The GuardianShield Suite is a set of hardware and software packages utilized together to achieve your specific goals. The prime example for a configuration of the suite would be for disaster response which allows for search and rescue in various environments. The components for this use-case would include:

  • ShieldSwarm
  • ShieldFabric
  • ShieldRescue
  • ShieldVision

All configurations include standard access to the ShieldNet Portal.

ShieldFabric is a set of infrastructure components configured to our customers' needs. These items include centralized docking stations (wired), remote docking stations (solar), networking components, cellular access, etc. More to come as we gain more insight into the varying deployment landscapes.

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 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.

ShieldSafety is our AI model used in building safety inspections. It processes the incoming sensor data from ShieldSwarm to determine real and potential points of failure in building safety maintenance. These callouts of failure points allows for appropriate mitigation and corrective action of each failure point and of the existing maintenance plan.

When used in tandem with ShieldVision, safety personnel, maintenance personnel, and management can perform real time, on-site walkthroughs and post-scan virtual walkthroughs which allows for validation and in-depth analysis of each callout.

With the use of these tools, safety risks can be reduced and action-plans can be improved in faster, more efficient and effective manner.

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 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.