The cash counter, the "gatekeeper" of this bank counter, is facing a technology driven identity reshaping.
According to industry insiders, the recognition rate of the old cash counting machines currently circulating in the market for "half genuine and half fake" spliced coins is less than 70%. Therefore, in the upcoming draft of the new national standard for soliciting opinions, it is expected that cash counting machines will be required to be equipped with neural network anti-counterfeiting algorithms based on deep learning.
This means that future cash counting machines will no longer be just "machines", but will become "experts":
Self learning ability: AI cash counting machines can be updated through the cloud, enabling devices across the network to recognize new features within hours of discovering new counterfeit currency, eliminating the need for hardware upgrades as in the past.
Multispectral fusion: In addition to traditional infrared and ultraviolet, the new standard will encourage the use of 3D imaging technology to distinguish counterfeit currency by measuring its three-dimensional concavity and convexity, which is currently an insurmountable gap for highly counterfeit currency.
Industry impact:
According to incomplete statistics, nearly one million old cash counting machines in the national stock market are facing elimination or mandatory upgrades. For the financial equipment industry, there may be a wave of "replacement wave" from 2026 to 2027, and the market size is expected to exceed 5 billion yuan.
