AZtecAsbestos: a deep learning model approach

Asbestos is a collective term for fibrous minerals. As a material, asbestos used to be widely used in construction (roof tiles etc.) due to its insulating and fireproofing properties. The European Union started banning asbestos in the '80s and a increasing, significant number of countries around the world followed because of health and safety concerns (fine fibres which can be inhaled when the material is damaged, for example from drilling). 

The presence of asbestos must be found early and the material must be contained. In order to confirm asbestos presence on a site, samples are taken to be analysed. The samples are screened for fibres. If fibres are found, then their species has to be determined (asbestos or other material), their length, as well as the total fibre count. This is a laborious & time-consuming process to do manually and also it is very prone to operator bias.

AZtecAsbestos detects fibres based on a deep learning model and it is a fast, user-friendly, reliable solution to detect and collect morphological and compositional data from samples. The data is then classified using the classification scheme that comes with AZtecAsbestos. AZtecAsbestos also supports automation and helps minimise instrument downtime.

Join us and Discover:

• How to automatically collect data from fibres using AZtecAsbestos 
• How AZtecAsbestos is easy to use and deploy across multiple sites for consistent screening of samples for asbestos