SingTown Technology Develops Innovative Banknote Counting AI Vision Solution Based on OpenMV

SingTown Technology基於OpenMV嘅AI智能相機系統，能夠實現紙幣面額嘅自動識別同分類。利用機器視覺同圖像識別技術，系統準確檢測各類紙幣嘅顏色、圖案同數字特徵，快速判定其面額，並進行自動記錄或分類。廣泛應用於自助販賣機、金融點鈔設備同教育培訓等領域。

In scenarios such as automatic payment, cash counting, counterfeit detection, and teaching demonstrations, banknote denomination recognition is an important application direction of computer vision technology. SingTown Technology's AI smart camera solution, based on the OpenMV platform, leverages powerful image recognition and feature matching algorithms to achieve high-precision recognition of banknote denominations.

系統透過鏡頭實時捕捉紙幣影像，並利用邊緣人工智能自動分析紙幣上的數字、圖案、顏色分佈及防偽特徵，從而快速判斷面值。同時，演算法展現出強韌性，即使紙幣出現輕微摺痕、傾斜或光線條件變化，仍能確保識別穩定。

Users can train the OpenMV smart camera to recognise banknotes from different countries or versions based on actual application scenarios. The recognition results can be directly output to the control system for automatic classification, amount calculation, or transaction authenticity verification.

This embedded vision system is compact, low-power, and suitable for edge deployment. It can be seamlessly integrated into devices like vending machines, campus payment terminals, and robot coin recognition modules, executing recognition tasks independently on the device side.

SingTown Technology，以人工智能、機器視覺及電腦視覺為核心技術，令智能相機具備「識別貨幣及面額」嘅辨識能力，為金融、零售及教育行業提供更智能可靠嘅自動辨識體驗。