AI/AR 硬件专用芯片
支持多种空间计算终端与AP架构
-
Industry-Leading
Image Quality -
16MP Photography
| 4K 30fps Recording
Power Management for All-Day AI Supports16 hoursof always-on AI functionality
260mWUltra-Low Power Consumption For 1080p 30fps recording
200msUltra-Fast Capture
Dual-Chip
Architecture
SolutionSupports MCU/TWS SoC
-
End-to-End Image
ProcessingFor spatial vision / hand-eye interaction
4.2mm Thinnest
Single-Side LengthCan be placed at the nose bridge of glasses
4-Channel
CamerasFor spatial vision / hand-eye interaction
Hand-Eye
InteractionMass-producible eye/hand algorithms; supports event/array camer
MMA(Multi-Modal-Activation) Intelligent scene recognition
-
Supports Various
Innovative AI
Hardware- Ultra-light
AI/AR glasses - AI Earbuds
- AAI Agents
- Ultra-light
-

- Photography & Videography16MP, 4K@30fps
3rd-Gen High-Quality Self-Developed ISP
Ultra-Fast Capture: 200ms
Supports 4-Channel Cameras - Ultra-Low Power Consumption16MP, 4K@30fps
3rd-Gen High-Quality Self-Developed ISP
Ultra-Fast Capture: 200ms
Supports 4-Channel Cameras
-

- All-Day AIUltra-low-power dedicated hardware subsystem Edge-side low-power NPU
Multi-Modal-Activation & intelligent scene recognition - Hand-Eye InteractionUltra-low-power dedicated hardware subsystem Edge-side low-power NPU
Multi-Modal-Activation & intelligent scene recognition - End-to-End ISP SolutionUltra-low-power dedicated hardware subsystem Edge-side low-power NPU
Multi-Modal-Activation & intelligent scene recognition
ISP Image Quality Samples:
G-VX100 on AI Glasses camera
-
GravityXR I VX100IMX681 -
GravityXR | VX100IMX681 -
GravityXR I VX100IMX681
Image Quality Advantages: Noise Reduction, High Dynamic Range, Color Reproduction, Sharpness
MMA: Multi-Modal-ActivationTechnology
Function
Calorie Calculation

- InputRGB Image
- AlgorithmCV / Large Model AI
- FunctionChewing Detection
- InputIMU / MIC
- AlgorithmMLP
- Power Consumption<10mW
- FunctionObject Recognition
- Input1fps RGB Image
- AlgorithmCNN
- Power Consumption<30mW
- FunctionWireless Transmission
- -
- -
- Power Consumption20 ~ 200mW


