Inspection deliverables represent the type of services delivered as of an inspection. An inspection can contain one or more deliverables. Below is the list of deliverables currently supported by Zeitview.
Solar Farm
Module Advanced Inspection
An aerial thermographic inspection that includes all Module Basic Inspection anomalies, including the detection of subtle performance or site concerns such as cell cracking, potential induced degradation (PID), vegetation, surface fouling, and installation defects.
Solar Farm
Module Basic Inspection
An aerial thermographic inspection that includes all String Level Inspection anomalies, plus identifies all module-level safety, warrantable and high power loss anomalies.
Solar Farm
String Level Inspection
An aerial thermographic inspection that identifies all electrical balance of system (BoS) issues, outages and safety concerns.
Solar Farm
Glass Crack Detection Inspection
A high-resolution aerial inspection that detects fine cracks in PV modules with 2.5mm or thinner glass coverings.
Utility Transmission or Distribution Network
Pole Inventory Inspection
Analysis of UAV RGB images for identifying equipment on utility poles.
Scope of equipment identified may vary according to the number of images captured per pole.
Utility Transmission or Distribution Network
Aerial RGB/Visual Inspection
Analysis of UAV RGB images for identifying anomalies on utility poles. Scope of anomalies identified may vary according to the number of images captured per pole.
Utility Transmission or Distribution Network
Ground RGB/Visual Inspection
Analysis of ground based RGB images for identifying anomalies on utility poles. Scope of anomalies identified may vary according to the number of images captured per pole.
Utility Transmission or Distribution Network
Thermal Inspection
Analysis of UAV thermal data to identify and report discernible thermographic conditions including, without limitation unbalanced load, excessive resistance, overheating clamps, splices, transformers, etc.
Developed Site
Roof Condition
Analysis of drone-captured RGB imagery to identify visible roof surface anomalies, including water ponding, membrane defects, and debris accumulation.
Developed Site
Thermal Roof Condition
Analysis of drone-captured thermal imagery to identify thermal anomalies indicative of potential sub-membrane moisture within the roof assembly.
Developed Site
Roof Equipment Condition
Analysis of drone-captured RGB imagery to identify visible condition issues and anomalies affecting roof-mounted equipment and penetrations, including RTUs, skylights, hatches, and associated guards.
Developed Site
Roof Equipment Inventory
Analysis of drone-captured RGB imagery to identify, classify, and quantify roof-mounted equipment and features, including counts of RTUs, skylights, vents, and other visible roof penetrations.
Developed Site
Facade Condition
Analysis of drone-captured RGB imagery to identify visible condition issues and anomalies affecting building façades, including exterior wall surfaces, cladding, and architectural elements.
Developed Site
Thermal Facade Condition
Analysis of drone-captured thermal imagery to identify thermal anomalies on building façades that may indicate heat loss, insulation deficiencies, or moisture intrusion within the exterior wall assembly.
Developed Site
Facade Inventory
Analysis of drone-captured RGB imagery to identify, classify, and quantify façade features, including counts of downspout kick outs and measured square footage of the building façade surface.
Developed Site
Pavement Condition
Analysis of drone-captured RGB imagery to identify visible condition issues and surface anomalies affecting pavement areas, including cracking, deformation, surface wear, and debris.
Developed Site
Pavement Inventory
Analysis of drone-captured RGB imagery to identify, classify, and quantify pavement features, including counts of parking spaces and storm drains, measured areas of asphalt and concrete pavement, and linear footage of curbing.
Developed Site
Landscape Condition
Analysis of drone-captured RGB imagery to identify visible condition issues and anomalies affecting landscaped areas, including vegetation health, erosion, bare areas, and debris.
Developed Site
Landscape Inventory
Analysis of drone-captured RGB imagery to identify, classify, and quantify landscape features, including counts of trees and shrubs and measured areas of ground cover materials such as grass, mulch, and rock.
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