基于視覺檢測系統的工作原理，其主要的應用領域盤點
發布時間：
2023-02-10 11:26
所謂的機器視覺檢測技術主要用計算機來模擬人的視覺功能，把客觀事物的圖像信息提取、處理并理解，最終用于實際檢測、測量和控制。基于機器視覺的工作原理，在各個領域中又有哪些突出的優點呢？
The so-called machine vision mainly uses the computer to simulate the human visual function, extracts, processes and understands the image information of the objective things, and finally applies to the actual detection, measurement and control. Based on the working principle of machine vision, what are the outstanding advantages in various fields?
1.基于機器視覺的掃描、刷臉支付方案：
Scanning and face brushing payment scheme based on machine vision
基于機器視覺的掃描、刷臉支付方案，集成人臉識別、掃碼支付的處理模塊，便捷、安全的人臉識別可成為保證冬奧會安保的小助手，人員出入可以得到明確的數據統計，以確保會場的安全。
The scanning and face brushing payment scheme based on machine vision integrates the processing module of face recognition and scanning code payment. The convenient and safe face recognition can become a small assistant to ensure the security of the Winter Olympic Games. The personnel can get clear data statistics to ensure the safety of the venue.
2.機器視覺輔助自動駕駛
Machine vision assisted automatic driving
自動駕駛汽車離不開機器視覺技術，障礙物檢測及道路檢測都需要應用機器視覺技術。
Automatic driving vehicle cannot do without machine vision technology. Obstacle detection and road detection require machine vision technology.
障礙物檢測的準確率是車輛自動駕駛過程中安全性的重要保證。基于立體視覺的障礙物檢測因為既不需要障礙物的先驗知識，對障礙物是否運動也無限制，還能直接得到障礙物的實際位置而成為主流研究方向。
The accuracy of obstacle detection is an important guarantee in the process of vehicle automatic driving. Obstacle detection based on stereo vision has become the mainstream research direction because it does not need the prior knowledge of obstacles, has no restrictions on whether the obstacles move or not, and can directly get the actual position of obstacles.
自動導航是自動駕駛的必要條件，自動駕駛過程中，道路檢測主要是為了確定車輛在道路中的位置和方向，以便控制車輛按照正確的路線行駛。
Automatic navigation is a necessary condition for automatic driving. In the process of automatic driving, the main purpose of road detection is to determine the position and direction of the vehicle in the road, so as to control the vehicle to drive according to the correct route.
目前，機器視覺技術在自動駕駛中并沒有進行大規模的應用，機器人產學研聯盟機器視覺領域專家表示，其實這并非是硬件的問題，事實上攝像頭技術在汽車中的應用已經十分成熟，最終難點仍然在于模擬神經網絡的視覺算法。
At present, machine vision technology has not been widely used in automatic driving. Experts in the field of machine vision of robot industry university research alliance say that in fact, this is not a hardware problem. In fact, the application of camera technology in automobile has been very mature, and the final difficulty is still to simulate the visual algorithm of neural network.
3.工業視覺檢測
Industrial visual inspection
機器視覺可以快速獲取大量信息，并進行自動處理。機器視覺可說是工業自動化系統的靈魂之窗，從物件/條碼辨識、產品檢測、外觀尺寸量測到機械手臂/傳動設備定位，都是機器視覺技術可以發揮的舞臺。
Machine vision can get a lot of information quickly and process it automatically. Machine vision can be said to be the soul window of industrial automation system. From object / barcode identification, product detection, appearance dimension measurement to robot arm / transmission equipment positioning, machine vision technology can play a role.
4.機器視覺與安防大碰撞
Machine vision and security collision
機器視覺中的目標識別、目標追蹤、雙目技術、多球機跟蹤聯動技術技術應用為安防行業帶來改變。如果把攝像機看作人的眼睛，而智能視頻分析系統可以理解為人的大腦，智能視頻分析技術借助處理器的強大計算功能，對視頻畫面中的海量數據進行高速分析，獲取人們需要的信息。
The application of target recognition, target tracking, binocular technology and multi ball machine tracking linkage technology in machine vision has brought changes to the security industry. If the camera is regarded as human eyes, and the intelligent video analysis system can be understood as the human brain, intelligent video analysis technology with the powerful computing function of the processor can analyze the massive data in the video screen at high speed, and obtain the information that people need.
當機器視覺與圖像處理技術加入之后，打破了原有的限制，得以設計出一個實時視頻監控系統。該系統在實現視頻監控同時，通過運用機器視覺技術，增加了視頻變化檢測和自動錄像功能，系統能夠自動識別場景變化，檢測出運動目標并鎖定，同時發出警告和啟動存儲裝置。這樣不僅可以節省大量存儲空間，提高監控存儲效率，減少不必要的回放，而且數據更加具有針對性。
When machine vision and image processing technology are added, the original limitations are broken, and a real-time video monitoring system is designed. At the same time, through the use of machine vision technology, the system adds video change detection and automatic recording functions. The system can automatically identify scene changes, detect moving objects and lock them, and send out warnings and start storage devices. This can not only save a lot of storage space, improve the monitoring storage efficiency, reduce unnecessary playback, but also make the data more targeted.
5.機器視覺用于醫療影像診斷
Machine vision for medical imaging diagnosis
醫療數據中有超過 90% 的數據來自醫療影像。醫療影像領域擁有孕育深度學習的海量數據，醫療影像診斷可以輔助醫生，提升醫生的診斷的效率。
More than 90% of medical data come from medical images. In the field of medical imaging, there is a huge amount of data pregnant with deep learning. Medical imaging diagnosis can assist doctors and improve the efficiency of doctors' diagnosis.
機器視覺檢測技術在各大領域的逐漸滲透，也慢慢開始向更多的領域發展，為各行各業提自動化的檢測技術，助力企業的快速發展。
With the gradual penetration of machine vision detection technology in various fields, it has gradually begun to develop into more fields, providing automatic detection technology for all walks of life and helping the rapid development of enterprises.
視覺檢測