应用场景是机器视觉检测迅猛发展的关键

 

据统计，在全球范围内，全球认知技术领域创业活跃，机器视觉检测投资热度高。让计算机“看懂”世界的技术“机器视觉检测”就是指用计算机来模拟人的视觉系统，实现人的视觉功能。作为计算机的眼睛，机器视觉检测是机器认识世界、看懂世界的一种方式，它与语音识别、语言识别一并构成了人工智能的感知智能，让机器完成对外部世界的探测，进而做出判断，采取行动，让更复杂层面的智慧决策、自主行动成为可能。可以说，机器视觉检测是人工智能产品或方案不可或缺的重要部分。基于深度学习算法模型和CPU、GPU等关键硬件的支撑，机器视觉检测技术应用得以实现，并最终集成于多类产品和应用场景之中(如工业机器人、无人驾驶等等)。

 

According to statistics, in the global scope, the global cognitive technology business is active, and the investment of machine vision inspection is high. Let the computer "understand" the technology of the world "machine vision inspection" is to use the computer to simulate the human visual system, to achieve human visual function. As the eye of a computer, machine vision detection is a way of knowing the world and understanding the world. It forms the perceptual intelligence of artificial intelligence with speech recognition and language recognition, and allows the machine to complete the detection of the external world, and then make a judgment, take action, make the intelligent decision and autonomy at a more complex level. Action is possible. It can be said that machine vision inspection is an indispensable part of artificial intelligence products or programs. Based on the depth learning algorithm model and the support of key hardware such as CPU, GPU and other key hardware, the application of machine vision detection technology is realized and finally integrated in multi class products and application scenarios (such as industrial robots, pilotless and so on).

 

应用场景是机器视觉检测迅猛发展的关键

 

目前大量创业公司集中技术提供层，上游衔接芯片制造厂商和以科研机构、谷歌微软为代表的初级算法提供商，下游对接产品和解决方案的参与者们，比如工业机器人厂商、家电厂商、门禁系统厂商。各应用场景的视觉识别技术探索刚刚起步。人脸识别领域竞争激烈，机器人视觉或将成为下一热点, 各应用场景探索仍待深入。创业公司应与应用场景厂商达成合作，利用算法集成技术优势争取一席之地。

 

At present, a large number of start-ups focus on the technology supply layer, upstream link chip manufacturers and primary algorithm providers represented by scientific research institutions and Google Microsoft, participants of downstream butt products and solutions, such as industrial robot manufacturers, household appliance manufacturers, and door control systems manufacturers. The application of visual recognition technology in various application scenarios is just beginning. In the field of face recognition, competition is fierce. Robot vision will become the next hot spot. Startups should cooperate with application scenario manufacturers and strive for a niche with the advantage of algorithm integration technology.

 

对于机器视觉检测的发展趋势，小编有以下三点预测：

 

For the development trend of machine vision inspection, Xiaobian has the following three points:

 

第一，目前行业的一大趋势是智能前端化，即前端设备就具有人工智能分析的功能;另一个趋势是软硬件一体解决方案更具竞争力，即软件技术很容易被超越，而集成化、软硬件一体的解决方案能更好的满足场景需求，提高技术壁垒。

 

First, one of the major trends in the industry is intelligent front-end, that is, front-end devices have artificial intelligence analysis, and the other is that software and hardware solutions are more competitive, that is, software technology is easily surpassed, and integrated, software and hardware solutions can better meet the requirements of the scene and improve the technology. Barriers.

 

第二，对机器视觉检测创业公司来讲，数据是争夺要点，应用场景是着力关键。由于应用场景的数据对算法模型的训练是非常重要的，未来创业公司要么通过自有平台获取数据，要么选择与拥有数据源的大公司进行合作，同时选择一个商业落地的方向,实现快速的数据循环。

 

Second, for machine vision testing companies, data is the main point of competition, and application scenario is the key. Because the data of the application scene is very important to the training of the algorithm model, the future venture company either obtains data through its own platform or chooses to cooperate with the large company with the source of data, and chooses a commercial landing direction to achieve a fast data cycle.

 

第三，目前机器视觉检测在识别物体上已经有一定的成效。然而，尽管对算法的上层逻辑和原理人是清楚的，但具体到某种数据的训练和学习过程，人们是无法预测无法知晓的。更深入的了解机器认知机理成为下一个重要议题，届时技术将迎来巨大飞跃。

 

Third, machine vision detection has achieved some success in identifying objects. However, although the upper logic and principles of the algorithm are clear, the process of training and learning of certain data is unpredictable. A deeper understanding of the mechanism of Machine Cognition becomes the next important topic, and technology will usher in a great leap forward.