因目前使用的光譜儀，無法將光譜影像進行即時影像成像、分析與影像對焦，所以光譜設備製造時，須經其他設備將影像感測器對焦及光譜校正，然後紀錄參數，因此光譜儀進行設備安裝與成像測試等步驟時，需要確認光譜成像的正確性，以及量測誤差範圍合理性，有鑒於這樣的繁複手續，容易造成人員組裝誤差，和校正參數無法確認等問題，因此有必要研究和解決這個問題。
因近年來影像辨識技術與智能化平台處理器，都有效率極佳的開發平台，並且已經有許多產品應用，因此，本研究希望可提供出一個智能化應用平台，對於光譜影像對焦與量測結果，可以提供即時影像錄影，並且數據運算可以再光譜儀系統上進行，進一步調整實驗誤差與光譜儀校正參數，經由重複量測及校正回歸，以及各種關鍵的生產製程步驟進行簡化，最後可以準確地測量出待檢測物品之光譜特性。
光譜儀整合高效能處理平台，除了可以縮短目前待檢測物品量測定位時，造成儀器校正歸零的時間浪費，並且解決馬達移動時，移動誤差所造成的量測誤差。本研究希望可以藉由強化中央處理器，並改善影像感測器等相關技術，進一步改善目前光譜儀量測待檢測物品的過程，從耗時 4 分鐘的狀況，優化其耗時縮短至 20 秒內，並且運算分析可以由光譜儀進行高速運算及自我校正。

Since the currently used spectrometers cannot perform real-time image imaging,analysis, and image focusing of spectral images, when manufacturing spectroscopic devices,the image sensor must be focused and spectrally calibrated by other equipment, and then the parameters are recorded. Therefore, the spectrometer needs to confirm the correctness of the spectral imaging and the rationality of the measurement error range when performing steps such as equipment installation and imaging testing. In view of such a complex procedure, it is easy to cause problems such as personnel assembly errors and inability to confirm calibration parameters. Therefore, it is necessary to study and solve this problem.
At present, both imaging technology and intelligent processor are mature.Therefore, this study hopes to provide an intelligent application platform that can provide real-time image recording for spectral image focusing and measurement results, and can perform data calculations and import machine learning calculations to further measure experimental errors and key production processes. Each spectrometer can accurately measure the spectral properties of the object under test.
The spectrometer integrates an efficient processing platform, which can not only shorten the calibration and zero adjustment time of the instrument when measuring the position of the measured object, but also solve the measurement error caused by the motion error when the motor is moving. This research hopes to further improve the measurement capabilities of current spectrometers on the measured object by using high-speed computing and improving image sensors and other related technologies. It takes 4 minutes to optimize to within 20 seconds, and can be calculated and analyzed by a spectrometer. High-performance computing and self-calibration.

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