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).
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.
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.
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.
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.)