Datacadabra provides insight into CO2 emissions and biodiversity on construction sites with AI
The construction industry often faces logistical challenges, such as delays due to bad weather, traffic problems or delivery problems. Through the University of Twente s TKI Dinalog project ECOLOGIC we are looking for ways to predict and remedy these challenges faster using smart data technologies. Improving the logistics process leads to reduced emissions on construction sites.
We do this with various project partners. One of those partners is Datacadabra. Pioneering spoke to Vincent Nibbelke (Lead Computer Vision Scientist) & Gert-Jan Naber (Commercial Director & Co-owner) about their contribution in the ECOLOGIC project.
Recognition technology
Datacadabra specialises in advanced AI technology, "We develop Artificial Intelligence that can perform tasks smarter and more efficiently within companies". They also apply this principle within ECOLOGIC. In particular, Datacadabra provides recognition technology to gain more insight into actual CO2 emissions on construction sites. Following on from this, this technology can also provide more insight into biodiversity on a building plot. Think, for example, of bat detection and monitoring.
CCTV cameras and CO2 sensors
Within ECOLOGIC, Datacadabra works closely with BauWatch and Aannemingsmaatschappij Hegeman, among others. Together with partner BauWatch, Datacadabra is looking at how CCTV cameras can be used to monitor vehicles on construction sites. By mapping vehicle movements, they can identify running hours and fit this into a model. They are also experimenting with CO2 sensors that provide data on emissions on construction sites.
With contracting company Hegeman Datacadabra is working on a project to monitor biodiversity using recognition technology. For example, they have started recognising bats in existing buildings. Such information can be very valuable in the early stages of a construction project and help make construction projects more environmentally friendly and minimise disturbances to nature.
When is ECOLOGIC a success?
"We want to make a positive contribution to reducing logistics disruptions, optimising schedules and carrying out construction work more efficiently," say Vincent and Gert-Jan, "If we can achieve that with the help of AI and data-driven insights, ECOLOGIC has succeeded as far as we are concerned."
