EyeQ system-on-chip
E660943
EyeQ system-on-chip is Mobileye’s specialized automotive processor platform designed to power advanced driver-assistance systems and autonomous driving functions.
All labels observed (1)
| Label | Occurrences |
|---|---|
| EyeQ system-on-chip canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7387654 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EyeQ system-on-chip Context triple: [Mobileye Global Inc., hasProduct, EyeQ system-on-chip]
-
A.
Iris visual processor
Iris visual processor is a display processing technology from Pixelworks designed to enhance image quality, color accuracy, and visual performance in electronic devices such as smartphones and TVs.
-
B.
Pixelworks
Pixelworks is a semiconductor company known for designing and marketing video and display processing solutions for consumer electronics and digital projection devices.
-
C.
Lattice mVision
Lattice mVision is an edge AI and embedded vision platform from Lattice Semiconductor designed to accelerate development of low-power, FPGA-based computer vision applications.
-
D.
Solid-State Imaging camera
The Solid-State Imaging camera was the primary optical imaging system on NASA's Galileo spacecraft, designed to capture high-resolution images of Jupiter and its moons using a CCD-based detector.
-
E.
Snapdragon system-on-chip
The Snapdragon system-on-chip is a family of mobile processors widely used in smartphones and other devices, integrating CPU, GPU, modem, and other components to deliver high performance and power efficiency.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EyeQ system-on-chip Target entity description: EyeQ system-on-chip is Mobileye’s specialized automotive processor platform designed to power advanced driver-assistance systems and autonomous driving functions.
-
A.
Iris visual processor
Iris visual processor is a display processing technology from Pixelworks designed to enhance image quality, color accuracy, and visual performance in electronic devices such as smartphones and TVs.
-
B.
Pixelworks
Pixelworks is a semiconductor company known for designing and marketing video and display processing solutions for consumer electronics and digital projection devices.
-
C.
Lattice mVision
Lattice mVision is an edge AI and embedded vision platform from Lattice Semiconductor designed to accelerate development of low-power, FPGA-based computer vision applications.
-
D.
Solid-State Imaging camera
The Solid-State Imaging camera was the primary optical imaging system on NASA's Galileo spacecraft, designed to capture high-resolution images of Jupiter and its moons using a CCD-based detector.
-
E.
Snapdragon system-on-chip
The Snapdragon system-on-chip is a family of mobile processors widely used in smartphones and other devices, integrating CPU, GPU, modem, and other components to deliver high performance and power efficiency.
- F. None of above. chosen
Statements (59)
| Predicate | Object |
|---|---|
| instanceOf |
automotive system-on-chip
ⓘ
hardware platform ⓘ |
| architecture | heterogeneous multi-core ⓘ |
| countryOfOrigin | Israel NERFINISHED ⓘ |
| deploymentEnvironment | in-vehicle embedded systems ⓘ |
| designedFor |
automotive-grade reliability
ⓘ
functional safety ⓘ low power consumption ⓘ real-time processing ⓘ |
| developer | Mobileye NERFINISHED ⓘ |
| firstVersionReleaseYear | mid-2000s ⓘ |
| hasVersion |
EyeQ1
NERFINISHED
ⓘ
EyeQ2 NERFINISHED ⓘ EyeQ3 NERFINISHED ⓘ EyeQ4 NERFINISHED ⓘ EyeQ5 NERFINISHED ⓘ EyeQ6 NERFINISHED ⓘ |
| includesComponent |
CPU cores
ⓘ
hardware security modules ⓘ image signal processor ⓘ neural network accelerators ⓘ vision processing accelerators ⓘ |
| industry |
advanced driver-assistance systems
ⓘ
automotive ⓘ semiconductors ⓘ |
| manufacturer | Mobileye NERFINISHED ⓘ |
| notableCustomer |
BMW
NERFINISHED
ⓘ
Ford NERFINISHED ⓘ General Motors NERFINISHED ⓘ Nissan NERFINISHED ⓘ Volkswagen Group NERFINISHED ⓘ |
| optimizedFor |
computer vision algorithms
ⓘ
deep learning inference ⓘ |
| ownedBy | Intel via Mobileye ⓘ |
| powerEfficiency | high ⓘ |
| safetyGoal |
enable higher levels of driving automation
ⓘ
support hands-free driving under supervision ⓘ |
| supportsFeature |
adaptive cruise control
ⓘ
automated lane change ⓘ automatic emergency braking ⓘ collision warning ⓘ highway assist ⓘ lane keeping assistance ⓘ pedestrian detection ⓘ surround view processing ⓘ traffic sign recognition ⓘ |
| supportsStandard |
ASIL levels
ⓘ
automotive functional safety standards ⓘ |
| targetMarket |
original equipment manufacturers
ⓘ
tier-1 automotive suppliers ⓘ |
| useCase |
advanced driver-assistance systems
ⓘ
autonomous driving ⓘ computer vision processing ⓘ driving policy computation ⓘ path planning ⓘ sensor fusion ⓘ |
| usedIn |
commercial vehicles
ⓘ
production passenger vehicles ⓘ robotaxis ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: EyeQ system-on-chip Description of subject: EyeQ system-on-chip is Mobileye’s specialized automotive processor platform designed to power advanced driver-assistance systems and autonomous driving functions.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Mobileye Global Inc.