從極清慧視的名字，或許你能理解它的定位——極清慧視只做一件事：極清圖像獲取、處理和應用，屬于機器視覺。機器視覺，或稱基于成像的自動檢測和分析，當涉及準確和可靠的產品檢測時，擁有超越人類視覺的全面優(yōu)勢，并且通常還結合了不同的技術。與計算機視覺不一樣，機器視覺對于識別的精度比較高，并且需要快速反饋，相應地，其識別的場景比較固定。
when it comes to accurate and reliable product testing, have beyond human visual comprehensive advantage, and often combined with different techniques. Unlike computer vision, machine vision to identify the accuracy is higher, and need a quick feedback, accordingly, its recognition of scene is fixed.
基于以上特征，極清慧視的技術主要被應用在工業(yè)高精密制造視覺檢測、高鐵列車及軌道視覺檢測等等，這些行業(yè)對于圖像的清晰度和拍攝的速度有很高的要求。
Based on the above characteristics, qing hui visual technology is mainly used in industrial high precision manufacturing of visual inspection, high-speed trains and rail visual detection and so on, these industries for image requires a high degree of clarity and shooting speed.
極清慧視創(chuàng)始人趙偉時解釋道，“極”代表道家文化——太極；“清”代表儒家文化——清心寡欲；“慧”代表佛家根本——慧根；“視”即看清楚。當一個人把道儒佛看清楚的時候，差不多就到“知天命”的階段了。在選擇這個名字的時候，他便清楚的知道，“我是誰？”、“我到哪里去？”、“我可以做什么？”
Qing hui see founder Zhao Weishi explained, "a" on behalf of the Taoist culture -- tai chi; "Qing" on behalf of the Confucian culture -- they have; "Hui" represent the fundamental - the famous buddhist; "View" to see. When a person see the integration of Confucianism and Buddhism, the word about the "is" phase. When choosing the name, and he knew, "who am I?" , "where do I go to?" , "what can I do?"
與其他創(chuàng)業(yè)者不同，趙偉時已經年過半百，選擇在這個年紀創(chuàng)業(yè)，一方面是看到了國內國際機器視覺技術的光明前途，另一方面是那個年代出生的人特有“責任感”，趙偉時表示：“人生的最后一段，希望能把我們的經驗化作國家的資源，為國家做點事。”
Unlike other entrepreneurs, Zhao Weishi has the year lead half hundred, choose entrepreneurship at this age, on the one hand is to see a bright future for the domestic and international machine vision technology, on the other hand is "responsibility", that people born s Zhao Weishi said: "the end of the life, hope to be able to put our experience into the resources of the country, to do something for the country."
也許是趙偉時對于創(chuàng)業(yè)意義理解的不一樣，這使得這家公司更加專注于產品的打磨，也在阿里巴巴諸神之戰(zhàn)創(chuàng)業(yè)大賽中贏得了一席座位。
行業(yè)痛點即機遇
Perhaps Zhao Weishi understand different implications for entrepreneurship, that makes the company more focus on product grinding, also in the battle of the gods entrepreneurship competition alibaba won a seat in the seat.
Industry (i.e. opportunities
眼下行業(yè)的痛點在于：國內機器視覺系統(tǒng)對于高端檢測清晰度達不到要求，甚至找不出瑕疵，檢測速度也跟不上生產線的速度。“高像素、高速 CMOS 面陣工業(yè)相機大部分由國外廠商壟斷，且國外機器視覺系統(tǒng)成本高。國內大多為二次開發(fā)商和系統(tǒng)集成商，自主研發(fā)能力弱。”趙偉時表示。
機器視覺的技術當前被美國、德國等國領先，全球市場也被美、德、日占據。根據 Automated Imaging Association 發(fā)布的統(tǒng)計數據，2015 年全球機器視覺市場規(guī)模約 42 億美元，增長 10．5％。美國約占 50％，日本緊隨其后。
monopoly by foreign manufacturers, and the high cost of machine vision system abroad. Domestic most of the two developers and system integrators, independent research and development ability weak." Zhao Weishi said.
Machine vision technology currently leading by the United States
區(qū)別于國外機器視技術，極清慧視研發(fā)的核心算法——極清工業(yè)攝影機的核心算法，基于物理層面，使用硬件描述語言進行匯編。而國外的技術則從計算機圖像處理出發(fā)，核心算法采用計算機語言，工程師習慣使用，但要達到工業(yè)機器適合運行的效率及精度還需要一個較長的過程。如此一來，極清慧視的產品拍攝的圖像在清晰度和快速性方面都比較高。
and other countries, the global market is dominated by America, Germany and Japan. According to Automated Imaging Association released statistics, global machine vision market size of about $4.2 billion in 2015, growth in 10. 5%. The United States accounted for about 50%, followed by Japan.
目前，極清慧視研發(fā)出了 UHDVISION 智能極清數字攝影機，能拍攝 4K 分辨率 75 幀每秒的 24／36 位原始圖像。同時為了保證視頻高速遠距離傳輸的需求，采用的是光纖直接傳輸。
language for assembly. While foreign technology based on computer image processing, the core algorithm USES the computer language, engineers used to, but to achieve industrial efficiency and precision of the machine is suitable for operation also need a long process. As a result, a qing hui depending on the product images taken in clarity and quickness are high.
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