We are located in Québec Canada
We are located in Québec Canada
Who we are
“ Perron Software is a registered business since 2007 and is owned by one person.
The goal of the business is the developpment of innovatives web services that doesn't exist yet or
develop better services than already existing ones. ”
MonEspace.Tv (French) is a new cool, fast, efficient
dating website available in French. (Available soon)
MiEspacio.Tv (Español) is the same dating website, translated in Spanish with hot Latinas and Latinos singles. (Available soon)
xxxxxxx.Tv (English) The address of the English version of our dating website is to be determinated. (Available soon)
In 2009 we launched a new service that
let you know who deleted you on Facebook.
Servers { Linux, Windows Server 2008 }
Electronics:
Ohm Law, Kirchoff's law, Voltage multiplier;regulator , Sound amplifier, Control of stepping motors by computer,
Spy microphone, Radio Frequency Jammer, Control of a computer by a infrared remote control, Repair of
electronics, PIC programming, Hardware of intrusion detection system, Homemade cable tester, Tempest,
Experience with electronics components.
Jobs posting (August 15 2010)
Usted vive en el Perú y que busca un empleo?
Perron Software está buscando personas para aprobar las fotos de los usuarios de nuestro sitio web de citas. Trabajar desde casa, trabajo fácil. Contáctenos
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We are looking for profesionnal in web design.
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We built a very fast search engine
to find duplicates of images on the web. The search engine tells you where on the web a copy of
your images/photos/graphics is present even if they have been modified. The goal of the project is to fight copyrights problems.
The project was initiated before we discover the existance of "Tineye.com" which exactly does the same.
Our benchmarks have shown that our C++ web spider was able to crawl the web and download/fingerprints images at the
speed of 60 images/seconds (around 160 millions fingerprints a month!) VERY FAST with only 1 powerful server
and 2 clients running our multi-thread crawler.
This is faster than the speed of the Tineye crawler.
The problem is that we can tell you which websites uses your images, but only if they have not been modified.
We were unable to find a algorythm as good as what Tineye.com uses.
The best algorythm we found is the Haar wavelength algorithm but the results were too much poluted with
false-positives and it didn't detect images that it should had.
Our crawler is sleeping and if you think you can help us to fix this algorithm problem, then we can
become partner in this project.
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