Computer-based machine vision

Optical alignment based on camera systems and computer-based machine vision is a far superior method that can minimize alignment errors down to 10 pm in some cases and can easily be automated. This is critical for very small features used in advanced design rule sets. In a fully automated... 

In addition, there has been a steady increase of odd-shaped devices that include inductors as well as LEDs, surface-mount connectors,etc. The result has been circuit boards with a greater mix of package types and sizes. Consequently, it is considerably less expensive and time-consuming to reprogram a computer-based, machine vision system to recognize these components than it is to retool a machine based on mechanical relays, detents, and such for component placement. 

In present common scenario, sorting and grading of fruit according to maturity level are performed manually before transportation. This manual sorting by visual inspection is labor intensive, time consuming and suffers from the problem of inconsistency and inaccuracy in judgment by different human. Which creates a demand for low cost exponential reduction in the price of camera and computational facility adds an opportunity to apply machine vision based system to assess this problem. 

Y. Zhao, D. Wang, D. Qian, Machine vision based image antilysis for the estimation of Petir external quality, in Second International Cortference on Intelligent Computation Technology... 

Yen, S.S. and Kondraske, G.V. 1992. Machine shape perception object recognition based on need-driven resolution flexibility and convex-hull carving. In Proc. Conf. Intelligent Robots Computer Vision X Algorithms Techniques, SPIE, 1607 176-187. 

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