Solar panel visual inspection system

[System Overview]
Solar panels are the main components of solar power generation systems, and their size and appearance quality have strict process requirements. Traditional manual detection methods have low efficiency, high error rate, and large product loss, so it is imperative that non-contact visual detection replace manual detection.

Wei Shi engineers have many years of experience in high-precision visual measurement, surface defect detection project engineering application, in-depth research on optical imaging methods and main algorithms in major projects, and in-depth understanding of solar panel manufacturing processes, developed "Battery board visual inspection system" will prevent the detection and measurement process from human intervention, and realize a highly efficient, highly repeatable and highly reliable inspection and measurement process.

Solar Panel Inspection Software

Software main interface
[System Configuration]
Vision Solar Panel Inspection System

Vision software: SVPS solar panel visual inspection software

Vision hardware: industrial LED light source, light source controller, industrial camera, industrial fixed focus lens

Control hardware: industrial computer, I / O card

[Detection classification]
Solar panel detection classification

[Test content]
Test item Test effect Test description
Edge collapse detection Solar panel collapse detection Solar panel characteristics are thin, brittle, easily collapsed or missing corners. The solar panel visual inspection system can automatically detect the edge collapse by extracting the contour of the panel and image analysis of the contour. And the missing angle, the detection accuracy is 0.5mm * 0.5mm.
Dirt on the surface Dirt detection on the surface of solar panels The stains and scratches on the back of the solar surface are mainly reflected in the presence of irregular spots, fingerprints, dirt, and scratches. The solar panel visual inspection system can automatically detect the above defects with a detection accuracy of 1mm.
Spots on the back Spots on the back of a solar panel
Exposed surface Detection of exposed surface of solar panels Multiple groups of solar panels are connected in series by tin foil welding, and the tin foil should cover the white soldering strip of the solar panel, but often the white soldering strip leaks out due to the misalignment or break of the tin foil. The board visual inspection system can be divided into areas, and automatic visual inspection is performed on the solder tape and the tin foil to determine the "brightness" of the battery board.
Exposing the back of a solar panel Exposing the back of a solar panel
Dimension measurement Solar cell panel size measurement inspection When tin foils connect multiple groups of cells in series or in parallel, the panel is welded with a solder joint. According to the product process, the position of the solder joint is very high. The solar panel visual inspection system can Accurately calculate the distance from the welding point to the edge as the inspection process standard, the inspection accuracy is 0.2mm.
Straightness detection
Several groups of solar panels are welded together by tin foil. The solar panel visual inspection system can automatically calculate the straightness of the solar cell string by detecting each panel.
[Software Features]
Detection speed
Improve quality
High recognition rate
Statistics
1. How to ensure the detection speed?

The system uses four cameras for online detection at the same time, and the detection speed can reach 3pcs / s. After the product arrives at the inspection station, it can output the size information and defect position of the inspection station instantly.

Multi-camera online real-time detection

2. How to improve detection quality?

Adopt non-contact detection method and image processing technology, automatically identify product position and shape information, automatically perform high-precision measurement and detection, and perform automatic capture detection, and automatically output detection results and size information without being affected by external factors.

Non-contact detection

3. What is the software's ability to identify defects?

Using self-developed detection algorithm, it can complete the recognition rate of 99.5% of defects such as whiteness, chipping, dirt, and spots on the battery panel. It has high timeliness and can timely find quality problems and potential hidden dangers at the production site. Through the analysis of the test data and test pictures, it is possible to evaluate whether the process is reasonable in real time to facilitate the improvement and adjustment of the later process.

Software identification algorithm

4.Data statistics function

The measurement data and results are automatically saved to facilitate later traceability and archival inspection. At the same time, the detection system is equipped with statistical analysis functions, which can easily and easily complete the production of inspection reports. The real-time statistics of the pass rate, the number of OK products, and the number of NG products are used. Output in the form of a spreadsheet, supporting online printing mode.

Measurement result data statistics function

The solar panel visual inspection system relies on its advanced vision functions and durability to help manufacturers in the photovoltaic industry increase productivity, ensure product quality, and reduce production costs. This system is one of the few vision systems in the market that can provide industry-level functional standards.