SingTown Technology's visual AI empowers agricultural equipment to achieve automated plastic film detection.

In the process of agricultural mechanised planting, the quality of plastic film laying directly affects heat preservation, moisture retention, and crop emergence rates.
傳統人手檢查方法效率低下，容易出錯，並且無法在操作過程中實時檢測薄膜損壞或錯位。
To address this issue, agricultural equipment manufacturers have adopted SingTown's OpenMV intelligent camera recognition technology, integrating AI machine vision and image recognition algorithms to achieve detection of mulch film width and identification of damage.
The system can monitor the film laying status in real-time under complex field conditions (including dust, smoke, glare, etc.), promptly detect anomalies, and is widely applied in agricultural equipment fields such as plastic film laying machines, seeders, and automatic film laying machines.

Agricultural equipment manufacturers utilise SingTown's OpenMV intelligent camera recognition technology to achieve real-time monitoring and quality warning of plastic film laying status.

該方案涉及在設備後部安裝一個工業級攝像頭，其視野朝向後方地面。其嵌入式視覺系統及邊緣端人工智能可用於實時檢測約2.05米寬的塑料薄膜鋪設狀態。通過採用邊緣檢測、形狀識別及區域亮度分析算法，提取薄膜的邊界線，並實時計算薄膜鋪設寬度。

與此同時，人工智能算法透過紋理連續性分析及亮度突變檢測，判斷薄膜是否存在裂紋、孔洞或皺褶。

當薄膜受損、寬度不均或受風吹影響時，OpenMV模組會立即輸出警報信號，或透過串列埠將檢測結果傳送至車輛控制系統，實現即時警示或自動停機功能。

The system has been optimised for image preprocessing in field environments with strong light, dust, and glare, ensuring high recognition stability and continuous detection even in complex scenarios such as high-speed operation (5–10 km/h). The entire recognition cycle is less than 1 second.

透過SingTown機器視覺智能攝像機嘅電腦視覺同圖像識別技術，農業設備製造商實現咗對塑膠薄膜鋪設質量嘅實時監控同異常反饋，有效提升咗農機作業嘅自動化同智能化水平。