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The GuardianShield Suite^TM

ShieldSwarm is an advanced set of robotics, of various form-factors, which work in collaboration to gather and process sensor data in the fastest, most accurate manner. This data collection allows our machine learning model(s) to analyze and process this data. The model(s) are able to create annotations from their analysis which are used to take further action and/or to augment the captured environment data.

The environment data and subsequent annotations are used to generate a 3D world which can be viewed in ShieldVision. The 3D world can be overlayed in a pass-through mode (MR/AR) or visualized and traversed in its entirety (VR) for post-event analysis.

ShieldSwarm^TM

ShieldSwarm is an advanced set of robotics, of various form-factors, which work in collaboration to gather and process sensor data in the fastest, most accurate manner. This data collection allows our machine learning model(s) to analyze and process this data. The model(s) are able to create annotations from their analysis which are used to take further action and/or to augment the captured environment data.

The environment data and subsequent annotations are used to generate a 3D world which can be viewed in ShieldVision. The 3D world can be overlayed in a pass-through mode (MR/AR) or visualized and traversed in its entirety (VR) for post-event analysis.

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InfraShield^TM

ShieldSwarm is an advanced set of robotics, of various form-factors, which work in collaboration to gather and process sensor data in the fastest, most accurate manner. This data collection allows our machine learning model(s) to analyze and process this data. The model(s) are able to create annotations from their analysis which are used to take further action and/or to augment the captured environment data.

The environment data and subsequent annotations are used to generate a 3D world which can be viewed in ShieldVision. The 3D world can be overlayed in a pass-through mode (MR/AR) or visualized and traversed in its entirety (VR) for post-event analysis.

RescueShield^TM

ShieldSwarm is an advanced set of robotics, of various form-factors, which work in collaboration to gather and process sensor data in the fastest, most accurate manner. This data collection allows our machine learning model(s) to analyze and process this data. The model(s) are able to create annotations from their analysis which are used to take further action and/or to augment the captured environment data.

The environment data and subsequent annotations are used to generate a 3D world which can be viewed in ShieldVision. The 3D world can be overlayed in a pass-through mode (MR/AR) or visualized and traversed in its entirety (VR) for post-event analysis.

InspectionShield^TM

ShieldSwarm is an advanced set of robotics, of various form-factors, which work in collaboration to gather and process sensor data in the fastest, most accurate manner. This data collection allows our machine learning model(s) to analyze and process this data. The model(s) are able to create annotations from their analysis which are used to take further action and/or to augment the captured environment data.

The environment data and subsequent annotations are used to generate a 3D world which can be viewed in ShieldVision. The 3D world can be overlayed in a pass-through mode (MR/AR) or visualized and traversed in its entirety (VR) for post-event analysis.

SafetyShield^TM

ShieldSwarm is an advanced set of robotics, of various form-factors, which work in collaboration to gather and process sensor data in the fastest, most accurate manner. This data collection allows our machine learning model(s) to analyze and process this data. The model(s) are able to create annotations from their analysis which are used to take further action and/or to augment the captured environment data.

The environment data and subsequent annotations are used to generate a 3D world which can be viewed in ShieldVision. The 3D world can be overlayed in a pass-through mode (MR/AR) or visualized and traversed in its entirety (VR) for post-event analysis.

ResourceShield^TM

ShieldSwarm is an advanced set of robotics, of various form-factors, which work in collaboration to gather and process sensor data in the fastest, most accurate manner. This data collection allows our machine learning model(s) to analyze and process this data. The model(s) are able to create annotations from their analysis which are used to take further action and/or to augment the captured environment data.

The environment data and subsequent annotations are used to generate a 3D world which can be viewed in ShieldVision. The 3D world can be overlayed in a pass-through mode (MR/AR) or visualized and traversed in its entirety (VR) for post-event analysis.

ShieldVisionTM

ShieldVisionTM is our advanced eXtended Reality (XR) application. This application allows you to choose a 3D Virtual Reality (VR) representation of the project space or an Augmented Reality (AR) pass-through session when on-site for a live walk-through.

When viewing the project space in VR mode, a 3D representation of the project space is displayed with a common set of controls to navigate the space, interact with the annotations, and add additional annotations where appropriate.

When viewing the project space in AR mode, you will be able to walk through space in real-time using pass-through mode, with a common set of controls to interact with annotations, shine light on the space at the time of scanning (post-event comparison), and add additional annotations where appropriate.

ShieldVisionTM will be available on the Apple Vision Pro, Meta Quest 3, and Immersed Visor headsets. There will also be a VR-only web-based option available.

Future access to ShieldVisionTM will be available at https://shieldvision.app.

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ShieldNet Portal^TM

ShieldSwarm is an advanced set of robotics, of various form-factors, which work in collaboration to gather and process sensor data in the fastest, most accurate manner. This data collection allows our machine learning model(s) to analyze and process this data. The model(s) are able to create annotations from their analysis which are used to take further action and/or to augment the captured environment data.

The environment data and subsequent annotations are used to generate a 3D world which can be viewed in ShieldVision. The 3D world can be overlayed in a pass-through mode (MR/AR) or visualized and traversed in its entirety (VR) for post-event analysis.
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