由於自動化的趨勢，全球都在致力發展取代人力的設備，進而增進產線的效能和降低開發成本。目前許多家廠商發展出非常多功能的自動光學檢測(Automated Optical Inspection, AOI)設備，但由於設備皆採用工業等級的電腦當作主要運作系統，導致成本居高不下、機器體積龐大且消耗功率過大不符合節約能源的趨勢，廠商也極力地找出可能解決的方法。隨著數位信號處理器(Digital Signal Processor, DSP)的發展，擁有處理速度更快、體積更小、功能完善且低成本的DSP產品，漸漸地取代高成本的工業電腦設備，而DSP所建構的系統在大量且複雜的運算處理上有著高準確度及高效能的表現，尤其「低功率」能達到節約能源的效果。本研究主要目標是利用GigE高解析度攝影機，建立起獨立的自動光學檢測系統，後端連接DM6437開發平台，將攝影機所擷取到的影像畫面傳送到DSP進行影像處理，分析及辨別電路板上的瑕疵，經由乙太網路，提供檢測結果至人機介面，讓使用者更快速地獲取得電路板上的資訊。

Due to the trend of automation, people throughout the world have been concentrating on creating the equipment to replace human resource, and further increase the efficiency of production lines and reduce the cost. Manufacturers have developed a variety of equipments for Automated Optical Inspection (AOI). However, most of the facilities use industrial PCs as the main operating system, which lead to high costs, huge volume of machine, and high power consumption. In order to achieve energy savings, manufacturers are giving efforts to find out solutions for the problem. As Digital Signal Processor (DSP) become faster, smaller, more capable and low-cost, they gradually replace the usage of high-cost industrial computer equipments. Additionally, DSP-based System can perform large complex operation processing more accurately and efficiently, especially to achieve energy savings with its "low power." The purpose of this study is to use high-resolution GigE Vision cameras to set up independent AOI systems. This system will combine DM6437 Evaluation Module with GigE camera to transfer raw image data to DSP for image processing as well as to analyze and identify any detected flaws. Through the network , the analyze results will be sent to the human-machine interface so users can receive the information on PCB quickly.

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