Apr 19 2018
Please give an overview of Sensing Feeling.
We are imagining a world where you can survey 100% of your customers all of the time and in a way that does not actually interfere with them that allows them to go around about their everyday business without having somebody mug them and say, "excuse me can you spare five minutes?"
What are you showing at the IoT Tech Expo today?
We produce a small unit that you can put on the wall. It has a small camera built in that surveys the scene and basically under real world scenarios of lighting, scale, people waving coffee cups in front of their face we still reliably are able to identify that there are faces there and we extract the emotions. We could, for instance, tell you how many people are happy and enjoying the experience that you are providing. We do all of the processing inside of the sensor, we are very conscious about the customers privacy especially in the wake of all the recent hoo-ha with people like Facebook. We do all of the video processing inside of the sensor, we do not transmit any video to the cloud, we do not hold any video.
We basically just transmit there are five people in your scene, three of them look really happy, good job. That takes it back to the cloud in real-time but that means we can pass that information back to the retail space for instance, or an exhibition space on the inward site so that they can make corrective actions. It is only reasonable they enjoy in the experiences. Or they can look at the trends, if they want to compare them you do A B testing with the spaces. They can do all of those kinds of things as well.
Other than retail, are there any other applications of your sensor?
We are increasingly dealing with machines throughout our working day. Every building that we walk into these days there is a machine. It is identifying the people in it so from the day you walk into your office and scan your ID card to get in through the front door, the building knows whose in it. It has sensors now turning the lights on and off as people walk around, turning the heating up and down. We have machines now like Siri and Alexa responding to our voices, but all of these things have got semantic intelligence none of them got emotional intelligence. Siri gives you the same answer whether you ask reasonably or whether you shout at it. If you imagine that in any kind of environment where you are dealing with a machine. A vital component of that machine decision making is going to be your emotional response as well.
If we think future, every service could have this kind of thing in. In between there we will transition to things like kiosks. Thinking of different industry sectors, we started retail, but education. How many people are engaged in an education setting? Think about health, how are people responding to treatments? Or even just within the waiting room, are people showing extreme levels of anxiety? If I want to try and analyze crowd, what is the mood of a crowd? At which point does somebody become agitated? Maybe we start looking for other types of emotions!
Why are you at IoT Tech today? Who are you hoping to speak to?
We are an early stage company, and we are really just coming out of our R&D phase so we are looking for companies to work with us on proof of concepts applications. An ideal person for us to meet today would be somebody from a large organization's technology division. But wider than that, we are really just here to get the message out and raise the level of awareness of what we can do with these kinds of things and what the future might hold.
Find Sensing Feelings at stand 327 at the IoT Tech Expo 2018.
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