Lattice mVision
E656343
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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lattice mVision canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7328795 — 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.
Target entity: Lattice mVision Context triple: [Lattice Semiconductor, offersPlatform, Lattice mVision]
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A.
Hexagon DSP
Hexagon DSP is Qualcomm’s proprietary digital signal processor architecture designed to efficiently handle complex multimedia, AI, and signal-processing tasks in mobile and embedded devices.
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B.
Calliope mini
Calliope mini is a small educational microcontroller board designed to teach children and beginners programming and electronics through interactive projects.
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C.
Lattice Semiconductor
Lattice Semiconductor is an American technology company that designs and manufactures low-power, programmable logic devices used in a wide range of electronics and embedded systems.
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D.
PixelSense
PixelSense is Microsoft’s high-resolution, touch- and pen-enabled display technology used in Surface devices for precise, responsive input and vivid visuals.
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E.
Tensilica Xtensa LX6
Tensilica Xtensa LX6 is a customizable 32-bit RISC processor core widely used in embedded systems for its efficient performance and low power consumption, notably in Espressif’s ESP32 SoCs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Lattice mVision Target entity description: 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.
-
A.
Hexagon DSP
Hexagon DSP is Qualcomm’s proprietary digital signal processor architecture designed to efficiently handle complex multimedia, AI, and signal-processing tasks in mobile and embedded devices.
-
B.
Calliope mini
Calliope mini is a small educational microcontroller board designed to teach children and beginners programming and electronics through interactive projects.
-
C.
Lattice Semiconductor
Lattice Semiconductor is an American technology company that designs and manufactures low-power, programmable logic devices used in a wide range of electronics and embedded systems.
-
D.
PixelSense
PixelSense is Microsoft’s high-resolution, touch- and pen-enabled display technology used in Surface devices for precise, responsive input and vivid visuals.
-
E.
Tensilica Xtensa LX6
Tensilica Xtensa LX6 is a customizable 32-bit RISC processor core widely used in embedded systems for its efficient performance and low power consumption, notably in Espressif’s ESP32 SoCs.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
edge AI and embedded vision platform
ⓘ
product ⓘ |
| applicationArea |
IoT edge devices
ⓘ
automotive vision subsystems ⓘ consumer electronics ⓘ industrial automation ⓘ smart cameras ⓘ |
| basedOn | FPGA technology ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| developer | Lattice Semiconductor NERFINISHED ⓘ |
| ecosystem | Lattice sensAI NERFINISHED ⓘ |
| feature |
AI/ML acceleration on FPGA
ⓘ
IP cores ⓘ development boards ⓘ pre-verified hardware and software stacks ⓘ reference designs ⓘ software tools ⓘ support for common image sensors ⓘ support for popular vision interfaces ⓘ |
| includes |
AI model integration flows
ⓘ
Lattice design software support ⓘ vision-specific IP building blocks ⓘ |
| language | English ⓘ |
| manufacturer | Lattice Semiconductor NERFINISHED ⓘ |
| marketedAs |
low-power edge AI vision solution
ⓘ
platform to accelerate embedded vision development ⓘ |
| optimizationGoal |
low latency inference
ⓘ
low power consumption ⓘ small form factor designs ⓘ |
| ownedBy | Lattice Semiconductor NERFINISHED ⓘ |
| supportsFunction |
classification
ⓘ
image signal processing ⓘ interface aggregation ⓘ object detection ⓘ sensor bridging ⓘ |
| supportsHardware |
Lattice CrossLink-NX FPGAs
NERFINISHED
ⓘ
Lattice ECP5 FPGAs NERFINISHED ⓘ Lattice FPGA devices ⓘ Lattice iCE40 FPGAs NERFINISHED ⓘ |
| targetDomain |
computer vision
ⓘ
edge AI ⓘ embedded vision ⓘ |
| targetUseCase |
FPGA-based vision systems
ⓘ
low-power vision applications ⓘ |
| website | https://www.latticesemi.com/mVision ⓘ |
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.
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.
Subject: Lattice mVision Description of subject: 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.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.