Intelligent Vision and Image Fusion System

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Technological advantages

Multimodal deep fusion

  • Ingests heterogeneous data from visible, IR, mmWave, depth and LiDAR sensors; a Transformer-CNN hybrid backbone extracts cross-modal complementary cues and performs three-level fusion: pixel → feature → decision.

  • Equipped with “feature-level semantic-aware guidance”, the system sets new SOTA on MFNet and M3FD in MI, VIF, SSIM and other key metrics.

    • Hierarchical parallel registration

  • A four-level Gaussian pyramid is built for coarse-to-fine motion estimation; the displacement computed at the top layer is fed to the next layer as an initial offset, cutting iteration counts and mapping naturally to FPGA/ASIC parallel pipelines.

    • Adaptive Fusion Weights

  • Pixel-wise weights are derived from L1 residuals and a saliency map, strongly suppressing motion artifacts. Coupled with a millisecond-scale liquid-lens refocus, the system captures 50 differently focused images in real time and fuses them on the fly, eliminating depth-of-field mismatch.

    • Related performance

    Spatial Resolution

    8K@30 fps single frame
    7680×4320 real-time processing

    Fusion Latency

    End-to-end (capture-to-output) latency

    Signal-to-Noise Ratio

    PSNR > 45 dB
    Extremely low pixel-level distortion

    Structural Fidelity

    SSIM > 0.95
    Structural difference from source < 5 %

    Information Entropy

    EN ↑ 30 %
    30% increase in fused image information content

    Gradient Sharpness

    AG / SF ↑ 25 %
    25% improvement in texture detail clarity

    Application Scenarios

    Covers multiple scenarios, everything you want is here

    Panoramic AR Hawkeye

    8K visible-light + infrared + mmWave radar fusion
    face & license-plate recognition rate ↑ 30 %

    Emergency Command

    AI-driven search-and-rescue decision support for earthquake & fire scenes
    Real-time 3D thermographic mapping

    Industrial Inspection

    Fusion of 4K visible, UV, and depth imagery

    Remote Driving

    Forward-looking fused perception + roadside MEC
    multi-vehicle viewpoints are aggregated and fused directly at the edge node.

    Sports Training

    Fusion of 4K visible, UV, high-speed, and depth streams
    real-time skeletal model with < 20 ms training-feedback latency

    Immersive Sports Broadcasting

    Multi-camera fusion generates free-viewpoint video
    Spectators can enjoy 360° instant replay of every highlight.

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