Artificial Intelligence Laboratory

Democratizing Artificial Intelligence and Robotics.

Deep Batch Sorting

We use a mixture of novel deep neural networks approaches and naive machine learning tools to provide a generic framework for fruit and vegetables detection, tracking and sorting into quality levels.
The final step is able to find a series of skin defects and diseses and classify the product accordingly.

Monocular Perception

We developed a series of tools for autonomous vehicles that uses single camera percetion.
We are able to plan and make decisions using predicted depth, flow and instance segmentations all from a single image.


Our systems applied to microscope image of capillary blood is able to classify the single cells and to find common diseases such as malaria and leukemia.
We are also working on other medical issues such as predicting motor impairment and detecting potentially hazardous skin lesions.

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