jules Simon and Guillaume-Alexandre Bilodeau, for receiving the Springer Best Paper Award (2nd place) at the 17th International Conference on Image Analysis and Recognition (ICIAR 2020) for the paper “Color inference from semantic labeling for person search in video“; Jules Simon, Guillaume-Alexandre Bilodeau et al, developed in collaboration with Arcturus.

For more information on Edge Vision/AI Middleware refer to the product landing page, or contact Arcturus.

Press Contacts:
Arcturus Networks Inc.
media@arcturusnetworks.com
416.621.0125 x233


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White Paper: Vision and AI for Public Safety Applications

Introduction and Design Considerations

Our urban centers are being challenged to meet the new demands of physical distancing, crowd and capacity management, in addition to the traditional physical security needed to move people and commerce safely. Vision and AI systems will play a vital role in this paradigm. In this white paper I introduce key vision / AI concepts and how they relate to developing public safety and security solutions. Download white paper.

For more information on the Vision Middleware refer to the product landing page, or contact Arcturus.

Press Contacts:
Arcturus Networks Inc.
media@arcturusnetworks.com
416.621.0125 x233


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USING ARM® v8 AND ARCTURUS VISION AT THE EDGE (ARM BLOG)

Understanding what can be achieved using Arm v8, ArmNN and Arcturus Vision/AI Middleware

A recent blog post, developed in collaboration with Arm, helps illustrate the capabilities of edge vision/AI processing using the Arm v8 architecture and Arcturus Vision/AI Middleware. The blog post covers the performance achievable by leveraging the Arm v8 NEON® engine and utilizing the ArmNN® inference framework to accelerate the performance of a standard neural network detection model. Arcturus uses a complete vision detection pipeline to illustrate how it is possible to implement edge processing to detect a perpetrator stealing a delivery package from a house. The complete blog post and accompanying video demonstration can viewed at the Arm Blog.

For more information on the Vision Middleware refer to the product landing page, or contact Arcturus.

Press Contacts:
Arcturus Networks Inc.
media@arcturusnetworks.com
416.621.0125 x233


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FOR IMMEDIATE RELEASE

ARCTURUS VISION MIDDLEWARE FEATURED ON NXP BLOG

NXP’s Director of AI and Machine Learning Discusses What Can Be Achieved At the Edge Using NXP eIQTM ML Development Environment and Arcturus Vision Middleware

Arcturus Vision Middleware running on an NXP i.MX 8M Mini applications processor was the subject of a recent blog post by NXP’s Director of AI and Machine Learning Technologies, Markus Levy. Mr. Levy highlighted the performance that can be achieved using Arcturus Vision Middleware on an edge-based system and the performance efficiencies that can achieved using NXP eIQTM ML Development Environment. Arcturus utilized the eIQ development environment to accelerate inference on the NXP processor by taking advantage of ArmNN. The complete post can viewed at the NXP Blog.

For more information on the Vision Middleware refer to the product landing page, or contact Arcturus.

Press Contacts:
Arcturus Networks Inc.
media@arcturusnetworks.com
416.621.0125 x233


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