工廠品質檢驗不再依賴肉眼判斷；SingTown AI視覺技術接手，提供更快更準確的結果。

SingTown Technology嘅智能相機系統，基於OpenMV，運用人工智能同機器視覺技術，實現對電路板冷焊、元件缺失及反向安裝等缺陷嘅自動識別。透過高精度圖像識別同對比分析，該系統有效減少人手檢測誤差，提升電子製造流程中嘅良品率同生產效率。

In the electronics manufacturing industry, issues such as cold solder joints, insufficient soldering, reversed components, or missing parts are critical and common challenges in product quality control. SingTown Technology's intelligent camera solution, based on the OpenMV platform, integrates AI deep learning with computer vision algorithms to enable real-time detection and localisation of circuit board defects on high-speed production lines.

The system captures high-definition images and automatically compares them with standard templates to conduct precise analysis of the brightness, morphology, position of solder joints on circuit boards, as well as the orientation of components. When defects such as cold solder joints, missing solder, or reversed component installation are detected, it can immediately issue alerts or activate the rejection mechanism, enabling automatic sorting and quality control.

Compared to traditional manual inspection, this AI smart camera solution provides quicker detection speed, enhanced stability, and reduced false positive rates, making it especially suitable for high-speed SMT production lines, automated assembly inspection, and final quality control processes.

利用OpenMV模組嘅微型化、可編程性同邊緣部署能力，呢個解決方案可以靈活整合到各種檢測設備中。SingTown Technology自主研發嘅算法庫同邊緣人工智能技術，讓用戶能夠根據實際生產需求自訂檢測參數，從而促進快速模型訓練同部署。

SingTown Technology provides low-cost, efficient, and scalable embedded vision solutions for electronics manufacturing through machine vision and image recognition technology, driving production lines toward higher precision and greater automation.