Who should attend?
Managers involved in infrastructure sensor deployment decisions with an interest in deploying computer vision-based solutions.
Background
Innovations using computer vision (CV) in infrastructure often remain at the case study stage. Issues such as scalability, funding for long term usage, or suitability for industrial application can limit wide spread adoption of new and promising technologies.
Recent innovations in computer vision solutions have been very attractive for their accessibility and potential benefit. Deep Learning techniques are very popular in CV and can be found in applications from self-driving cars to cancer detection. Projects in construction have tried to emulate these successes, but despite returning interesting results early on, these AI techniques are known to be expensive when considering robust usage.
Currently, there are too many projects in construction trying to rely solely on AI, while conventional computer vision is not properly considered. Each challenge can have a unique answer, it is unlikely that one solution fits all. This is especially true in construction and asset management, where funding can be limited: the technologies not only need to be smart with the data, but with the budget as well!
Imaging techniques can be complex and are widely applied, from smartphone cameras to satellites, so considering their use on a project can appear overwhelming. They are often used as “black boxes”, where AI is expected to work exactly as intended. However, smarter and more adapted solutions might be readily available if we have the tools to open these “boxes”.
Workshop description
In this online interactive workshop we will discuss the different challenges that one can face during the selection, installation and the processing of computer vision techniques. We will cover examples of CV techniques that can be used in construction by addressing limitation and opportunities. Attendees will discuss and develop a thought process in small groups, suggesting a solution for their own challenges.
Leader
The course will be led by CSIC Researcher Vladimir Vilde. Vladimir is researching novel solutions for infrastructure monitoring using digital twin and computer vision techniques.
This event is co-funded by CSIC and the Centre for Digital Built Britain’s (CDBB)/Construction Innovation Hub (CIH).
Agenda
9.30 Welcome and introductions
9.35 Presentation: Computer vison equipment and data processing
Q&A
10.05 Small group activity: Developing a computer vison deployment thought process – selecting equipment
Small group feedback
10.45 Break
11.00 Small group activity: Developing a computer vison deployment thought process – data processing
Small group feedback
11.40 Discussion
12.00 Close
Registration
Please RSVP to csic-admin@eng.cam.ac.uk if you would like to attend.