機器視覺主要應用在哪些方面

详情描述：

機器視覺是一項綜合技術，包括圖像處理、機械機械工程技術、控制、電光源照明、光學成像、傳感器、模擬與數字視頻技術、計算機軟硬件技術等，其特點主要是提高生產的靈活性和自動化程度，在危險工作環境中或人工視覺難以滿足的場合中，替代人工視覺。
機器視覺主要應用在哪些方面?
1.智能製造：通過智能圖像識別方式，自動檢測型號是否正確，定位是否準確，完全替代人工操作，檢測準確率達100%。
2.教育考試：利用智能圖像處理技術，對印刷後試卷和原版試卷進行比對，發現問題自動提示並報警，替代之前只能通過人工對試卷進行校驗。
3.出版印刷：通過智能圖像處理技術進行自動校對，提高校對準確度，縮短校對時間，降低印刷成本。
4.安防監控：通過機器視覺自己數，對可疑人物進行自動檢測、人臉識別、實時跟蹤等，必要時可實現多攝像機接連跟蹤，並發出警告存儲現場信息。
5.智能交通：利用機器視覺技術，手機道路環境信息，自動規劃和控制車輛的安全行駛，以及對違規車輛行為進行識別，對駕駛員面部圖像進行分析。
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What are the main applications of machine vision?
1. Intelligent manufacturing: Through intelligent image recognition, it 
automatically detects whether the model is correct and the positioning is 
accurate. It completely replaces the manual operation and the detection accuracy 
rate reaches 100%.
2. Education test: Using intelligent image processing technology, the 
post-print test paper and the original test paper are compared, and the problem 
is automatically prompted and alarmed. Before the replacement, the test paper 
can only be manually verified.
3. Publishing and printing: Automatic proofreading through intelligent image 
processing technology, improve proofreading accuracy, shorten proofreading time, 
and reduce printing costs.
4. Security monitoring: through the number of machine vision itself, 
automatic detection of suspicious characters, face recognition, real-time 
tracking, etc., if necessary, can achieve multiple cameras in succession 
tracking, and issued a warning to store site information.
5. Intelligent Transportation: The use of machine vision technology, mobile 
road environment information, automatic planning and control of the vehicle's 
safe driving, as well as the identification of illegal vehicle behavior, the 
driver's facial image analysis.
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