20-09-2014, 11:17 AM
Data Compression And Encoding
Using Colours
[attachment=68218]
Introduction
Data compression
It is a way to reduce the no. of bits in a frame but retaining its meaning.
- decreases space
- decreases time to transmit
Data encoding
It means transforming data to another format with schemes that publicly available.
Barcode System
A barcode is an optical machine-readable representation of data relating to the object to which it is attached.
Originally barcodes systematically represented data by varying the widths and spacings of parallel lines, and may be referred to as linear or one-dimensional
Advantages
Color code defines more numbers than barcode.
Compactness
Efficiency
Data in color code is more reliable.
Data scanning time is also less.
Data security.
Data encoding.
Data compression.
Applications
Color code defines more numbers than barcode.
Large amount of data can be printed on small space and can be retrieved back effectively.
Data compression is done by maintaining a data base and sending templates which represent the word.
Conclusion
Color sensors can completely replace barcode readers.
Data transferred is more secured.
Thus data compression using this technology is more efficient and error free.
They are the future because there is no limitation number of colors and as technology advances, more number of colors can be defined more precisely from the same RGB cube.
Using Colours
[attachment=68218]
Introduction
Data compression
It is a way to reduce the no. of bits in a frame but retaining its meaning.
- decreases space
- decreases time to transmit
Data encoding
It means transforming data to another format with schemes that publicly available.
Barcode System
A barcode is an optical machine-readable representation of data relating to the object to which it is attached.
Originally barcodes systematically represented data by varying the widths and spacings of parallel lines, and may be referred to as linear or one-dimensional
Advantages
Color code defines more numbers than barcode.
Compactness
Efficiency
Data in color code is more reliable.
Data scanning time is also less.
Data security.
Data encoding.
Data compression.
Applications
Color code defines more numbers than barcode.
Large amount of data can be printed on small space and can be retrieved back effectively.
Data compression is done by maintaining a data base and sending templates which represent the word.
Conclusion
Color sensors can completely replace barcode readers.
Data transferred is more secured.
Thus data compression using this technology is more efficient and error free.
They are the future because there is no limitation number of colors and as technology advances, more number of colors can be defined more precisely from the same RGB cube.