Object Detection at Construction Sites
Background
The construction industry is a vital part of our modern world, but it faces challenges due to various disruptions like weather, traffic congestion, breakdowns, and diseases. Even minor disruptions can cause costly delays, project cancellations, and increased emissions, affecting both the environment and project efficiency. Enter ECOLOGIC, short for Emission Control and Logistics Optimization for Green Infrastructure Construction, is on a mission to transform the Dutch construction logistics sector.
By harnessing the power of data-driven insights and advanced AI analysis techniques through a real-time Carbon Digital Twin. Imagine a virtual mirror that reflects the carbon footprint of construction operations, allowing us to anticipate and adapt to challenges even before they occur. The general approach consists of the "Triple A": Acquire (collect and analyze data), Anticipate (predict) and Adapt (adapt to situations). You will have the opportunity to collaborate with some industry partners and real stakeholders, as this project is part of a larger sustainability-driven initiative ECOLOGIC (link).
Task
One or more of the following tasks:
- Data Collection & Analysis: Use advanced cameras and sensors at construction sites to gather real-time data, providing a comprehensive understanding of the disruptions and emissions occurring on-site.
- Method Exploration: Examine the feasibility of current approaches. Review and study existing methods to present a consolidated survey or even enhance these methodologies, setting a new benchmark in the industry or academia.
- Innovate & Ideate: If the concept of a Digital Twin excites your neurons and you're brimming with fresh ideas (perhaps related to sensor technologies or AI algorithms), we eagerly invite you to bring your innovative vision to our table.
WORK
40% theory, 40% implementation (e.g., modelling and programming), 20% writing (numbers are approximations)
Contact:
Rob Bemthuis (r.h.bemthuis@utwente.nl)