DX-V3
perceptive, and everywhere
Overview
The DX-V3 is not simply a chip — it is the eye of the intelligent world. Delivering 13 TOPS of AI performance at only 5W, DX-V3 brings the sharpness of perception once confined to powerful systems into the smallest, most efficient form.
By uniting AI computation, image and video processing, and connectivity into one platform, DX-V3 eliminates fragmentation and makes perception both sustainable and universal. It is not just hardware — it is the compact eye of Physical AI that enables trust, vigilance, and progress everywhere.
Features | Details |
|---|---|
Processor | Up to 13 TOPS (INT8) for real-time AI inference |
Signal Interface | Quad-core Cortex-A53 CPU @ 1.2GHz
|
Full Linux OS support | |
Power | Integrated 12MP ISP with 3A (AE/AF/AWB), and noise reduction
|
Supports H.264/H.265 encoding/decoding up to 4K@60fps | |
Operating | Captures video from 4x MIPI CSI-2 and legacy BT.656/1120 input
|
Output via MIPI DSI, CSI, and parallel interface for display or streaming | |
High-Speed I/O & Storage | Includes USB 3.0, Gigabit Ethernet, and SD/eMMC interface |
Edge AI Integration | All-in-one SoC optimized for compact, real-time edge AI vision |
DSP | 75 GFLOPS (SLAM/Radar support) |
Key Benefits
Complete Standalone Vision ProcessingDX-V3 performs complete AI inference, video processing, and spatial computation independently, delivering processed results directly without relying on host CPU resources or cloud connectivity.
Dramatically Reduce System CostsDX-V3 enables comprehensive visual perception that reduces dependence on costly LiDAR and depth sensors. The integrated single-chip design eliminates multiple processors, cutting both hardware complexity and total system costs.
Maximize Efficiency, Minimize PowerIndustry-leading 13 TOPS at just 5W provides over 2x better performance-per-watt than competing vision processors. This ultra-efficient design significantly extends battery life for robotics, and autonomous platforms.
Accelerate Time-to-MarketDXNN® SDK's seamless compatibility with customer’s AI models enables instant migration. Deploy proven ONNX/TensorFlow algorithms without rewrites—from prototype to production rapidly.
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