This year’s global health crisis created new ways of living and operating in society. As governments and businesses around the globe quickly worked to protect their citizens and workers, while also trying to maintain efficiency, an increase in AIoT use cases emerged. In this blog we look at three specific ways AIoT can help create non-contact environments to help reduce the spread of infectious diseases in what is hopefully the post-pandemic era.
Smart Robots: Sanitizing and Transport
One of the most widely used robots during the pandemic were disinfection robots. Brain Corp’s robots were cleaning grocery store floors to help reduce potential contact with the virus among employees. According to Forbes, Brain Corp’s Brain-OS powered robots use a cloud-connected operating system with AI software for commercial autonomous robots. AMP also deployed robots to help sift through recyclable materials to reduce the risk of workers contracting the virus through touching and sorting contaminated bottles, food containers and boxes.
Disinfecting robots and transport robots can also be put to work in hospitals. Also known as smart medical robots, transport robots move materials on behalf of medical staff while disinfecting robots use AI to automatically identify hospital surfaces that need treatment, and based on their environment, determine the best routes to take. Some hospitals deployed autonomous mobile robots using UV light to help disinfect patient rooms and operating theaters in hospitals.
Smart Cities: Monitoring Crowd Levels
Using AI can also help control points, traffic hubs and with the edge, can also help quickly compute and take action. In an effort to create social distancing and also give people a breath of fresh air as needed, in Singapore, NParks developed a real-time map that visitors could use to monitor crowd levels in different areas of public parks and reserves. AIoT can help citizens socially distance, as well as help with transportation logistics and other areas of city management. Heterogeneous computing platforms can also help cities harness the power of AI workloads needed for smart cities projects.
Smart Factory: Remote Machine Monitoring
Another area where AIoT can help is in on the factory floor. Oftentimes, when it comes to machinery, factory employees and machine engineers are required to regularly, manually inspect and repair machinery to reduce production downtime. During the pandemic, many manufacturers were deemed essential and had to battle production with risking employee health. AIoT can help factory personnel remotely monitor machinery, helping to reduce risk of exposure. Everything from vibration, speed, temperature, pressure and other machine health data can be immediately analyzed and acted upon at the edge, on the actual machine, while relevant personnel monitor and control remotely, without having to step foot in the factory.
Towards a Smarter Future
Major historical events often trigger major changes. While the difficulty of these times will eventually pass, our way of life will continue to change. Thankfully, technological advances in AI and IoT can help us build a smarter future.