Eyeq4 Datasheet ^new^ Access

[8x Camera Inputs] → [ISP / Image Preprocessor] → [CNN Accelerator] → [Vector Cores] → [Fusion & Decision] ↓ ↓ ↓ [SRAM 2.5MB] [Safety CPU (lockstep)] [External LPDDR4]

This heterogeneous architecture allows different algorithms to run on the most efficient core for the task, saving both time and energy.

Thanks to the SOI substrate and a highly optimized architecture, the EyeQ4 achieves ten times the processing power of the EyeQ3 while consuming only about 20% more power. It operates at an incredibly conservative thermal design power (TDP) of just , fitting seamlessly into the strict power envelope required by automotive ADAS cameras. Physical Specifications and Packaging

The EyeQ4's computing power comes from a complex, heterogeneous architecture specialized for vision tasks. eyeq4 datasheet

: Supports various interfaces for connecting to sensors (cameras, radar, lidar), and other components of the vehicle's system. It also includes support for high-bandwidth memory to handle the data-intensive tasks.

The parallel processing capacity of the EyeQ4 allows vehicles to read and decipher multi-directional road scenes using advanced neural networks.

💡 : For specific implementation, designers often pair the EyeQ4 with a dedicated power management unit like the TI LP875761-Q1 to handle the SoC's core rail requirements. [8x Camera Inputs] → [ISP / Image Preprocessor]

The EyeQ4 datasheet provides an in-depth look at the SoC's architecture, features, and specifications. Here are some key highlights:

The EyeQ4 is built on a heterogeneous architecture that utilizes specialized cores for different computer vision tasks to maximize efficiency.

Last updated: October 2024. Specifications subject to change by manufacturer. The parallel processing capacity of the EyeQ4 allows

Improved classification of pedestrians, cyclists, and vehicles from any angle, which is essential for Autonomous Emergency Braking (AEB).

The Mobileye EyeQ4 Go to product viewer dialog for this item.

The EyeQ4 is programmable via standard C compilers for the vision accelerators. Instead, Mobileye provides the EyeQ Software Development Kit (SDK) which includes:

Understanding the EyeQ4: Technical Overview, Specifications, and Architecture