视觉检测系统是如何实现产品自动化分拣的

发布时间:

2023-02-10 11:30

  今年受到新冠疫情的影响,人们的消费模式更加倾向于线上消费,与往年相比,在线上订单量暴涨的同时,如何快速实现物流自动化分拣成为物流行业需要思考的一个问题。视觉检测系统的引入能够有效帮助物流企业实现自动化分拣提高工作效率。
  This year, affected by the new crown epidemic, people's consumption mode is more inclined to online consumption. Compared with previous years, with the rapid increase of online orders, how to quickly realize automatic sorting of logistics has become a problem that the logistics industry needs to consider. The introduction of visual inspection system can effectively help logistics enterprises to achieve automatic sorting and improve work efficiency.
  自动化分拣能够实现在无人操作的情况下完成分拣任务,提高分拣效率,降低人工成本,由此可见,视觉检测系统在物流自动化分拣过程中起着至关重要的作用,其具备的有点为快速发展的物流行业的自动化分拣开创了新的篇章,物流行业正从人工分拣向智能化、自动化方向快速演进。
  Automatic sorting can complete the sorting task in the case of unmanned operation, improve the sorting efficiency and reduce the labor cost. Thus, the visual inspection system plays an important role in the process of logistics automatic sorting. Its advantages have opened a new chapter for the rapid development of the logistics industry. The logistics industry is moving from manual sorting to intelligent sorting The direction of automation is evolving rapidly.
  物流自动化机器人完成的每一道程序,都带来人力成本的下降和工作效率的提高。目前在仓库中,机器人主要可以在分拣、搬运、堆垛等方面代替人工。不同类型的分拣机器人无论外形如何,都带有图像识别系统,通过磁条引导、激光引导、超高频RFID引导以及机器视觉检测识别技术,分拣机器人可以自动行驶,“看到”不同的物品形状之后,机器人可以将托盘上的物品自动运送到指定的位置。
  Each procedure completed by logistics automation robot brings about the decrease of labor cost and the improvement of work efficiency. At present, in the warehouse, the robot can mainly replace the manual in sorting, handling, stacking and so on. Different types of sorting robots, regardless of their shape, are equipped with image recognition system. Through magnetic stripe guidance, laser guidance, UHF RFID guidance and machine vision detection and recognition technology, the sorting robots can automatically travel, "see" different shapes of objects, the robots can automatically transport the items on the tray to the designated location.
  自动分拣机器在接受运送指令后,通过视觉扫描技术,按照商品的品种、材质、重量以及发往的地点进行快速的分类,然后将货物送到指定的货架上或出货站台处。与此同时,机器人也可以在最短时间内将货架上的商品配送到不同的站台向外运输。这样便可以极大缩短快递发货周期,提高服务水平。
  After receiving the delivery instructions, the automatic sorting machine can quickly classify the goods according to the variety, material, weight and destination of the goods through the visual scanning technology, and then send the goods to the designated shelves or delivery platforms. At the same time, the robot can also deliver the goods on the shelf to different platforms in the shortest time. This can greatly shorten the delivery cycle of express delivery and improve the service level.
  在疫情的影响催化下,依赖人工作业的传统分拣遭遇挑战,这就需要物流行业尽快做出改变,传统的分拣模式已经不能满足如此巨大数量的包裹分拣任务,适时引入视觉检测系统能够有效帮助物流行业实现自动化分拣的工作任务,助力企业走出困境,迎来新的曙光。
  Under the influence of the epidemic situation, the traditional sorting relying on manual operation encounters challenges, which requires the logistics industry to make changes as soon as possible. The traditional sorting mode can no longer meet such a large number of parcel sorting tasks. Timely introduction of visual inspection system can effectively help the epidemic industry to achieve automatic sorting tasks, help enterprises out of difficulties and usher in a new dawn 。

视觉检测系统,自动化分拣