Thought Leaders in Internet of Things: Guillermo Diaz, CEO of Kloudspot (Part 2)

Sramana Mitra: You are helping manage acceptable levels of social distancing by tracking people’s movements and actions within the office?

Guillermo Diaz: Yes. Within the office, we are able to look at social distancing and the population demographics. We can determine how many people are in a location and how many are supposed to be in there. We are also looking at automatic mass detection of the appropriate PPE or masks.

If you came into our office and you weren’t wearing a mask, we can detect that through our facial recognition and IA to be able to say, “We like your smile, but please wear your masks.” If they don’t wear their masks, then the gate will not open for them. There are a lot of things that we are looking at there. 

Sramana Mitra: Let’s look at the technology aspect of it. There is clearly a camera aspect to it. Where is the camera that is picking up all these signals?

Guillermo Diaz: The cameras could be in various parts of the building. For us, a camera is a sensor. There might be one or two cameras at the entrance of the building depending on how you want to configure it. The camera is a sensor. At the same time, the WiFi network access point, VLE beacon, and RFID tagging are sensors.

For example, we pull all the data around a person named Guillermo. We see him come in and access the badge that he used. We are triangulating all of that data in real-time to then say, “Okay, here is Guillermo. He is legitimate for this building. He is following the guidelines.” Now that he is here in the building, we could track his movement and social distancing. We can look at heat maps of congregated areas. It’s cameras, Wi-Fi, VLE, plus other sensors that we are pulling the data from to drive the contextualization and the predictions. 

Sramana Mitra: How do you figure out that it is Guillermo? Is it a face recognition technology?

Guillermo Diaz: That might be one aspect to it. In a work environment, they most likely have a badge. That badge, in our case, would have some sort of Bluetooth or RFID chip. We triangulate on that. They might also have a phone. I have multiple ways to triangulate that data. That is where we are pulling that in real-time. We connect that back to an identity management system to say, “Here is Guillermo. He is legitimate. He can come in. We have looked at his face. That is the same face that we know.” 

Sramana Mitra: Is the movement tracking happening through GPS?

Guillermo Diaz: We can pull in that data but, in our case, GPS will work for a specific location. Let’s say 1285 Oakmead Parkway, Sunnyvale. I know that Guillermo is at 1285, but I don’t know exactly what floor he is on. GPS is another sensor. 

Sramana Mitra: How do you manage the social distancing aspect? That is my actual question and not so much the GPS aspect.

Guillermo Diaz: Again, what we are doing is triangulating. There might be cameras in various parts of the building. The way we think about it is almost like WiFi. If you think about a WiFi signal, at the very top is the broadest spectrum which is WiFi. This is between 5 meters of coverage. You then get down to Bluetooth which starts to give you much better coverage. You get down to a camera that is much more precise.

I am pulling all the sensor data from each of those to triangulate to say, “The rule is 6 feet.” When I see two people coming together at 6 feet, I can display that on the screen or send a signal to say that they are getting too close. It’s much more than the camera. I am pulling WiFi, Bluetooth, and camera data to triangulate where precisely this person is. You will start to see red dots around people when they get too close. 

This segment is part 2 in the series : Thought Leaders in Internet of Things: Guillermo Diaz, CEO of Kloudspot
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