EyeQ & Compute

How Mobileye advances animal detection on the road

Explore the challenges of wildlife detection, and how modern ADAS technologies are designed to help handle these unpredictable encounters.

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The unpredictability of animal encounters makes it difficult to collect consistent data for training.

Explore the challenges of wildlife detection, and how modern ADAS technologies are designed to help handle these unpredictable encounters.

Read more

All our blogs

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ADAS

Autonomous Driving

Robotaxi

Physical AI

Computer Vision

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Sensors

Mapping & REM

EyeQ & Compute

Safety

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Leadership & Vision

Amnon Shashua

Humanoids

All blogs

ADAS

Autonomous Driving

Robotaxi

Physical AI

Computer Vision

AI Models

Sensors

Mapping & REM

EyeQ & Compute

Safety

Partnerships

Leadership & Vision

Amnon Shashua

Humanoids

Software embedded in vehicle platforms, which has grown over time to exceed 100 million lines of code.

The shift towards centralized intelligence

Designed to support automakers' wide range of products, from everyday standard-range vehicles to premium models.

The fast lane to higher levels of autonomy with the EyeQ™6 SoC

The heart of our new ECU series is a shared primary board featuring two EyeQ6H chips and an integrated MCU.

Mobileye’s new ECU Series: Modularity from ADAS to AV

EyeQ Kit™ opens up new possibilities for automobile manufacturers using Mobileye's hardware.

EyeQ Kit™ Unlocks the Power of Our System-on-Chip

EyeQ6 High System-on-Chip for premium advanced driver-assistance systems

Meet EyeQ®6: Our Most Advanced Driver-Assistance Chips Yet

Prof. Amnon Shashua delivering his Under the Hood address during CES 2022.

Prof. Shashua Takes Us 'Under the Hood' at CES 2022

100 million Mobileye EyeQ® chips

Celebrating 100 Million EyeQ®s on the Road

The safety of 100 million Mobileye EyeQ® chips

What Drives Us

An illustration of Mobileye's EyeQ device on integrated circuitry

Why TOPs Aren’t Tops When It Comes to AV Processors

Mobileye Embraces the Potential of Linux

Embracing Linux for Safety-Related Applications