Optical Character Recognition

SolVision’s advanced AI-based OCR technology enables automated car engine number recognition, ensuring rapid, accurate data extraction and seamless integration.

Machine vision is utilized to perform Optical Character Recognition (OCR). This information is sent to the cloud to create an inspection report, allowing plant operators to easily monitor facility inspection through mobile devices.

Explore META-aivi’s impact on plastics manufacturing, achieving 70% faster gauge meter readings, automated data uploads, and reduced meter reading errors.

We explore the process of converting images into machine-readable text and the uses of Optical Character Recognition technology by industry.

SolVision’s superior recognition capabilities ensures that OCR of bicycles can be accurately carried out regardless of how the identification numbers look or light refraction levels.

Solvison enables OCR for license plates and container numbers even when shapes, color and locations of characters vary, and are pictured in poor lighting conditions.

With SolVision OCR identification numbers can be analyzed and converted into numerical data for database logging and connecting with automobile identification numbers in real-time

Inner wheels are rubber rings that each have a corresponding serial number to help identify its model specifications and matching tire size.

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.