Application of industrial camera in solar cell manufacturing (B)

As a large manufacturing country in the photovoltaic industry, how to ensure the quality of solar panels is a topic that every photovoltaic manufacturer needs to face. During the production of solar panels, due to many reasons, damage will occur after the production of solar panels, resulting in Part of the area does not work properly, so it needs to be tested before leaving the factory, and today we will introduce how to use machine vision to detect solar panels.

Solar panel inspection

Testing requirements:

According to the damaged area or area of the solar panel, determine whether the product is qualified.

Technical Difficulties:

Normal battery panels can only emit faint near-infrared light under certain conditions, so a high-sensitivity camera is required for normal acquisition.

Solution:

In a dark environment, apply reverse voltage to the solar panel to make it emit near-infrared light, collect it with a high-sensitivity CCD industrial camera, and detect it with a special algorithm to determine product compliance.

Sample solar panel test

Solution advantages:

High detection efficiency: one station can perform efficient detection;

High stability: Fully automatic detection is used to avoid the subjective factors of manual detection;

Low false detection rate: detection using targeted algorithms.

Application development:

High-sensitivity industrial cameras that use machine vision for solar panel detection can collect other weak illuminants such as fluorescence, and can also be used in other near-infrared acquisition systems.