Specifications

Product Family

Edge AI vision processors: TDA4VM (Jacinto 7), AM68A and AM62A

TDA4VM AI Performance

8 TOPS deep learning via the Matrix Multiply Accelerator (MMA)

TDA4VM Architecture

Heterogeneous SoC: C7x DSPs with vector AI extensions, Arm Cortex-A72, real-time MCU cores, GPU, ISP and safety hardware

TDA4VM Safety

ASIL-D functional safety for automotive and industrial robotics

TDA4VM Sensor Fusion

Multi-sensor camera, radar and LiDAR fusion on a single die

AM68A Core

Dual-core Arm Cortex-A72 vision processor with integrated deep-learning accelerators

AM68A Camera Support

Real-time processing of four to eight 2MP cameras

AM62A

Entry vision processor for one- to two-camera edge AI designs

Software Stack

TI Edge AI SDK, TI Deep Learning Library (TIDL) and the TIDLRunner bring-your-own-model flow

Model Support

TensorFlow Lite and optimized models from the TI Edge AI Model Zoo

Starter Kit

SK-TDA4VM: Linux development kit enabling 8 TOPS deep-learning performance

Starter Kit Cameras

Two CSI-2 ports plus a 40-pin connector for up to 8 cameras (with TIDA-01413 fusion card)

Starter Kit I/O

3x USB 3.0 Type-A, 1x USB 3.0 Type-C, Gigabit Ethernet, M.2 Key E and Key M, 4x CAN-FD, 4x UART

Power

Low-power operation suited to fanless and harsh-environment edge systems

Graphics

Integrated GPU and image signal processor for vision pre-processing

Applications

AMR and AGV with functional safety, machine vision stations, smart cameras, edge AI inference boxes and off-highway vehicle controls

Overview

Texas Instruments' edge AI vision processors bring deep-learning acceleration, safety-certified compute and multi-sensor processing onto single heterogeneous SoCs for machine vision, robotics and edge AI inference.

The TDA4VM, built on the Jacinto 7 architecture, integrates an 8 TOPS Matrix Multiply Accelerator, C7x DSPs with vector AI extensions, Arm Cortex-A72 application cores, real-time MCUs, a GPU, an ISP and ASIL-D safety hardware. Originally targeted at ADAS, its combination of AI throughput and functional safety also suits industrial robotics, machine vision and autonomous mobile robots.

The AM68A scales vision processing to as many as eight cameras for industrial and multi-camera designs, while the AM62A addresses one- to two-camera edge AI. The TI Edge AI SDK, TIDL and the SK-TDA4VM starter kit let developers prototype a vision-based application quickly using standard APIs such as TensorFlow Lite.

Key Benefits

Scalable, safety-aware edge AI vision. A single-vendor processor family with a shared TIDL software stack, functional-safety hardware and camera scaling from one to eight sensors simplifies design across machine vision, robotics and edge inference products.

Applications

Machine vision and smart cameras, AMR/AGV and robotics with functional safety, edge AI inference boxes, multi-camera industrial vision, smart retail and off-highway vehicle controls.

Request a Quote — TEXAS INSTRUMENTS EDGE AI PROCESSORS — JACINTO AND AM6XA VISION SOCS

QS Compute — global B2B supply of AI computing hardware, edge AI systems and accelerators. Volume pricing, 15-day sample lead time.

Get Your Quote →

Related Products

DEEPX DX-M1 Hailo-8 M.2 Accelerator NXP Ara240 M.2 EdgeCortix SAKURA-II