TC-YOLOv5: rapid detection of floating debris on raspberry Pi 4B

Li, Shun; Liu, Shubo; Cai, Zheren; Liu, Yuan; Chen, Geng; Tu, Guoqing

doi:10.1007/s11554-023-01265-z

Cited by 9 publications

(6 citation statements)

References 32 publications

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“…The acquired image was taken in an orthogonal view, which is optimal for minimizing distortions caused by the perspective effect. However, studies (e.g., [33,34,[48][49][50]) indicate that this is not a necessary condition, and it is possible to obtain reliable results without orthorectification. Utilizing cameras permanently installed in the technical infrastructure of a facility is possible.…”

Section: Discussionmentioning

confidence: 99%

The Use of UAV for Measuring the Morphology of Ice Cover on the Surface of a River: A Case Study of the Low Head Dam and Fishway Inlet Area in the Odra River

Błotnicki,

Jarzembowski,

Gruszczyński

et al. 2023

Water

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The application of UAV to acquire data on the morphometry of frazil ice floe in motion is demonstrated in the measurements conducted in the area of the Wrocław Water Junction at the Opatowice weir on the Odra River (Poland). Image processing was performed using open-source software dedicated to image analysis. The methodology presented in the publication offers a cost-effective and low-overhead technique for describing ice phenomena in lowland rivers. The focus of the methodology was on measuring the area, average size, perimeter, and circularity of frazil ice floe. The measurements were carried out for individual frames captured by a UAV, and the results were analyzed using statistical techniques. In prior research, the team effectively assessed ice velocity on an identical test sample. Deriving the average velocity, surface area, and fundamental morphological traits of frazil ice facilitates the automated segmentation, classification, and prediction of potential risks related to ice blockages on water routes. These risks encompass potential waterway obstructions, as well as infrastructure impairments, and may pose a danger to human safety.

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Section: Discussionmentioning

confidence: 99%

The Use of UAV for Measuring the Morphology of Ice Cover on the Surface of a River: A Case Study of the Low Head Dam and Fishway Inlet Area in the Odra River

Błotnicki,

Jarzembowski,

Gruszczyński

et al. 2023

Water

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“…The neck takes the feature maps extracted by the backbone and generates a pyramid of features at different scales, allowing the network to detect objects at different scales. It performs upsampling in the Feature Pyramid Network (FPN) and downsampling in the Path Aggregation Network (PAN) [ 21 , 40 ]. Head: The YOLOX-Ray architecture’s head, known as the YOLOX decoupled head, is also the same as the YOLOX base.…”

Section: Proposed Methodsmentioning

confidence: 99%

YOLOX-Ray: An Efficient Attention-Based Single-Staged Object Detector Tailored for Industrial Inspections

Raimundo

Pavia

Sebastião

et al. 2023

Sensors

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Industrial inspection is crucial for maintaining quality and safety in industrial processes. Deep learning models have recently demonstrated promising results in such tasks. This paper proposes YOLOX-Ray, an efficient new deep learning architecture tailored for industrial inspection. YOLOX-Ray is based on the You Only Look Once (YOLO) object detection algorithms and integrates the SimAM attention mechanism for improved feature extraction in the Feature Pyramid Network (FPN) and Path Aggregation Network (PAN). Moreover, it also employs the Alpha-IoU cost function for enhanced small-scale object detection. YOLOX-Ray’s performance was assessed in three case studies: hotspot detection, infrastructure crack detection and corrosion detection. The architecture outperforms all other configurations, achieving mAP50 values of 89%, 99.6% and 87.7%, respectively. For the most challenging metric, mAP50:95, the achieved values were 44.7%, 66.1% and 51.8%, respectively. A comparative analysis demonstrated the importance of combining the SimAM attention mechanism with Alpha-IoU loss function for optimal performance. In conclusion, YOLOX-Ray’s ability to detect and to locate multi-scale objects in industrial environments presents new opportunities for effective, efficient and sustainable inspection processes across various industries, revolutionizing the field of industrial inspections.

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“…Liu et al point out that in-ground measurements (for soil nitrogen sensing) using new sensor technology have rarely been attempted, as lab-based validation is unsuitable for practical implementation. 21 For the broader soil and plant sensor market, Yin et al acknowledge the "immature reality of the sensor development and implementation" as one impediment to in-ground real-time sensing. 4 The ability to fabricate non-invasive, low cost, and reliable sensors is paramount to their use in-groundwhich could be addressed through appropriate materials selection.…”

Section: Soil Nutrients and The Role Of Phmentioning

confidence: 99%

Challenges of polymer‐based pH sensing in soil

Ebadati,

Switalska,

Lombi

et al. 2023

Journal of Polymer Science

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It is well established that plants need a range of soil nutrients to grow. In farming, these nutrients are generally added to the soil in the form of fertilizers. However, depending on the soil conditions (such as temperature, water content, pH, and soil type), nutrients may not be in the right form for plant uptake. Determining the availability of nutrients in the soil for plant growth is therefore critical for the yield and productivity of modern farming. A considerable amount of research and knowledge has been developed that shows the importance of the soil pH on the availability (or not) of nutrients. Furthermore, pH plays a crucial role in controlling the availability of potential toxic elements, such as aluminum and manganese. This review article discusses recent research aimed at real‐time and continuous soil pH measurement in‐situ. More specifically, it focuses on the development of polymer materials that will ultimately enable pH measurements for the specific application of in‐ground pH sensing. Given the breadth of the polymeric sensor research field, this review has a narrowed focus on optical and electrochemical transduction methods.

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TC-YOLOv5: rapid detection of floating debris on raspberry Pi 4B

Cited by 9 publications

References 32 publications

The Use of UAV for Measuring the Morphology of Ice Cover on the Surface of a River: A Case Study of the Low Head Dam and Fishway Inlet Area in the Odra River

The Use of UAV for Measuring the Morphology of Ice Cover on the Surface of a River: A Case Study of the Low Head Dam and Fishway Inlet Area in the Odra River

YOLOX-Ray: An Efficient Attention-Based Single-Staged Object Detector Tailored for Industrial Inspections

Challenges of polymer‐based pH sensing in soil

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