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Active Dual Line-Laser Scanning for Depth Imaging of Piled Agricultural Commodities for Itemized Processing Lines.
Ali, Mohamed Amr; Wang, Dongyi; Tao, Yang.
Afiliación
  • Ali MA; Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA.
  • Wang D; Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR 72701, USA.
  • Tao Y; Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA.
Sensors (Basel) ; 24(8)2024 Apr 09.
Article en En | MEDLINE | ID: mdl-38676002
ABSTRACT
The accurate depth imaging of piled products provides essential perception for the automated selection of individual objects that require itemized food processing, such as fish, crabs, or fruit. Traditional depth imaging techniques, such as Time-of-Flight and stereoscopy, lack the necessary depth resolution for imaging small items, such as food commodities. Although structured light methods such as laser triangulation have high depth resolution, they depend on conveyor motion for depth scanning. This manuscript introduces an active dual line-laser scanning system for depth imaging static piled items, such as a pile of crabs on a table, eliminating the need for conveyor motion to generate high-resolution 3D images. This advancement benefits robotic perception for loading individual items from a pile for itemized food processing. Leveraging a unique geometrical configuration and laser redundancy, the dual-laser strategy overcomes occlusions while reconstructing a large field of view (FOV) from a long working distance. We achieved a depth reconstruction MSE of 0.3 mm and an STD of 0.5 mm on a symmetrical pyramid stage. The proposed system demonstrates that laser scanners can produce depth maps of complex items, such as piled Chesapeake Blue Crab and White Button mushrooms. This technology enables 3D perception for automated processing lines and offers broad applicability for quality inspection, sorting, and handling of piled products.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagenología Tridimensional / Rayos Láser Límite: Animals Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagenología Tridimensional / Rayos Láser Límite: Animals Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos