Live streaming portal is now open | How TI can develop AI camera applications faster, simpler and at a lower cost

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Live streaming portal is now open | How TI can develop AI camera applications faster, simpler and at a lower cost [Copy link]

Live Topic

How to develop AI camera applications faster, easier and at lower cost

Live broadcast time

Thursday, May 12, 2022, 10:00-11:30 a.m.

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brief introduction

In this webinar, we will introduce how to use Python and C++ API interfaces to quickly develop an embedded edge AI camera application. The C++ API complies with industry standard frameworks and operating environments, such as Gstreamer, OpenCV, TFLite, ONNX-RT and TVM. And based on the above standard interfaces, you can still make full use of the leading vision and deep learning acceleration units on the TDA4VM to achieve high-performance and low-power computing processing.
This webinar will cover the following topics:
Introduction to TDA4VM processor for high-performance and low-power edge AI camera applications
Introduction to TI edge AI SDK architecture
Gstreamer plug-in design
How to connect to a new sensor
How to develop applications
Application demonstrations

Live Guests

Gary Wu
Texas Instruments South China Processor Product Technical Support

Gift Settings

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