Deep Learning Based Thermal Object Recognition under Different Illumination Conditions

Goel, Rohini; Sharma, Avinash; Kapoor, Rajiv

doi:10.1109/icesc51422.2021.9532715

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…The extension to the case of buildings seems very promising, especially in the case of masonry structures. As in the case of photomodeling, the use of AI technologies can lead to greater precision of analysis in non-ideal conditions such as those of variable lighting conditions [22]. Furthermore, if one thinks of the very large scale, a whole series of very interesting studies in the field of biology already exist [23] and whose principles can easily be applied to the surveillance and creation of databases at an urban and structural level [24].…”

Section: Thermal Cameramentioning

confidence: 99%

A Perspective on AI-Based Image Analysis and Utilization Technologies in Building Engineering: Recent Developments and New Directions

2023

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Artificial Intelligence (AI) is a trending topic in many research areas. In recent years, even building, civil, and structural engineering have also started to face with several new techniques and technologies belonging to this field, such as smart algorithms, big data analysis, deep learning practices, etc. This perspective paper collects the last developments on the use of AI in building engineering, highlighting what the authors consider the most stimulating scientific advancements of recent years, with a specific interest in the acquisition and processing of photographic surveys. Specifically, the authors want to focus both on the applications of artificial intelligence in the field of building engineering, as well as on the evolution of recently widespread technological equipment and tools, emphasizing their mutual integration. Therefore, seven macro-categories have been identified where these issues are addressed: photomodeling; thermal imaging; object recognition; inspections assisted by UAVs; FEM and BIM implementation; structural monitoring; and damage identification. For each category, the main new innovations and the leading research perspectives are highlighted. The article closes with a brief discussion of the primary results and a viewpoint for future lines of research.

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Section: Thermal Cameramentioning

confidence: 99%

A Perspective on AI-Based Image Analysis and Utilization Technologies in Building Engineering: Recent Developments and New Directions

2023

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Flexible thermal camera solution for Smart city people detection and counting

Collini,

Palesi,

Nesi

et al. 2023

Multimed Tools Appl

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Tourism management plays an important role in the context of Smart Cities. In this work, we have used thermal cameras for the development of an Object Detection solution in pedestrian areas. The solution can classify people, bikes, strollers, and count people in Real-Time by using telephoto and wide-angle thermal cameras, in hot squares where there is a relevant number of people passing by. This work has improved FASTER-R-CNN and YOLOv5 architectures with new data sets and fine-tuning approaches to enhance mean average precision and flexibility whether compared to state of the art solutions. Both top-down and bottom-up training adaptation approaches have been assessed in order to demonstrate that the proposed bottom-up approach can provide better results. Results have overcome the state-of-the-art in terms of mean Average Precision in counting (i) for relevant number of people in the scene (removing the limitation of previous state-of-the-art solutions that were set to provide good precision up to 10 people) and (ii) in terms of flexibility with respect to different kinds of camera and resolutions. The resulting model can produce results also when executed on thermal camera and in Real-Time on industrial PC of mid-level. The proposed solution has been developed and validated in the framework of the Herit-Data EC project and it has exploited the Snap4City platform for the final collection of data results, monitoring and their publication on real time dashboards.

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Bi-YOLOv8 Based Safety Detection Algorithm in Power Plant Environment

Yang,

Zhou

2023

2023 China Automation Congress (CAC)

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Deep Learning Based Thermal Object Recognition under Different Illumination Conditions

Cited by 4 publications

References 26 publications

A Perspective on AI-Based Image Analysis and Utilization Technologies in Building Engineering: Recent Developments and New Directions

A Perspective on AI-Based Image Analysis and Utilization Technologies in Building Engineering: Recent Developments and New Directions

Flexible thermal camera solution for Smart city people detection and counting

Bi-YOLOv8 Based Safety Detection Algorithm in Power Plant Environment

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