Solar energy refers to the radiant energy of sunlight. With advancements in science and technology, it has been widely used for power generation since the beginning of the new century. Solar power generation has advantages such as widespread energy availability, ease of use, long lifespan, and zero pollution, but it also has disadvantages such as low efficiency and high cost. The idea of using solar energy to replace coal and oil was first proposed in the United States in the 1970s. Currently, Germany is leading the way in this application compared to other countries.
We know that solar panels are composed of many small photovoltaic cells, and the processing of these cell units requires a significant amount of manpower and resources. After the photovoltaic cells are processed, they need to be connected in series. If the cell units are not correctly placed or connected during this process, it will directly affect the operation and efficiency of the solar panel. After the solar panels are manufactured, the heavy workpieces also pose a challenge for manual handling.
The high cost and labor-intensive nature of these complex manufacturing processes are easily explained. To reduce costs to some extent, solar panel manufacturers are increasingly using machine vision technology. Machine vision is applied to inspection to reduce damage rates and variability during photovoltaic cell processing; it is also applied to automated operations to pick up individual wafers and fix finished panels for transportation, greatly saving manpower and material resources.
Machine vision technology for inspecting solar panels mainly includes: shape inspection (width, thickness, verticality, warpage, etc.); appearance inspection (microcracks, fissures, perforations, microcrystals, line marks, crystal detachment, edge chipping, and missing corners, etc.); electrical performance inspection (conductivity type, resistivity, minority carrier lifetime, etc.); and impurity analysis (impurity oxygen and carbon content analysis, etc.). Furthermore, machine vision is highly flexible, stable, and efficient, and can be used in repetitive operations requiring high precision, such as assembling individual photovoltaic cells and wafers. It can locate wafers running on conveyor belts or directly participate in the installation process. Precise positioning, accurate inspection, and precise assembly—these advantages enable machine vision technology to effectively reduce costs, improve production efficiency, and increase quality stability.
