Press release
TI unlocks scalable edge AI performance in smart camera applications with new vision processor family
Designers can easily and affordably add vision and AI processing for up to 12 cameras in building, industrial and retail automation applications DALLAS, March
About this update from Texas Instruments Incorporated
[{"type":"text","content":"Designers can easily and affordably add vision and AI processing for up to 12 cameras in building, industrial and retail automation applications\n\n\nDALLAS, March 15, 2023 /PRNewswire/ -- To build on innovations that advance intelligence at the edge, Texas Instruments (TI) (Nasdaq: TXN) today introduced a new family of six Arm® Cortex®-based vision processors that allow designers to add more vision and artificial intelligence (AI) processing at a lower cost, and with better energy efficiency, in applications such as video doorbells, machine vision and autonomous mobile robots.\n\n \n \n \n \n \n \n\n \nThis new family, which includes the AM62A, AM68A and AM69A processors, is supported by open-source evaluation and model development tools, and common software that is programmable through industry-standard application programming interfaces (APIs), frameworks and models. This platform of vision processors, software and tools helps designers easily develop and scale edge AI designs across multiple systems while accelerating time to market. For more information, see www.ti.com/edgeai-pr.\n\"In order to achieve real-time responsiveness in the electronics that keep our world moving, decision-making needs to happen locally and with better power efficiency,\" said Sameer Wasson, vice president, Processors, Texas Instruments. \"This new processor family of affordable, highly integrated SoCs will enable the future of embedded AI by allowing for more cameras and vision processing in edge applications.\"\nScalable AI camera performance at the edge with vision processors\nTI's new vision processors bring intelligence from the cloud to the real world by eliminating cost and design complexity barriers when implementing vision processing and deep learning capabilities in low-power edge AI applications.\nThese processors feature a system-on-a-chip (SoC) architecture that includes extensive integration. Integrated components include Arm Cortex-A53 or Cortex-A72 central processing units, a third-generation TI image signal processor, internal memory, interfaces, and hardware accelerators that deliver from 1 to 32 teraoperations per second (TOPS) of AI processing for deep learning algorithms.\nVision processors in this family include the:\nAM62A3, AM62A3-Q1, AM62A7 and AM62A7-Q1, which support one to two cameras at less than 2 W in applications suc...