Improved Profitability Through Visualization and Early Upstream Action

The IoT in the manufacturing industry

物联网（物联网）已成为实现生产工厂可视化的关键概念。物联网是指通过互联网连接各种事物以交换信息并执行相互控制的机制和一般概念。

近年来，生产工厂的网络已经传播。从国际设施开始，全球网络也在扩展，这使得信息的共享更加复杂。作为对这些不同信息进行集成管理的一种方式，对物联网的需求正在增加。

Introducing the IoT into manufacturing worksites enables batch management of the information of various sensors and equipment, the information for the arrival and shipping of products, and the results of inspections in each process; the obtaining of inspection information from within the factory in real time; and the associating of these various types of information. The result is that investigations to determine the causes of problems become smooth. This makes it possible to move away from inspections that find defective workpieces and toward inspections that lead to problem resolution.

为了实现物联网时,它首先是必要的to share information from production worksites (that is, to make this information visible). This is because it is not possible to realize the IoT for the entirety of a factory or company without the on-site inspection information on which production control and traceability guarantees are based. This is where inspections using image processing systems express their capability. With an image processing system, there is no need to manually enter the inspection results. These results can be stored in and managed from a database in an efficient manner. The key to realizing the IoT is the linking of image processing systems and databases.

Linking image processing systems and databases

Realizing visualization at production worksites with the IoT reduces the time it takes to perform investigations to determine the causes of problems, thereby stabilizing production and leading to improved profitability. This results in improved production efficiency and safety as well as traceability guarantees, thereby making it possible to capture the trust of business partners and users. Visualization in production worksites through the use of the IoT is effective in improving the quality (Q), cost (C), and delivery (D) of manufacturing.

Realizing the visualization of inspection results with image processing systems

为了实现生产过程的可视化，有必要使协会，储蓄，管理以及（在任何时候）搜索检查结果。

• When and from where were materials and parts received?
• How are materials and parts stored?
• What materials and parts were combined to produce products?
• Who was in charge of different processes and at what times?
• Who was in charge of an inspection and what were its results?
• Are inspection results and inspection images associated?
• 什么产品运送了？何时？以及其他类似的问题。

Visualization associates, saves, and manages the people, things, and information involved in production processes, making these items searchable. In other words, it leads to the guarantee of traceability.

但是，使用诸如photoelectric sensorsand inspection jigs, it is only possible to determine whether inspection results constitute a pass or fail. It is not possible to determine detailed information such as dimensions and shapes with such tools. Because detailed inspection result information cannot be obtained, it is difficult to investigate concrete improvement plans. With inspections that use image processing systems, it is possible to obtain a variety of information such as dimensions, shapes, and character recognition using OCR technology. This information can also be saved and managed easily. Visualization can be realized by associating this detailed information with its corresponding images and performing management over the entirety of the production processes.

Have you ever experienced any of the following problems?

If even one of these issues applies to you, you may be able to improve your profitability by introducing an image processing system.

通常，为了管理检查结果和存档图像，有必要独立构建数据库。但是，使用“视觉数据库（与CV-X/XG-X系列兼容）”，一个专门为键入图像处理系统设计的数据库，可以将检查结果和存档图像长时间关联并保存，这使得它使得易于搜索使用参数，例如日期或批号。设置配置很简单：只需连接机器视觉系统和PC，然后选择要保存的检查数据即可。该软件通过包装将信息转换为数188bet在线据库，来支持可视化的实现，这通常是要执行的麻烦。

“Vision Database,” a database designed specifically for image processing systems

Easily search for saved data by date

Over one million data entries can be saved, which makes it easy to find the results and image from a given inspection by searching by date.

Management by association with lot numbers and barcodes

OCR technology can be used to perform management by associating images and information such as read lot numbers, barcodes, and 2D codes. It is also possible to perform associations with, manage, and search for kanban data and the barcode search results of other processes, which enables the tracking and tracing of products throughout the entire production process.

Re-tests, analyses, and improvements from past NG product images

It is possible to search for past inspection results and to perform re-tests from NG images. This makes it possible to track down the causes of problems from stored data, which is also effective in improving worksites.

Outputting the monthly NG percentage and detection amount as a report

Inspection results and image data can be associated and analyzed in or output from Excel. Also, monthly reports can easily be created on the basis of the data output from Vision Database.

Example of improved profitability through visualization

本节介绍了一个公式，用于轻松计算通过图像处理系统和数据库“视觉数据库”实现的可视化获得的盈利能力提高。我们希望您在考虑图像处理系统和数据库时使用此公式。

Profitability improvement calculation

矩阵行列式值执行调查所需时间ine the causes of problems x production burst size during such time x product unit cost x frequency of such investigations = profitability improvement

【①】 hours x【②】 items x $【③】 x 【④】 times = profitability improvement of $【 】 /month

Calculation example

A problem that takes 10 hours for the investigation into its cause occurs twice a month. With one such problem, the production of 1,000 products (each having a unit cost of $1) is delayed. What sort of profitability improvement would be obtained by implementing countermeasures quickly with visualization?

10 hours x 1,000 items x $1 x 2 times = $20,000/month

The monthly profitability improvement is $20,000!