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Machine perception - Wikipedia, the free encyclopedia

Machine perception

From Wikipedia, the free encyclopedia

In computing, machine perception is the ability of computing machines to sense and interpret images, sounds, or other contents of their environments, or of the contents of stored media.

Real-time perception of a machine's environment is useful in industrial processes, such as assembly, inspection, diagnosis, vehicle guidance, etc. Off-line perception of stored media is useful in medical and aerial photo interpretation, content-based indexing and retrieval of movies and images, etc.

Machine perception includes:[1]

[edit] References

  1. ^ David Manners and Tsugio Makimoto (1995). Living With the Chip. Springer. ISBN 0412616904. 


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