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Nabil Belbachir

Nabil Belbachir

Research Director Smart Instrumentation and Industrial Testing

nabe@norceresearch.no
+47 401 08 137
Jon Lilletuns vei 9 H, 3. et, 4879 Grimstad

Nabil Belbachir

Division

Energy & Technology

Research themes

Computer Vision
Industrial automation
Remote Inspection
Artificial intelligence
Machine learning

Research Groups

Smart instrumentering og industriell testing

More information about Nabil Belbachir

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Projects
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Projects

SusOffAqua; Unleashing the sustainable value creation potential of offshore ocean aquaculture

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Projects

Next Generation 3D Machine Vision with Embedded Visual Computing

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Technology

AI4FISH - AI for sustainability in marine recreational fishing participation: Scalable spatio-temporally resolved ML models

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Publications
Inspection and condition monitoring of large-scale photovoltaic power plants: A review of imaging technologies – Renewable & Sustainable Energy Reviews 2022
A Deep Learning Approach for Automated Fault Detection on Solar Modules Using Image Composites – 2021
Virtual Reality Simulation of Autonomous Solar Plants Inspections with Unmanned Aerial Systems – 2021
Real-Time Detection of Multiple Targets from a Moving 360 Panoramic Imager in the Wild – Lecture Notes in Computer Science (LNCS) 2020
Detection of lameness and mastitis pathogens in milk using visual and olfactory sensing – NORCE Norwegian Research Centre AS 2020
Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda – Communications in Computer and Information Science 2019
Improved Cooperative Stereo Matching for Dynamic Vision Sensors with Ground Truth Evaluation – IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2017
An Event-driven Stereo System for Real-time 360° Panoramic Vision – IEEE transactions on industrial electronics (1982. Print) 2016
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News
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Insight

Lifelong Computing

News

Artificial Vision at NORCE with lifelong visual computing and self-learning capabilities

News

Artificial vision for automated monitoring of coronavirus development in high risk environments

News

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