LED lighting for improving trip object detection for a walk-thru roof bolter

Sammarco, John J.; MacDonald, Brendan D.; Demich, Brendan; Rubinstein, Elaine N.; Martell, Max J.

doi:10.1177/1477153518783816

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…This does not infer that the Saturn luminaires have no merit for location 1. A prior study concerning trip object detection at location 1 indicated that the Saturn enabled drastic differences in the ability of people to see the trip hazards, as quantified by trip object miss rates that were 41.7% with the CFL compared with only 0.3% with the Saturn [20].…”

Section: Discussionmentioning

confidence: 99%

“…There was up to a 48% reduction in average trip detection time compared with the roof bolter's standard lighting. More importantly, the Saturn trip object miss rates were < 0.5% for all age groups in contrast to the standard lighting that ranged from 32.5% for the youngest group to 50.4% for the oldest group [20]. Therefore, the primary objective of the present study was to determine if the Saturn luminaire can reduce discomfort and disability glare as determined by tests conducted with 30 participants.…”

Section: Introductionmentioning

confidence: 86%

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LED Area Lighting to Reduce Glare for Roof Bolter Operators

Sammarco

Mayton

Rubinstein

2020

Mining, Metallurgy & Exploration

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Researchers from the National Institute for Occupational Safety and Health (NIOSH) developed a light-emitting diode (LED) area luminaire called the Saturn and conducted a laboratory study using a Fletcher High Dual-boom Mast Feed (HDDR) roof bolting machine. The Saturn luminaire was designed to (1) enhance floor illumination to enable better detection of trip hazards in the interior spaces of a roof bolter and (2) reduce glare that has typically been an issue of concern on roof bolters. This paper reports on the results of achieving the second objective. The existing roof bolter lighting was the baseline and was compared with three versions of the Saturn luminaire relative to light intensity (100%, 75%, and 50%). Discomfort and disability glare data were obtained from 30 participants that comprised three age groups. Discomfort glare perceptions were obtained using the De Boer rating scale, and disability glare was quantified by using Mars Letter Contrast Sensitivity tests. Discomfort glare was reduced at least 3 levels with all Saturn versions. Also, a predictive model was used to estimate discomfort glare, and the results were similar. Disability glare was the least for the Saturn's 50% intensity, and all Saturn versions had significantly less disability glare than with the baseline lighting. Veiling luminance was calculated and used as another indicator of disability glare. Veiling luminance was 28 to 42 times greater with the baseline lighting as compared with that of the Saturn lighting. Lastly, visibility levels were calculated. The Saturn versions were 4 to 6.5 times better in terms of visibility level.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 86%

LED Area Lighting to Reduce Glare for Roof Bolter Operators

Sammarco

Mayton

Rubinstein

2020

Mining, Metallurgy & Exploration

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“…Many industries utilize illumination techniques to enhance image capture methods. [8][9][10] Furthermore, it is commonplace for a human inspector to vary illumination (likely using a flashlight) during concrete inspections, but has not been extensively explored in automated inspections.…”

Section: Introductionmentioning

confidence: 99%

Robotic concrete inspection with illumination-enhancement

McAlorum

Perry

Dow

et al. 2023

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023

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Existing automated concrete inspection methods are intractable: capturing images under ambient conditions which can vary substantially. Furthermore, an opportunity may have been overlooked: utilizing illumination techniques to enhance defect contrast during imaging which may improve automatic defect detection accuracy. In this work, we present a robotic-mountable lighting apparatus that implements contrast enhancing illumination techniques in an automated package in order to improve crack detection and classification in concrete. Geometrical lighting techniques; directional and angled, were tested on three cracked concrete slab samples. Results from blind/referenceless image spatial quality evaluation (BRISQUE) show that both directional and varied angled lighting influence the quality in different associated regions in an image. Furthermore, the region-based crack detection algorithm Faster R-CNN attained a higher accuracy when images were enhanced with directional lighting during all samples tested. The direction of highest accuracy was not consistent over samples, and is likely dependant on features such as crack location, width, orientation etc. This emphasises the importance of adaptive lighting: illuminating the surface with the most suitable conditions based on an initial observation of the feature or defect. This system represents the initial step in a fully-automated and optimised concrete inspection system capable of defect capture, classification, localization and segmentation.

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