Challenge

Monitoring people for safety reasons on large construction sites or at large factories is almost impossible with human operators. However, cameras equipped with the right artificial intelligence are able to do this automatically. A worldwide energy company asked Kapernikov to find a way to see whether people were wearing their safety helmets on site.

Role

Kapernikov made use of existing, robust people detection technology, but developed in-house algorithms to classify the detected people into those who are wearing a helmet and those who aren’t.

For both the people detection and helmet classification, Kapernikov used open source neural network architectures. For the training of the classification model, we used a training and a validation set consisting of examples of people wearing helmets and a group not wearing helmets.