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Note: The Policy managed apps with OS sharing value is applicable to MDM enrolled devices only. Policy managed apps with OS sharing: Only allow data transfer to other policy managed apps, as well as file transfers to other MDM managed apps on enrolled devices.Transferred data is encrypted by Intune and unreadable by unmanaged apps. Note: Users may be able to transfer content via Open-in or Share extensions to unmanaged apps on unenrolled devices or enrolled devices that allow sharing to unmanaged apps. Policy managed apps: Allow transfer only to other policy-managed apps.If the user performs a managed open-in function and transfers a document, the data will be encrypted and unreadable. None: Do not allow data transfer to any app, including other policy-managed apps.The receiving app will have the ability to read and edit the data. Specify what apps can receive data from this app: Select Allow to allow this app to back up of work or school data to iTunes and iCloud. Select Block to prevent this app from backing up work or school data to iTunes and iCloud. Data protection Data Transfer Settingīackup Org data to iTunes and iCloud backups Use Microsoft Edge for your protected Intune browser experience. Our work's core objective is to provide them with tools to safely and efficiently serve their communities.The Intune Managed Browser has been retired. The authors add: "A lot of healthcare workers and security personnel had to put their health at risk to serve the public during the COVID-19 pandemic. The robot also uses a thermal camera that can detect people with potential fevers, aiding contact-tracing efforts, while also incorporating measures to ensure privacy protection and de-identification.įurther research is needed to validate and refine this method, such as by exploring how the presence of robots impacts people’s behavior in crowds. Their robot was able to detect and address most of the breaches that occurred, and CCTV enhanced its performance. The researchers tested their method by having volunteers act out social-distancing breach scenarios while standing still, walking, or moving erratically.
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This system employs a machine-learning method known as Deep Reinforcement Learning and Frozone, an algorithm previously developed by several of the same researchers to help robots navigate crowds. The robot uses a novel system to sort people who have breached social distancing rules into different groups, prioritize them according to whether they are standing still or moving, and then navigate to them. Once it reaches the breach, the robot encourages people to move apart via text that appears on a mounted display. The robot can detect breaches and navigate to them using its own Red Green Blue-Depth (RGB-D) camera and 2-D LiDAR (Light Detection and Ranging) sensor, and can tap into an existing CCTV system, if available. Now, Sathyamoorthy and colleagues have developed a novel way to use an autonomous mobile robot for this purpose.
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However, many such approaches require participation from individuals or existing infrastructure, so robots have emerged as a potential tool for addressing social distancing in crowds. Technology-based methods-such as strategies using WiFi and Bluetooth-hold promise to help detect and discourage lapses in social distancing. Previous research has shown that staying at least two meters apart from others can reduce the spread of COVID-19. Adarsh Jagan Sathyamoorthy of the University of Maryland, College Park, and colleagues present these findings in the open-access journal PLOS ONE on December 1, 2021. view moreĬredit: Sathyamoorthy et al., 2021, PLOS ONE, CC-BY 4.0 ()Ī new strategy to reduce the spread of COVID-19 employs a mobile robot that detects people in crowds who are not observing social-distancing rules, navigates to them, and encourages them to move apart. The CS-robot also captures thermal images of the scene and transmits them to appropriate security/healthcare personnel. The robot encourages the non-compliant pedestrians to move apart and maintain at least 2 meters of social distance by displaying a message on the mounted screen. Image: The robot is detecting non-compliance to social distancing norms, classifying non-compliant pedestrians into groups and autonomously navigating to the static group with the most people in it (a group with 3 people in this scenario).