#CodeProject AI
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Experimenting with Blue Iris, CodeProject AI, Intel, and Nvidia GPUs
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Agent DVR....8 cameras all at minimum 5mp cams....test ran for entire day without powering down on an i5 3400ghz with 32 GB ram....not one problem. (side by side with CodeProject AI Server on the same pc)
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ChatBot: Chatbot à intelligence artificielle (IA) - CodeProject
ChatBot: Chatbot à intelligence artificielle (IA) – CodeProject
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Qu’est-ce qu’un chatbot AI?
Un chatbot IA (Intelligence Artificielle) est un programme informatique qui simule un chat humain avec d’autres humains. Avec l’architecture TANU (Transplantable Artificial Neurological Units), vous pouvez créer, former et déployer votre chatbot AI sur N’IMPORTE QUEL réseau de chat IRC ou non IRC. Cela signifie que…
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Build Simple AI .NET Library - Part 4 - Beyond Perceptron - CodeProject - https://t.co/Tw5Bf9i2Kk
— Cristian Randieri (@C_Randieri) September 18, 2017
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Utilizing Amcrest AI cams....hint the AI part....they have it already built in....before you dev into CodeProject AI....
So for an existing Amcrest AI cam....with IVS rules...
= AI + AI
It's adding a filter after Amcrest AI determines the object is a person or vehicle....then IF CodeProject AI Object Recognition determines it is....then it triggers the Alert....
Because the Amcrest Cams have integrated AI....this lowers the usage of CodeProject AI Server.....it only runs object recognition on the output of an IVS perimeter breach.....now keep in mind the Amcrest cams themselves have NO LIMITATIONS on their FPS....they have built in AI with IVS.....so setting agent DVR to use a low fraame rate at high resolution....and skip to motion can make an i5 with 32 GB RAM....A SUPER BEAST KILLING MACHINE IN A LAND OF DWARFS!!!
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Build Simple AI .NET Library - Part 3 - Perceptron - CodeProject - https://t.co/OqqIWY09eP
— Cristian Randieri (@C_Randieri) September 17, 2017
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