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Overview:

The AM6231ATCGHAALW processor is an Internet of Things (IoT) and gateway SoC with object and gesture recognition based on Arm® Cortex-A53.

The low-cost AM62x Sitara™ MPU family of application processors is built specifically for Linux® application development. With scalable Arm® Cortex®-A53 performance and embedded features, such as dual display support and 3D graphics acceleration, as well as a broad set of peripherals, AM62x devices are well suited for a wide range of industrial and automotive applications, while also providing intelligent functionality and an optimized power architecture.

Product: AM6231ATCGHAALW

Type: AM62x Sitara™ processor

Package: FCCSP-425

Common connection features:

9 Universal Asynchronous Receivers/Transmitters (UART)

5 Serial peripheral interface (SPI) controllers

6 internal integrated circuit (I2C) ports

3 multi-channel audio serial ports (McASP)

Transmit and receive clocks up to 50MHz

Up to 16/10/6 serial data pins on 3 McAsps with separate TX and RX clocks

Time Division multiplexing (TDM), internal IC sound (I2S) and similar formats are supported

Support for digital audio interface transmission (SPDIF, IEC60958-1 and AES-3 formats)

FIFO buffer for sending and receiving (256 bytes)

Support audio benchmark output clock

3 Enhanced PWM Modules (ePWM)

3 Enhanced Quadrature Encoder Pulse Modules (eQEP)

3 Enhanced Capture Modules (ECaps)

Universal I/O (GPIO), all LVCMOS I/ OS can be configured as GPIO

3 Controller Area Network (CAN) modules supporting CAN-FD

Complies with CAN protocol 2.0A, B and ISO 11898-1 standards

Full support for CAN FD (up to 64 bytes of data)

Parity /ECC check of message RAM

Speeds up to 8Mbps

Applications:

Human Machine Interface (HMI)

Retail automation

Drive Monitoring System (DMS/OMS)/In-Cabin Monitoring (ICM)

Telematics Control Unit (TCU)

3D point cloud

Vehicle-to-infrastructure/Vehicle-to-vehicle (V2X/V2V)

3D reconfigures the automotive instrument cluster

Home appliance user interface and connectivity

Medical equipment