LockMagic Web Portal
| Metric | Gen-3 | IMX990 | CNN | ELLI-NOVA | |--------|-------|--------|-----|-----------| | PSNR (dB) | 18.2 | 22.1 | 28.4 | | | SSIM | 0.42 | 0.58 | 0.81 | 0.94 | | Color accuracy (ΔE2000) | N/A | 32.4 | 18.1 | 5.3 | | Dynamic range (stops) | 6 | 12 | 14 | 21 | | Latency (ms) | <1 | 45 | 32 | 11 |
Conventional Night Vision Goggles (NVGs) rely on image intensifier tubes or active illumination (infrared), which suffer from limited dynamic range, blooming under bright light, and inability to perceive color in low light. We introduce (Enhanced Low-Light Imaging via Neural-Optical Variational Adaptation), a hybrid hardware-software system that redefines NVG performance. The system combines a custom low-noise single-photon avalanche diode (SPAD) array, a liquid-crystal tunable filter for spectral modulation, and a real-time recurrent variational autoencoder (rVAE) trained on a novel photonic distribution dataset. Our method achieves a signal-to-noise ratio (SNR) improvement of 18.3 dB over Gen-3 image intensifiers at 0.001 lux, recovers natural color under starlight, and eliminates halo artifacts. We present the first complete theoretical and engineering treatment of a fully digital, AI-optimized NVG system—enabling pilots, soldiers, and astronomers to see near-daylight quality at night.
This is just a draft feature, and the actual specifications and features of Elli Nova NVG may vary depending on the manufacturer's goals and requirements.
[4] US Army CERDEC. "Performance standards for night vision goggles." MIL-STD-3009G, 2022.
A. Ellington, L. Nováková, & J. G. Vann (Fictional Affiliations: MIT Media Lab, Fraunhofer IOSB, and DARPA DSO)
| Metric | Gen-3 | IMX990 | CNN | ELLI-NOVA | |--------|-------|--------|-----|-----------| | PSNR (dB) | 18.2 | 22.1 | 28.4 | | | SSIM | 0.42 | 0.58 | 0.81 | 0.94 | | Color accuracy (ΔE2000) | N/A | 32.4 | 18.1 | 5.3 | | Dynamic range (stops) | 6 | 12 | 14 | 21 | | Latency (ms) | <1 | 45 | 32 | 11 |
Conventional Night Vision Goggles (NVGs) rely on image intensifier tubes or active illumination (infrared), which suffer from limited dynamic range, blooming under bright light, and inability to perceive color in low light. We introduce (Enhanced Low-Light Imaging via Neural-Optical Variational Adaptation), a hybrid hardware-software system that redefines NVG performance. The system combines a custom low-noise single-photon avalanche diode (SPAD) array, a liquid-crystal tunable filter for spectral modulation, and a real-time recurrent variational autoencoder (rVAE) trained on a novel photonic distribution dataset. Our method achieves a signal-to-noise ratio (SNR) improvement of 18.3 dB over Gen-3 image intensifiers at 0.001 lux, recovers natural color under starlight, and eliminates halo artifacts. We present the first complete theoretical and engineering treatment of a fully digital, AI-optimized NVG system—enabling pilots, soldiers, and astronomers to see near-daylight quality at night.
This is just a draft feature, and the actual specifications and features of Elli Nova NVG may vary depending on the manufacturer's goals and requirements.
[4] US Army CERDEC. "Performance standards for night vision goggles." MIL-STD-3009G, 2022.
A. Ellington, L. Nováková, & J. G. Vann (Fictional Affiliations: MIT Media Lab, Fraunhofer IOSB, and DARPA DSO)
