Atlas camera optimisation suite

Algolux presented a research paper at CVPR 2020, describing an approach applying a stochastic optimisation method to the problem of optimal hardware-software co-design of cameras and computer vision algorithms

Reconstruction of traffic signs with high-resolution colour non-line-of-sight imaging using conventional CMOS cameras sensors

Computer vision for seeing around corners presented at CVPR

Carnegie Mellon University showed a non-line-of-sight imaging technique able to compute millimetre- and micrometre-scale shapes of curved objects


Algolux, Inc. today announced CRISP-ML, the first machine learning platform to automate the complex optimization of vision systems. The platform’s advanced technology and architecture provide a unique advantage to both experienced and novice computer vision teams in addressing the growing cost, expertise, and time to market challenges they face in optimizing their systems.

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