Revolutionizing Imaging: The Power of DeepLux's ISP

AI Image Signal Processor

DeepLux is transforming imaging with advanced deep learning and computational photography. Our next-generation AI Image Signal Processor overcomes the limitations of traditional ISPs, delivering exceptional denoising and real-time HD video quality in low-light environments. From medical endoscopes to security and automotive cameras, DeepLux ensures sharper imaging without the need for costly, power-intensive hardware.

(based on Preston’s description of ISP, rephrased for website use)

(chatGPT from slide for website use)

(chatGPT from slide for website use)

  • Seamless ISP Pipeline: Maintains the traditional ISP workflow while introducing cutting-edge optimizations.

  • Powered by Neural Networks: Replaces bottlenecks with efficient, compact deep neural networks for superior processing.

  • Rooted in Physics: Engineered with an understanding of photon behavior, ensuring precision and accuracy.

  • Standalone Compactness: Fits on an independent ASIC, making it lightweight yet powerful.

Key Features of SLIM ISP

Designed for the Future of Imaging

(chatGPT from slide for website use)

  • Real-Time Video Capability: Fast enough for live imaging with no lag.

  • Unmatched Low-Light Quality: Achieves state-of-the-art (SOTA) clarity in even the most challenging lighting conditions.

  • Adaptability for Edge Cases: Optimized for the most demanding imaging scenarios using in-house simulation tools.

Performance That Sets a New Standard

SLIM ISP is purpose-built for industries that demand reliability and excellence in imaging, including automotive, healthcare, and consumer electronics. Its innovative approach ensures flexibility, scalability, and next-generation performance.

(comparison image placeholder)

Revolutionizing Training Data: The Power of Physics-Based Image Simulation

Low-light & weather simulator

At DeepLux, we know that the power of AI lies in the quality of its training data. That’s why we’re developing cutting-edge simulation tools to enhance visual clarity and optimize performance for downstream tasks like object detection. For example, our innovative Rain Simulator uses physics-based modeling to transform ideal datasets—like images captured on a sunny day—into realistic rainy-night scenarios. This approach ensures our models are prepared for the challenges of real-world environments, delivering unmatched accuracy and adaptability.

(based on Preston’s description of ISP, rephrased for website use)

Our physics-based lighting level simulator is a critical key towards developing robust training datasets that go beyond simple brightness/contrast adjustments.

  • Reduce data collection costs

  • Improve edge case performance

  • Physics-based

  • Room to add adverse condition simulation: haze/turbulence/fog

Computational Photography Custom Solutions

At DeepLux, we combine the latest advancements in Deep Learning, Photon Physics, and Industry Image Pipelines to create groundbreaking solutions in imaging technology. By seamlessly integrating expertise from these core domains, we develop innovative products that tackle complex challenges in image capture and processing. Whether you're looking to enhance image clarity or push the boundaries of computational photography, DeepLux is here to partner with you and deliver state-of-the-art results.

(based on Preston’s description of product, rephrased for website use)