This device simply translates the captured image to usable bits. Speed is necessary here so that a response is given quickly. The speed will depend on the capacity of the computer, the complexity of the image, and the type and quantity of information desired from it. The system and software should be optimized for the specific application so that the necessary frame grabber programs, algorithms, accelerators that interface with the CPU, and application software are adequate. Among the software available are NeuroCheck, a general-purpose image-processing system for industrial quality control; Eurosys, suitable for industrial machine vision; HACCON, which is flexible and gives high performance for research and education; and WiT, for image-processing development (2). WiT, along with VPE, ProtoPIPE, VPM, and Concept Vi, allow the user to pick the image-processing icon, drag it to the workspace canvas, connect I/Os using links, and define operator-specific parameters (7).
Choosing specifications for an MVS requires answers to the following questions (4):
1. How many parts must be processed or inspected per unit time?
2. Which and how many distinguishable features are there?
3. What environmental factors are present?
4. What level of technical knowledge is available on the floor?
Figure 3. Components of a machine vision system.
5. Who will install, program, maintain, and integrate the system?
6. Will any other machines or components be interfaced with the vision system?
7. What are the upgrade and flexibility requirements?
8. What is the budget?
On the other hand, lack of need for precision of part appearance, poor visual access, or poor visibility due to the environment are key factors in not choosing an MVS (8).
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