2014
DOI: 10.14257/ijmue.2014.9.4.24
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Development of Pallet Recognition System using Kinect Camera

Abstract: This study proposes a new pallet recognition system using Kinect camera. Depth image of Kinect camera is produced from the infrared ray data of random dot type. This system was applied to an automated guided vehicle(AGV) to recognize the pallet in various conditions. A modularized hardware and software of the pallet recognition system was developed. The performance of the developed pallet recognition system was tested through experiments under various environment, and it show good performance.

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Cited by 5 publications
(3 citation statements)
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“…This result is relevant, compared to related works where values of precision, specificity, and sensitivity are lower than those obtained by this model. In contrast to the proposed system, some works present the use of a device that must be implemented directly in the patient, causing discomfort or rejection, even some prototypes require a power supply, which generates inconvenience to patients [24,46]. Based on the results, it is evident that the system works and is suitable for detecting falls in people.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This result is relevant, compared to related works where values of precision, specificity, and sensitivity are lower than those obtained by this model. In contrast to the proposed system, some works present the use of a device that must be implemented directly in the patient, causing discomfort or rejection, even some prototypes require a power supply, which generates inconvenience to patients [24,46]. Based on the results, it is evident that the system works and is suitable for detecting falls in people.…”
Section: Discussionmentioning
confidence: 99%
“…The works reviewed suggest that the use of AI algorithms allows falls to be detected with low computational cost and costs are reduced by having the adaptability to commonly used cameras [23]. However, other works analyze the hardware necessary for the implementation of this type of system and recommend the use of cameras with better technical characteristics to obtain high depth values [24]. An example is the Kinect cameras, their high quality simplifies the task of bottom extraction and ground detection [25].…”
Section: State Of the Mattermentioning
confidence: 99%
“…Vision-based systems. A number of vision-based approaches making use of different features extracted from images to detect and track pallets have been presented, and examples include the work described in [11,13,29,49,57,62].…”
Section: Related Workmentioning
confidence: 99%