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AnyVision Visitor Analytics

Facial recognition technology can be used to visually track visitors in a public space (e.g., a retail store or mall) and build a detailed and integrated view of what they did, that can then be mined, for example, for retail optimization (store layout, use of digital signage, etc).

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Image Processing, Machine Learning, AI

AT&T Drones

The availability of powerful, inexpensive consumer drones has created a lot of excitement about commercial drone applications.

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Drones

Chick-fil-A

Fast food retailing can be improved by adding more sensors, analysis and automation into the retail store, but only if that can be done without creating complexity or availability issues for the store operator.

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Remote Operation

Cloud SLAM

Augmented Reality solutions often depend on a 3D model of the surroundings so they (1) can associate what the user is looking at with specific physical equipment (e.g., for diagnostic purposes) and (2) can generate an augmented image that can be accurately overlaid over the physical image the user sees.

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3D Modeling, Image Processing, AR

EdgeMesh

Modern websites have increasing complex pages. CDN technology only works when content has been recently loaded by another user which is diminishingly probable as content becomes more personalized.

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Low-latency, IoT

Gestalt Robotics

Industrial automation is transforming rapidly, building on progress in IoT (connection into the Internet), image processing, machine learning and artificial intelligence, and high-performance networking technology.

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Image Processing, Machine Learning, AI, Low-latency

IKEA Place

Retail is rapidly changing driven by the challenge of e-Commerce (Amazon). Traditional retail brings the advantage of an in-store experience with the ability to see and touch a subset of the available products.

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AR, Video Capture, Image Processing, High-bandwidth, Low-latency, IoT

Immersiv.io

Augmented Reality can be used to integrate dynamic statistics and other analytics into a professional sports viewing experience.

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AR, Video Processing, IoT, Data Analysis

Localized Weather Modeling

Weather prediction is limited by the “resolution” of the computational weather models (the granularity of the grid of points in the model).

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IoT, Computational Modeling

Niantic

Because of the phenomenal success of Niantic (Pokémon Go) there is growing interest in games that are played outdoors within the local context, necessarily often using cellular links to a cloud backend that provides the digital form of the local context, augmented with game content (e.g., tokens or prizes).

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AR, High-bandwidth, Low-latency

Nvidia NoTraffic

The same technology advances that enable safer and self-driving vehicles can be used to improve traffic control systems by dynamically analyzing local traffic flows with sophistical image analysis, and then co-optimizing operation with adjacent control systems.

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Image Processing, Machine Learning, AI

Rolls-Royce Engineering

Modern turbine engines are complex, but may require in-person maintenance in non-factory or service depot locations, creating a need for access to comprehensive engineering information and collaboration systems wherever the work is done.

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Global Deployment

Sainsbury's Checkout Experience

An essential part of any brick and mortar retail experience is how the customer finds items and pays for them.

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Video Capture, Image Processing, High-bandwidth, Low-latency, IoT

Schneider Electric Retail Inventory

Retail store inventory management — having the right products on the shelf — is a critical aspect of store efficacy and consumer satisfaction.

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Inventory Management, OnPrem Edge

ScoreAR Assembly

Complex products like airliners typically have bespoke (unique) designs for each plane manufactured, when you consider all of the options (seating plans, passenger entertainment systems, cabling, engine choices, instrumentation choices, etc.) so assembly and service of each plane is literally different.

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3D Modeling, Image Processing, Localization, AR

Sfara Safety Response

Driven in part by interest in self-driving vehicles, safety technology is advancing rapidly, coming first in new vehicles, often in the high-end product lines.

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Smartphone Sensors, Cloud, Machine Learning, AI, Low-latency

Smart Edge Image Inference

Microsoft introduced its “intelligent Edge” strategy with the focus being the use of machine learning and artificial intelligence of images: a large volume of training images would be processed in the Azure Cloud using ML/AI to produce a lightweight recognition (inference) neural net that could be deployed at the edge (in a modified drone or specialised camera that each could do image inference.)

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Drones, High-res Imaging, Machine Learning, AI

Trax/Nielsen Shelf Analytics

Having the right product on the shelf is a critical pillar in many retail strategies and tactics. That begins with knowing what is on the shelf.

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Image Processing, Product Identification, Brand Identification

Unmanned Life

Drones provide many new opportunities for on-demand video feeds (in this case for support of disaster response).

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Video Processing, GPS, High-bandwidth, Low-latency

Our goal with Seamster is to establish a community by sharing knowledge and insight to advance the adoption and proliferation of edge technologies. Your contributions matter greatly.

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