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快来欣赏这台视觉检测机器人采摘草莓的有趣视频!

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  我们在比利时的一间种植草莓的温室中看到了一个非常有趣的画面,有一台小型机器人,它穿过生长在支架托盘上的一排排草莓,利用机器视觉检测系统寻找成熟完好的草莓,然后用3D打印的爪子把每一颗成熟的草莓轻轻摘下,放在篮子里。如果机器视觉系统检测到果实还未到采摘的时候,这台机器人会预估其成熟的时间,然后重新过来采摘。
  In a strawberry greenhouse in Belgium, we saw a very interesting picture. There was a small robot. It went through the rows of strawberries growing on the support tray. It used the machine vision detection system to find mature and intact strawberries. Then, with 3D printing claws, we gently picked each ripe strawberry and put it in the basket. If the machine vision system detects that the fruit is not yet ready to be picked, the robot estimates the time it will ripen and then returns to pick.
机器视觉检测系统设备采摘草莓
  这套机器视觉检测系统设备能够取代传统的草莓种植和收割模式,解决了大多数发达国家都面临的农业劳动力短缺的挑战。这台机器人可每五秒钟摘一颗草莓,而人类的速度要稍快,平均每三秒摘一个。
  This machine vision inspection system can replace the traditional strawberry planting and harvesting mode, and solve the challenge of agricultural labor shortage faced by most developed countries. The robot can pick a strawberry every five seconds, while humans can pick one strawberry every three seconds.
  基于成本约束、以及其他采摘草莓的要求开始设计这台机器人。比如,草莓的茎在采摘时不应留在果实上,因为它会在篮子里刺破其他的草莓。当果实开始包装时,更红的一面应该放在上面,以吸引消费者。机器人的视觉系统能够完成这项任务。
  Based on the cost constraints and other requirements for picking strawberries, the robot was designed. For example, the stem of a strawberry should not be left on the fruit when it is picked, because it will prick other strawberries in the basket. When the fruit begins to be packaged, the redder side should be placed on it to attract consumers. The robot's vision system can accomplish this task.
  这台机器人的设计目的是为了与 "桌面" 生长系统配合,即草莓生长在一排排托盘上,而不是田野里,因为这是行业正在发展的方向。在欧洲,温室种植草莓已经成为一种标准方式,生产的草莓大多出口到了美国。
  The robot is designed to work with the "desktop" growth system, where strawberries grow on rows of pallets, not fields, because that's where the industry is heading. In Europe, growing strawberries in greenhouses has become a standard way, and most of the strawberries produced are exported to the United States.
  除了更便于采摘,托盘生长系统还更节水,因为系统只需浇灌草莓周围少量的土壤即可,并且单位面积产量更高。
  In addition to being easier to pick, the tray growth system is also more water-saving because it only needs to irrigate a small amount of soil around the strawberries and has a higher yield per unit area.
  在工业领域,机器视觉技术也已经应用于工业自动化系统中,以取代传统上的人工检查来提高生产质量和产量。从拾取和放置、对象跟踪到计量、缺陷检测等应用,利用视觉数据可以通过提供简单的通过失败信息或闭环控制,来提高整个系统的性能。
  In the industrial field, machine vision technology has also been applied to industrial automation system to replace the traditional manual inspection to improve production quality and output. From picking and placing, object tracking to measurement, defect detection and other applications, visual data can provide simple through failure information or closed-loop control to improve the performance of the whole system.
  视觉的使用并不仅仅在工业自动化领域,我们也看到了相机在日常生活中的大量应用,机器视觉检测系统最基本的特点就是提高生产的灵活性和自动化程度。
  The use of vision is not only in the field of industrial automation, we also see a large number of applications of cameras in daily life. The most basic feature of machine vision detection system is to improve the flexibility and automation of production.
  在一些不适于人工作业的危险工作环境或者人工视觉难以满足要求的场合,常用机器视觉检测系统来替代人工视觉。
  In some dangerous working environment which is not suitable for manual work or artificial vision is difficult to meet the requirements, machine vision detection system is often used to replace artificial vision.
  近年来机器视觉检测系统的快速发展,动态识别能力和抗干扰性都有了大幅度的提升!未来,在一些相对危险的工作环境和重复性较高的工业生产中,机器视觉检测系统的应用将会更加广泛。
  In recent years, with the rapid development of machine vision detection system, the ability of dynamic recognition and anti-interference have been greatly improved! In the future, machine vision inspection system will be more widely used in some relatively dangerous working environment and industrial production with high repeatability.