Automated Inspection for Distribution and Transmission Networks
Maintain and extend the life of utility assets with computer vision and a seamless digital experience to deliver safer Inspections, automated workflows, and accessible data records across networks.
Collect
True remote operational control with accurate and repeatable data capture. Automate transmission, distribution and substation inspections with optimized flight paths for specific asset types.
Analyze
Detect component faults and overall asset condition with AI analytics.
Monitor complete asset portfolio in accordance with internal inspection and maintenance standards.
Action
High quality images and insights integrated via API with asset management platforms and work scheduling systems.
Digital transformation for your inspection workflows
Deploy Unleash live at any stage for fast operational results
Readiness
Pilot onboarding and training
Developing Standard Operating Procedures
Regulatory approvals
Inspection Scheduling
Ingest work orders from ERP software
Divide, assign and view pilot’s workload
View asset details, including last inspection
Mission Planning
Create, import and load missions
Automated missions
UTM support for air space clearance
Capture and Upload
Automated asset capture for consistent, repeatable collection at scale
Smart skills for predefined assets
Precise capture for complete asset coverage
Ultra low latency live streaming for faster decision making
Upload from the field to reduce time to action
AI Detection
Instant AI analytics
Fault and component detection
Condition monitoring
Customized to internal inspection and maintenance standards
Reporting
Instant distribution of insights using sharelinks
API integration with your existing workflow
Standardized formats for use with asset management software such as SAP, Esri, Neara or others
68%
Average time saved by our clients with automated drone inspections
Mastering Remote Operations in the Energy Sector
Learn how to maintain and extend the life of your energy assets with computer vision and a seamless digital workflow.
“With the advantage of artificial intelligence, we can actually have the computers study our network better than the human brain can and identify faults in our network before they happen so we can fix them before it’s an issue.
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CASE STUDY
Endeavour Energy
Endeavour Energy has improved network reliability, worker safety, and avoided costly power outages by implementing drone-based asset inspections to identify faults and damaged equipment on their power network.
50%
Reduction in inspection time by drone field team
70%
Reduction in inspection time of multiple poles
Significant increase in worker safety
Security
Built on world leading infrastructure for secure and scalable deployment as well as ensuring data sovereignty requirements.
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