I want to know what algorithm is running behind the object detection and speech recolonization, by which phases the phenomena will occur kindly guide me ?
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What Algorithm Exist Behind Object Detection, Speech Recongnization
Related Hardware (view all EZB hardware)
JD Humanoid
by EZ-Robot
JD Humanoid with Synthiam ARCx: pose, animate, walk, voice, vision, and AI control from any browser.
Wi-Fi / USB
Servos
24
Camera
Audio
UART
3
I2C
ADC
8
Digital
24
Online speech recognition controls/plugins: Google, IBM (Watson), Microsoft (Bing/Cognitive Services)
Offline speech recognition controls/plugins: Speech Recognition (Microsoft Windows SAPI) Total Speech Recognition (Microsoft Windows SAPI)
Maybe I'm missing something in your question.
Dear, What about 1)Object Detection 2)Face Detection or recognization 3)Learning/Training process ? Whats the flow and algorithm behind the Phenomena?
There’s manuals to learn how to use the features you’re inquiring about in ARC. Here’s links with tutorials to get you started...
Camera device: https://synthiam.com/Products/Controls/Camera/Camera-Device-16120
cognitive vision: https://synthiam.com/Products/Controls/Camera/Cognitive-Vision-16211
generally, all controls have little tutorials you can browse to see how to use them in your ARC project.