Inspection Cloud is a SaaS solution which provide tools to handle your infrastructure inspection flows with state of the art tools like 3D modeling and Artificial Intelligence.
Data Management / Datawarehouse
Inspection Cloud provides the tools to store your inspection images and provides automated feature to normalize and enrich the data to make it ready for analysis and processing. The data is stored at Amazon S3 by default, but it's possible to hook-up any S3 based storage to your account. All data is owned by you and can freely be exported.
The core feature in Inspection Cloud is Inspections. Each inspection usually covers an asset or parts of it at a specific time. Annotations marking the damages or areas of interest can be created manually or automatically with Computer Vision.
To understand the location and size 3D models can be generated from your images. The 3D model is exported to multiple formats like .obj and .las files and can be used inside Inspection Cloud or be exported and worked with in GIS software for custom analysis or visualization.
To automate the inspections you can use Computer Vision to automatically detect damages in your infrastructure. Automated detections are super fast and often more precise than humans.
3D Vision / Computer Vision Grouping
The detections from Computer Vision display a box every time a damage is spotted. Since the same damage appear in multiple images, we need to group the boxes to create a list of true findings. This way each unique damage is presented and can be viewed from multiple angles. Probability is also increased since our AI can understand the data and filter away bad annotations from Computer Vision.
Data can be exported to reports and shared online with interactive tools or as PDF. The look and feel can be customized to your needs and can merge data across inspections to provide overview reports for management and extensive reports for the repair team.
Everything is build on top of an REST API and all or just parts of the tools and workflows can be integrated into your own systems.