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Machine Vision

Provides imaging solutions for optimal visual inspection system.

본, 이미지는 머신비전 검사 프로세스를 구현한 이미지로 머신비전은 고성능 카메라, 이미지 프로세서, 소프트웨어 등의 구성요소로 이루어진 시스템입니다. 카메라, 렌즈, 조명을 이용하여 적절한 이미지를 획득한 후, 획득한 이미지를 이미지 프로세서, 소프트웨어가 수행작업 의 목적에 적합하게 영상처리, 영상 분석의 과정을 거쳐 특정작업을 수행할 수 있는 판단을 제공합니다.

Machine vision is a system consisting of a high-performance camera, an image processor and a software. Cameras, lenses and/or lighting are used to acquire a suitable image, which is then processed by the image processor and software through image processing and image analysis procedures to make it suitable for the intended purpose, and finally a decision is reached that allows a specific action to be taken. To summarize, machine vision systems are designed to replace the human eyes to carry out a series of inspection tasks, and are capable of working tirelessly in environments unsuitable for humans, at micrometer scale precision, and with extremely fast processing.

Business divisions

  • 01Displays
    Flat Panel Display

    Flat Panel Display

    A flat panel display consists of multiple layers of glass panels, semiconductors, metallic components, and polarizing films and is manufactured through a multiple sequence of etching and electro chemical process. As the customers demand for higher performance and lower price for display products increases, the manufacturers must improve the quality and yield continuously; thus manufacturers find automated visual inspection the most effective and efficient alternative.
    Manufacturers are switching to 100% total inspection of all manufacturing processes for panels, and strive to increase the frequency and accuracy of the inspections while minimizing the time required for the inspections at the same time.

  • 02Semiconductors


    To improve the yield, which directly affects the production cost of semiconductors, semiconductor manufacturers have been spending significant time and investments on the early detection of production defects by performing various quality inspections on each of the manufacturing stages from the bare wafer to the packaged IC. As the degree of integration of semiconductors increases, the accuracy required of automated visual inspection systems also increases; the automated visual inspection equipment used in all processes is capable of detecting miniscule defects on a sub-micron level. At the core of automated visual inspection equipment for semiconductors are the simultaneous needs for the effective detection of the defects in the products that affect the yield and the minimization of the time required for inspection; for this reason, the processing rate of automated visual inspection equipment is emerging as a major issue.

  • 03Electronic components


    Inspection of electronic components includes bare PCB inspection, solder paste inspection, populated board inspection (post-reflow), automated X-ray inspection, and other automated optical inspections for each manufacturing stage of products. To improve the quality of manufactured electronic components, manufacturers continuously increase inspection items for each manufacturing stage for early detection of defects that affect the yield. As the size of components decreases, inspection systems with ever increasing resolution are called for, and the system speed is also continuously increasing to minimize the time required for inspection.

Business concept  Solution partner

Our goal is not simply supply a good product, it is to help customers successfully develop the system.

Envision aims for the orchestrator model.
The orchestrator model is the most efficient business model for providing optimal solutions to customers, by determining the value chain of the entire market and assigning effective roles to the internal research, development, and marketing resources as well as to the external manufacturing and development resources. This model was introduced in the B2B Marketing of the Boston Consulting Group, and its key adopters include Dell Computer and Misumi.

<New Business Model through Reforming the Value Chain; Hideaki Imamura, 『B2B Marketing of the Boston Consulting Group』, p. 72, Business Map, 2005>