SoC processors for ADAS and automatic parking

Mouser now stocks the TDA4VE, TDA4AL, and TDA4VL SoC processors from Texas Instruments. The SoC processors, created for smart vision camera applications, support advanced automotive functions, including ADAS and automatic parking. The SoC processors also supply an ideal solution for machine vision, industrial transport, retail automation, and security and surveillance applications.

The SoC processors are based on the evolutionary Jacinto 7 architecture and incorporate dedicated deep learning and traditional algorithm accelerators. These devices feature two C7x floating point vector DSPs, up to six Arm Cortex-R5F microcontrollers, and a dual 64-bit Arm Cortex-A72 microprocessor subsystem. The integrated Matrix Match Acceleration deep learning accelerator allows performance up to 8 TOPS within the lowest power envelope in the industry when working at the typical automotive worst-case junction temperature of 125C. The dedicated vision hardware accelerators supply vision pre-processing without impacting system performance.

These high-performance SoC processors SoCs deliver industry-leading power-to-performance ratios, providing scalability and affordable costs for advanced vision camera applications. The SoC processors also feature an integrated next-generation imaging subsystem, video code, and isolated MCU island, eradicating the necessity for an external system microcontroller. The SoC processors provide multiple high-speed serial interfaces, including a PCI-Express Gen3 controller, a USB 3.0 dual-role device subsystem, two CSI2.0 4L RX interfaces, and two CSI2.0 4L TX interfaces.

The SoC processors include protection by automotive-grade safety and security hardware accelerators. Integrated diagnostics and safety features support operations up to ASIL-D levels, while the integrated security features protect data against modern-day attacks. Select part numbers offers an embedded hardware security module, crypto hardware accelerators, and an embedded hardware security module.