TDA4AEN8J5AAMWRQ1

TDA4AEN8J5AAMWRQ1

$44.75
  • Description:AUTOMOTIVE ADAS SOC WITH AI FOR
  • Series:Jacinto™
  • Mfr:Texas Instruments
  • Package:Tape & Reel (TR)

SKU:7dd92fb25efd Category: Brand:

  
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Product Detailed Parameters

  • Description:AUTOMOTIVE ADAS SOC WITH AI FOR
  • Series:Jacinto™
  • Mfr:Texas Instruments
  • Package:Tape & Reel (TR)
  • Core Processor:ARM® Cortex®-A53
  • Number of Cores/Bus Width:4 Core, 64-Bit
  • Speed:1.4GHz
  • Co-Processors/DSP:ARM® Cortex®-R5F, C7x
  • RAM Controllers:LPDDR4
  • Graphics Acceleration:No
  • Display & Interface Controllers:LVDS, MIPICSI2, OLDI
  • Ethernet:10/100/1000Mbps (2)
  • SATA:-
  • USB:USB 2.0 (1), USB 3.1 (1)
  • Voltage - I/O:1.1V, 1.2V, 1.35V, 1.8V, 3.3V
  • Operating Temperature:-40°C ~ 125°C (TJ)
  • Security Features:3DES, AES, DRBG TRNG, MD5, PKA, SHA1, SHA2
  • Mounting Type:Surface Mount
  • Package / Case:594-BFBGA, FCBGA
  • Supplier Device Package:594-FCBGA (18x18)
  • Additional Interfaces:CANbus, DMA, EBI/EMI, I2C, McASP, McSPI, MMC/SD/SDIO, PCIe, QSPI, UART
  • Grade:Automotive
  • Qualification:AEC-Q100

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TDA4AEN8J5AAMWRQ1

Overview

The TDA4AEN8J5AAMWRQ1 is an automotive ADAS SoC from the TDA4AEN series, designed for front camera applications. It features a quad-core ARM Cortex-A53 processor running at a maximum clock frequency of 1.4 GHz with a 64-bit data bus. The device includes 32 kB L1 instruction and data caches, 512 kB L2 cache, and 512 KB data RAM. It supports floating-point operations and interfaces via CAN, I2C, SPI, and UART. Packaged in a 594-ball FCBGA, it operates between -40°C and +125°C and provides 147 I/Os with 14 timers/counters.

Feature Summary

  • Automotive-grade system-on-chip architecture optimized for advanced driver assistance systems
  • Integrated heterogeneous processing capabilities combining application processors with specialized accelerators
  • Supports complex AI algorithms and image classification tasks for real-time sensor data processing

Applications

  • Front-facing camera modules for autonomous driving perception
  • Advanced Driver Assistance Systems (ADAS) requiring low-latency image processing
  • Automotive edge computing nodes for machine learning inference

Procurement Notes

Verify the complete part number including suffixes to ensure correct package, temperature range, and mass production status. Confirm AEC-Q100 qualification requirements match the specific vehicle platform standards. Check for moisture sensitivity level handling instructions during assembly. Validate that the FCBGA-594 footprint matches the PCB design constraints and thermal management specifications.

Selection Notes

Select this component when designing front-camera centric ADAS architectures requiring dedicated AI acceleration alongside general-purpose processing. The quad-core Cortex-A53 configuration balances computational throughput with power efficiency for continuous video stream analysis. Ensure the development environment supports the Jacinto family toolchains and that the 594-ball package fits within the mechanical envelope of the target electronic control unit.

Part Context

This device belongs to the Texas Instruments Jacinto TDA4AEN family, which extends the functionality of the broader TDA4 series. It is specifically tailored for cost-sensitive yet high-performance automotive vision applications. The part integrates hardware accelerators for computer vision tasks, distinguishing it from general-purpose microprocessors by providing optimized throughput for neural network inference and image preprocessing.

Replacement Considerations

Consult official substitution lists for variants within the TDA4AEN family sharing identical pinouts or functional blocks. Verify compatibility with existing software drivers and hardware reference designs before transitioning to alternative SKUs.

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$44.75
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