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).
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.
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.
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.
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.
Sainsbury's Checkout Experience
An essential part of any brick and mortar retail experience is how the customer finds items and pays for them.
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.
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.