Human Position Detection Based on Depth Camera Image Information in Mechanical Safety
The devices used for human position detection in mechanical safety mainly include safety light curtain, safety laser scanner, safety pad, and vision system. However, these devices may be bypassed when used, and human or equipment cannot be distinguished. To solve this problem, a depth camera is prop...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Advances in Mathematical Physics |
| Online Access: | http://dx.doi.org/10.1155/2022/9170642 |
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| _version_ | 1832566214324387840 |
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| author | Cheng Zhou Dacong Ren Xiangyan Zhang Cungui Yu Likai Ju |
| author_facet | Cheng Zhou Dacong Ren Xiangyan Zhang Cungui Yu Likai Ju |
| author_sort | Cheng Zhou |
| collection | DOAJ |
| description | The devices used for human position detection in mechanical safety mainly include safety light curtain, safety laser scanner, safety pad, and vision system. However, these devices may be bypassed when used, and human or equipment cannot be distinguished. To solve this problem, a depth camera is proposed as a human position detection device in mechanical safety. The process of human position detection based on depth camera image information is given; it mainly includes image information acquisition, human presence detection, and distance measurement. Meanwhile, a human position detection method based on Intel RealSense depth camera and MobileNet-SSD algorithm is proposed and applied to robot safety protection. The result shows that the image information collected by the depth camera can detect the human position in real time, which can replace the existing mechanical safety human position detection device. At the same time, the depth camera can detect only human but not mobile devices and realize the separation and early warning of people and mobile devices. |
| format | Article |
| id | doaj-art-71b2ba9e0e96400fb1a56fb6f1eaafda |
| institution | Kabale University |
| issn | 1687-9139 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Mathematical Physics |
| spelling | doaj-art-71b2ba9e0e96400fb1a56fb6f1eaafda2025-02-03T01:04:44ZengWileyAdvances in Mathematical Physics1687-91392022-01-01202210.1155/2022/9170642Human Position Detection Based on Depth Camera Image Information in Mechanical SafetyCheng Zhou0Dacong Ren1Xiangyan Zhang2Cungui Yu3Likai Ju4School of Mechanical EngineeringSchool of Mechanical EngineeringSchool of Mechanical EngineeringSchool of Mechanical EngineeringSchool of Mechanical EngineeringThe devices used for human position detection in mechanical safety mainly include safety light curtain, safety laser scanner, safety pad, and vision system. However, these devices may be bypassed when used, and human or equipment cannot be distinguished. To solve this problem, a depth camera is proposed as a human position detection device in mechanical safety. The process of human position detection based on depth camera image information is given; it mainly includes image information acquisition, human presence detection, and distance measurement. Meanwhile, a human position detection method based on Intel RealSense depth camera and MobileNet-SSD algorithm is proposed and applied to robot safety protection. The result shows that the image information collected by the depth camera can detect the human position in real time, which can replace the existing mechanical safety human position detection device. At the same time, the depth camera can detect only human but not mobile devices and realize the separation and early warning of people and mobile devices.http://dx.doi.org/10.1155/2022/9170642 |
| spellingShingle | Cheng Zhou Dacong Ren Xiangyan Zhang Cungui Yu Likai Ju Human Position Detection Based on Depth Camera Image Information in Mechanical Safety Advances in Mathematical Physics |
| title | Human Position Detection Based on Depth Camera Image Information in Mechanical Safety |
| title_full | Human Position Detection Based on Depth Camera Image Information in Mechanical Safety |
| title_fullStr | Human Position Detection Based on Depth Camera Image Information in Mechanical Safety |
| title_full_unstemmed | Human Position Detection Based on Depth Camera Image Information in Mechanical Safety |
| title_short | Human Position Detection Based on Depth Camera Image Information in Mechanical Safety |
| title_sort | human position detection based on depth camera image information in mechanical safety |
| url | http://dx.doi.org/10.1155/2022/9170642 |
| work_keys_str_mv | AT chengzhou humanpositiondetectionbasedondepthcameraimageinformationinmechanicalsafety AT dacongren humanpositiondetectionbasedondepthcameraimageinformationinmechanicalsafety AT xiangyanzhang humanpositiondetectionbasedondepthcameraimageinformationinmechanicalsafety AT cunguiyu humanpositiondetectionbasedondepthcameraimageinformationinmechanicalsafety AT likaiju humanpositiondetectionbasedondepthcameraimageinformationinmechanicalsafety |