Overview of non-destructive PV imaging technology

Ultraviolet fluorescence (UV-FL)

Best for: Cell crack detection; Limitation: Depends on aging time

Visual (VI)

Best for: Fast inspection; Limitation: Limited to visual defects

Electroluminescence (EL)

Best for: Various defects; Limitations: Experience needed for interpretation

Infrared (IR)

Best for: Hot spots; Limitation: Only detects heat signatures

  • EL is the most powerful, information-rich and mature tool for detection of PV module defects.
  • Using EL for onsite inspection, we can accurately pinpoint and detect defective PV modules.

Quantitative Electroluminescence Analysis (QELA)

Artificial Intelligence

On top of QELA algorithms, we develop machine learning and artificial intelligence models to detect and analyse every module in PV plants and identify potential defects that might reduce the performance of the asset.

Drone coupled EL imaging

Our semi-autonomous drone inspection patent-pending technology performs inspection of large-scale solar assets in an easy, fast and user-friendly manner. The use of drone opens the possibility of site inspection for hard-to-reach places such as floating PV plants. Built-in auto search functions and constant communication with the ground power station enable the drone to fly to the required region automatically for measurements. An embedded processor adjusts camera parameters and lens focus to enable optimum EL imaging. With advanced telemetry, the module location can be accurately determined without the need of human intervention during post-processing.