Sentence examples for machine vision techniques from inspiring English sources

In [7], several machine vision techniques that could help in easing the search tasks in maritime environment are investigated.

The technology uses machine vision techniques to detect a palm in a video stream and pass its descriptor for enrollment or verification, according to a statement.

In the present study, we propose a new on-line method based on combined machine vision techniques and linear and nonlinear classifiers to categorise chicken portions automatically.

A fractal geometric approach to computer vision is important in the interpretation and recognition of objects that are characterised by their texture and therefore difficult to interpret using conventional machine vision techniques [76].

The most important factors in the procedure toward processing algorithms and machine vision techniques is insertion of intelligent systems in everyday life, so that to this day, robots and other intelligent machines are inserted into the human life.

One possible application that suits these restrictions is precision farming, in which machine vision techniques can be used to target the treatment of small areas of a field or individual plants [22, 23].

We have also adapted the machine vision technique of object-bases image analysis, consisting of segmentation and clustering, to find the set of LTs regions.

The results indicate that the multiple surface topography parameters of the cylinder bore surface could be estimated/predicted with a reasonable accuracy using machine vision technique coupled with ANN.

The aim of this study was to develop a machine vision technique which visually identifies the relevant biomechanical variables attributed to broiler feeding behaviour from high-speed video footages.

The advantages of machine-vision techniques over the conventional techniques based on manual methods for seed quality estimation are also discussed.

To alleviate this situation, we propose to develop a system that can automatically check the compliance of fall protection standards through machine vision and learning techniques to exploit day-to-day site images collected by the surveillance videos and site engineers.