SolVisionCase Study
Coin Classification Using AI
Case
Coin Inspection and Classification
In modern currency circulation, coin classification is crucial to ensure coins meet size and appearance standards. Traditionally, manual inspections have been used following the minting process, but these methods are time-consuming and prone to error. The need for a more efficient, automated solution has led to advancements in AI-driven classification technologies.
Challenge
Overcoming Identical Patterns and Size Variations
Classifying highly reflective and nearly identical coins poses a significant challenge in the coin classification process. Despite advancements in visual technology, machines struggle to identify coins made from similar metal materials, especially when they feature identical patterns and minimal size variations. A notable example is the Indonesian Rupiah, where the 100, 200, and 500 denominations share the same design and exhibit only slight differences in size. Traditional inspection systems often falter when handling reflective surfaces, resulting in a high susceptibility to misclassification. This underscores the pressing need for an AI-driven solution that can accurately discern between such coins.
Solution
Accurate Coin Classification with AI
SolVision enhances coin classification through advanced image processing technology, leveraging sophisticated algorithms to accurately analyze up to 50 distinct coins simultaneously. The system is resilient against challenges such as oxidation and is meticulously trained to improve the AI model’s ability to categorize entire batches with exceptional precision. This automation streamlines operations for bank tellers and cashiers, making it easier to manage large volumes of coins efficiently.
Coin Classification
Japanese Yen ¥500
Spanish Euro €0.05