SenseAI - AI-driven compressed image acquisition

从卫星到闭路电视再到CT扫描，各种传感系统都变得越来越复杂，但在这样做的过程中，它们产生的数据比以往任何时候都多，这给带宽、数据分析和存储带来了更多的挑战。SenseAI是利物浦大学的一套专利技术，专门为克服这些严重的限制而开发。核心是“二次采样”方法，它利用数据中的冗余，只允许从测量的子集形成完整的图像和光谱，这意味着只需一小部分时间或辐射曝光(低至1%)就可以获取、重建和分析高保真图像。这种方法起源于电子显微镜领域(利物浦大学拥有世界级的团队和设施)，这些挑战严重限制了使用，而对样品的光束损坏也是一个关键问题。通过icure探索过程，发现了该应用程序的其他未来市场，特别是医学成像(X射线、CT、核磁共振、核磁共振和超声波)以及闭路电视等安全领域以及机载传感器和卫星成像等军事领域。通过这个项目，SenseAI寻求开发企业级软件，在许多领域加速和民主化图像处理，并在分析、健康筛查和安全方面释放更多可能性

From satellites to CCTV to CT-scans, sensing systems of all kinds are becoming ever more sophisticated, but in doing so they are generating more data than ever, and creating ever more challenges as a result for bandwidth, data analysis and storage.SenseAI is a suite of patented technologies from the University of Liverpool that was developed from the ground-up specially to overcome these drastic limitations. At the core are 'subsampling' methods which exploit redundancy within data, and allow entire images and spectra to be formed from only a subset of measurements, meaning that hi-fidelity images can be acquired, reconstructed, and analysed using only a fraction of the time or radiation exposure (low as 1%).It originated from the field of Electron Microscopy (where the University of Liverpool has a world-class team and facilities) and where these challenges severely restrict usage, and beam damage to samples is also a key problem. Through the ICURe Explore process, other future markets for the application were discovered, in particular medical imaging (X-Ray, CT, NMR, MRI and ultrasound) as well as for security such as CCTV and military such as airborne sensors and satellite imaging. Though this project, SenseAI seeks to develop enterprise-grade software, to speed up and democratise image processing within many fields, and unlock more possibilities in analysis, health screening and security