Chemical synthesis is state-of-the-art, and, therefore, it is generally based on chemical
intuition or experience of researchers. The upgraded paradigm that incorporates automation …

This work presents a machine learning approach for the computer vision-based recognition
of materials inside vessels in the chemistry lab and other settings. In addition, we release a …

Physics perception very often faces the problem that only limited data or partial
measurements on the scene are available. In this work, we propose a strategy to learn the …

The increasing integration of software and automation in modern chemical laboratories
prompts special emphasis on two important skills in the chemistry classroom. First, students …

Chemists spend an inordinate amount of time performing low-level tasks based on visual
observation. Camera-enabled laboratory equipment in conversation with computer vision …

Convolutional neural networks have emerged as the leading method for the classification
and segmentation of images. In some cases, it is desirable to focus the attention of the net …

Smart manufacturing in the so-called Industry 4.0 age pushes the research and
development of laboratory-scale proof of concepts before its deployment in pilots and real …

We present TransProteus, a dataset, and methods for predicting the 3D structure,
annotations and properties of materials inside transparent vessels from a single image …

In the process of oil exploitation, the water level of an oil well can be predicted and the
position of reservoir can be estimated by measuring the water content of crude oil, with …

Although craft and home brewing have fueled the beer renaissance in the last decade,
affordable, reliable, and simple sensing equipment for such breweries is limited. Thus, this …