This is the technology team Penske uses to keep himself safe in the IndyCar Paddock.

The COVID-19 pandemic has changed the way many people interact with the world around them. And it had a big impact on the world of racing. In some series, fans are often forced to watch from home while they want to test everyone religiously in a “bubble” or report health problems according to the honor system. .. The situation was the same for IndyCar, but Team Penske has taken advantage of its relationship with sponsor Hitachi to make the paddock a little safer.

On Thursday, I had the opportunity to chat with Justin Bean, who is focused on marketing Hitachi Vantra’s smart space technology. Basically, smart space leverages video analytics and lidar to evaluate how people move through the space. As a result, as Bean pointed out, stadiums have been used very effectively to let people know where the shortest concession line is. It also helps to assess the best ways to design public spaces to ensure social distance.

Especially when it comes to Penske, Hitachi Vantara has provided the team with a heat scanning technique that can instantly identify someone’s temperature and confirm that they are not feverish, which is one of the many signs of COVID-19.

“It’s an infrared camera that can scan as people pass by, so it’s much faster and less invasive,” Bean said, comparing infrared camera technology to traditional methods of health authorities checking body temperature. Said. “It only takes a second or two to scan when someone passes by, and you may be wearing a hat, mask, or something of these kinds.”

Hitachi Vantara designed a portable temperature solution. Infrared cameras connected to the monitor are organized on wheeled carts that are monitored by socially distant health authorities. People can step in front of the camera and the monitor displays a color-shielded image of their face. The image will turn green if it is within the proper temperature range. Otherwise, those images will be red. A real-time pop-up will notify you that the temperature is rising, and the event’s health authorities will take the next step, whether to double-check the temperature or issue a quick response COVID-19 test. You can proceed.

And all that technology is covered with a certain level of AI technology. From Bean:

This is more than just an infrared camera. There is actually artificial intelligence behind the image. It examines multiple points on a person’s face and allows a more accurate estimate of what their body temperature is. It can then send a real-time alert when it detects an increase in body temperature, which is recorded in the system so you know the entrance or area where it was detected. You can then access your analytics software to see what happened when trends and incidents occurred. You can see if there was a secondary test, what happened in that secondary test, and from there.

Bean says this is a step forward, but it is still one step closer to preventing the spread of the virus. Multiple heat detection systems could be used to reduce person-to-person contact, track difficult numbers, for example, did many people at one entrance gate return warmly because they were standing directly in the sun? You can check if.

This technology is only implemented in IndyCar’s Team Penske, but given that team owner Roger Penske also owns the series and the Indianapolis Motor Speedway, he has a more comprehensive COVID-19. You may be able to team up with Hitachi Bantara for safety planning in the 2021 season.

In fact, Hitachi Vantara has introduced other technologies in response to the pandemic. There is a hand wash verification technology that uses smart video to ensure that a person has washed their hands at the right time and with the right consumables. There are 3D LIDAR cameras that can detect if social distance is occurring in a particular area. There are also PPE detection techniques that can identify whether a person is wearing a mask or gloves.

(I asked Bean if the technique could identify if someone was wearing PPE Correctly.. As we have seen, many people in motorsport paddock around the world seem to struggle with the concept of how to wear a mask. Bean said no, it’s not the current feature, but of the “yes” or “no” type, but future versions of the software can be adapted to detect nostrils and chin. .. )

No, the last few of these aren’t yet available in the IndyCar paddock, but the beans envision the future in which they exist. is It is available.

“In the context of racing … I think we’ll see more of this kind of data as we’ve overcome the first wave, but maybe the second wave will come,” he said. “Otherwise, there is a general safety requirement that at some point another pandemic will occur, there will be a flu season, and it will need to be installed in a crowded area. Therefore, having this type of data Will be essential to prevent further spread and magnitude of the impact and reduce the risk of these types of illness. “

But as it evolves beyond the simple ability to keep people safe, he also believes that racing can benefit from much of this technology. This is a great solution in the pit lane, and analysis of one-to-machine interactions can provide a detailed look at what the occupants can improve, or a way for the driver to better assist the occupants.

And there are consumer levels where beans seem to be particularly excited. If you’ve been to the race, you know that waiting for food and the bathroom can be a daunting task on a busy day. Lidar can provide a database of information for analyzing congestion on race days. For example, you can let them know where the shortest bathroom line is, or alert you before it’s traditionally one of the busiest times to get a concession. It also informs the truck how to properly manage the concession station.

However, I had to ask about identity security. A major criticism of AI is the fact that AI collects so much data that it can easily collect a database that identifies its characteristics. Beans quickly find that data and its access are tightly regulated within Hitachi Vantara.

With video, you can pixelate your footage so that your personal data isn’t visible, or you can colormap it so you can’t see who the person is. However, if a crime occurs in the area, people in the security room may need to use the footage as evidence. Within that system, they can access the live footage using a chip card and pin number, and the system tracks activity so you can see how that data is being used. It is auditable and you can see the compliance metrics there.

This is a very important part and can ensure privacy protection in addition to video. Today, that’s not the case in most places where you have a security camera. They only collect data, but we offer the market a solution to protect that privacy.

Therefore, security guards watching a video of what the store looks like can only see blue human-shaped chunks or pixelated blurs. However, this is an edited version of the “real” footage and is stored behind a security wall.

This is similar to lidar:

With lidar, the laser cannot confirm the human identification characteristics because it only collects 3D point cloud data. And no one is just sitting there looking at the LIDAR screen. There is an AI that analyzes movements and movements, and they need to be designed to collect the specific type of data they collect.

So Team Penske is working on just one of the early stages of what this software can do. But it suggests that the truck may have a cool future.

This is the technology team Penske uses to keep himself safe in the IndyCar Paddock.

Source link This is the technology team Penske uses to keep himself safe in the IndyCar Paddock.

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