Image processing technology plays an important role in the generation and monitoring of renewable energy. By analyzing images and data, the performance and efficiency of solar panels, wind turbines, biomass power plants and other renewable energy sources can be improved. Overall, this helps optimize the efficiency and performance of renewable energy and reduce the environmental impact.
Checking the external appearance of the battery. This includes checking the dimensions, color and labelling.
By using cameras and vision software, wind turbines and wind farms can be automatically monitored and optimized.
Image processing technologies play an important role in battery inspection. During the manufacturing and assembly process (e.g coating, slitting, notching, stacking) of the electrodes, line scan cameras are used to inspect dimensions, defects and alignment, of the battery components.
Another important application of image processing technology is to make a final check of the internal structure of the battery. This includes checking the arrangement of cells, seals and electrical cables. Vision software can automatically detect if there are any defects in the internal structure of the battery, such as leaks or loose wires.
These technologies enable automatic and rapid inspection of battery quality, which can reduce production times and improve battery quality.
One of the most important applications of machine vision technology in solar cell manufacturing is the inspection of the dimensions, optical properties and electrical properties of solar cells. This includes checking the thickness, width, length and surface condition of the solar cells. A vision camera can automatically detect whether the solar cell meets the required specifications and generate error messages if it does not.
Another important application of vision technology is to check the electrical conductivity of solar cells. This includes checking contacts, wires and electrical connections. Vision software can automatically detect if there are any defects in the electrical conductivity of the solar cells, such as loose contacts or poor connections.
Vision technology in wind turbines and wind farms has become increasingly important in recent years. By using cameras and vision software, wind turbines and wind farms can be automatically monitored and optimized. An important application of machine vision technology is rotor monitoring. High-resolution cameras are used to inspect the rotors for damage or wear. Using vision software, this damage can be automatically detected and classified. This enables faster and more efficient inspection of rotors.
3D measurement for effective control and optimisation of manufacturing processes, knowledge of the shape of the active surfaces of rotor blades and turbines is of particular importance.
Automatic safety monitoring is also a key application. Cameras are used to monitor the area around the wind farm for potential hazards such as birds. Using image processing software, birds can be detected and classified. In this way, the safety of the wind farm can be automatically monitored, and potential hazards detected at an early stage.
