SenseHawk - AI-Driven Drone Data Insights for Asset Management
SenseHawk offers an innovative solution for asset and work management with AI/ML-powered insights derived from drone data. By providing an aerial overview of site topography and layered digital maps, SenseHawk enables time-based monitoring for progress tracking and stakeholder updates. The platform excels in defect analysis, allowing comprehensive defect mapping through aerial IR scans, enabling teams to prioritize and manage remediation tasks efficiently. Task management is streamlined with functions to create, update, and share defect lists. SenseHawk's map-based mobile app facilitates quick access to data and report generation, enhancing task closure. Comprehensive data integration from various sources supports asset lifecycle analysis, including defect monitoring and prioritization for PV and thin-film installations. The system employs digital twins and geospatial analysis for inspecting and monitoring infrastructure, providing a detailed view of sites. Leveraging these features, SenseHawk aids in planning, inspecting, measuring, and managing asset lifecycles effectively.
The insights you need at speed to keep costs down and optimize work for your teams. Get an aerial overview of your site topography, layer on a digital map of your site, and enrich with data for time-based monitoring of progress to keep stakeholders updated, track issues, and prioritize remediation with AI-based insights and classification.
View and filter defects on a site map
Integrate aerial IR scan data to digitally map defects on a thermographic and topographic view of the site. Get a comprehensive list of defects that can be converted into tasks. View and filter defects by type.
Create and monitor remediation tasks
Select individual or bulk defects and choose the required action. Create tasks and add assignees. Update status, priority, due date, category, and tags. Filter, download, and share defect lists and details as CSV files.
Accelerate task closure and reporting
Speed up defect remediation with AI/ML-based defect classification and prioritization. Use the map-based mobile app to view assigned tasks, swiftly navigate to the location, get access to information, and create reports.