Different civilizations result from intelligence.

The arrival of embedded vision signifies a new era of machine vision that connects customers’ presence, gestures and identity to retailers’ databases and digital signage to optimize messaging and sales. How will we use this?

If there’s one thing we have learned about IoT in the past, it’s that the predictions of its size are not to be trusted.
Bsquare’s 2017 Annual IIoT Maturity Study reveals 86 percent of industrial organizations have adopted IoT but fewer than half are using advanced analytics and only a quarter have taken steps to automate the application of insights.
For workers in the food industry, it can be challenging to constantly control and monitor the freshness of food from the farm all the way to the grocery store. This is especially important for food that requires constant refrigeration, such as meat, fish, and dairy products.

IoT has opened the door to rapid innovation but wireless/RF devices come with their own set of test problems that can slow down a design if established practices aren’t coupled with new test technologies.

With powerful new connectors, Harting makes a case for more edge-based computing on the factory floor.

Every worker, tool, machine, and widget on your factory floor holds a wealth of information that improve your operations. What if you could set that data free?

Although connected devices and even robots have been around for years, they have struggled to transcend the typing, clicking, touching interface of the mobile and laptop world.

A combination of context awareness, machine learning and an optimized processing architecture makes advanced, low-latency voice analysis, processing and response possible on edge devices.


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