In optoelectronics, manufacturing polarizers require evenly distributed film layers which is achieved by having consistent gas levels. Monitoring compression parameters during gas production is key to improving yield.
Limitations of traditional machinery
Traditional gas monitoring machines and equipment feature dashboards that display readings but these often lack a digital interface and prevent data from being uploaded quickly to a digital monitoring system, slowing down the manufacturing process.
Limitations of traditional machinery
Traditional gas monitoring machines and equipment feature dashboards that display readings but these often lack a digital interface and prevent data from being uploaded quickly to a digital monitoring system, slowing down the manufacturing process.
Optical Character Recognition with SolVision
Bridging machine vision and robotics, SolVision uses AI image analysis to performOptical Character Recognition (OCR), which converts information from traditional machines into legible digital data that can be immediately processed. This helps facilitate a smoother real-time data transfer and enables efficient monitoring in case of abnormal production scenarios.
Digitization with OCR
1. Industrial camera shoots 2D images
2. Optical character recognition obtains numericals and coordinates
SMT is a critical soldering process in the electronics industry. SolVision detects defects on PCBs which are known to have numerous small, complex components
Overcoming traditional AOI limitations, Solomon’s SolVision quickly performs OCR without being affected by background or lighting conditions, complexity, or appearance of the serial number.
SolVision recognizes defects and categorizes eggs, enabling automated AI inspection on a fast moving production line for better food safety and quality control.
Solomon’s AccuPick solution enhances bin picking precision by integrating powerful software with the SolScan 3D camera, enabling precise recalibration and facilitating complete task automation.