Farewell to "Luck-Based" Logistics Random Inspections, SingTown Technology Enables "Full-Coverage" Efficient Inspection Implementation

在快遞物流分揀及出庫作業過程中，包裹標籤的黏貼質量直接影響信息識別及後續派送流程。傳統的人工抽樣檢查效率低下且容易出現疏漏，特別是在高速分揀線上，實時監控更為困難。為解決此問題，快遞物流公司採用了星瞳的OpenMV智能相機識別技術。該系統利用人工智能機器視覺及圖像識別算法，自動檢測包裹標籤的黏貼狀態，確保每個標籤完整且位置準確。

Express logistics enterprises utilise SingTown Technology's OpenMV intelligent camera machine vision and image recognition technology to achieve automatic label detection and correction during the conveyor belt sorting process.

The camera is installed approximately 30–50cm away from the package to identify a white label measuring about 60mm×60mm. The system utilises edge detection, region recognition, and template matching algorithms to determine whether the label is missing, misplaced, offset, or lifted. Upon detecting any of the aforementioned conditions, the system immediately sends a signal to the control unit to enable automatic alarm or rejection processing.

OpenMV智能相機嘅邊緣計算同實時處理能力，令佢能夠喺高速傳送帶上穩定檢測目標，單次響應時間少於200毫秒。系統嘅檢測結果可以透過GPIO或串口輸出，無縫連接分揀控制系統或PLC，形成完整嘅自動化質檢流程。

透過SingTown科技嘅OpenMV智能相機識別技術，快遞物流企業實現咗由人手抽樣檢查到全面覆蓋檢測嘅智能化升級，結合邊緣AI同嵌入式視覺技術。憑藉其靈活高效嘅邊緣部署能力，顯著提升出庫準確率同分揀效率，為智能物流系統建設提供強有力嘅技術支援。