SPRY344A January 2022 – March 2023 TDA4VM , TDA4VM-Q1
At a glance This white paper explains the requirements for building an efficient edge artificial intelligence (AI) system and how the vision AI processors can help optimize performance due to a heterogenous architecture and scalable AI performance.
|1 Defining AI at the edge|
Defining artificial intelligence at the edge. Many different kinds of systems can benefit from edge AI processing.
|2 What is an efficient edge AI system?|
What is a practical edge AI system? Consider which architecture and cores will best complete the tasks required of a system.
|3 Designing edge AI systems with TI vision processors|
Designing edge AI systems with vision AI processors like the TDA4 and AM6xA systems on chip (SoCs). These SoCs are designed to deliver scalable throughput and computing performance at low power and with lower system BOM costs.