Paper
19 October 2022 Dormitory food delivery smart car
Xinquan Huang
Author Affiliations +
Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122943L (2022) https://doi.org/10.1117/12.2639733
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China
Abstract
This paper designs a smart car that can automatically deliver meals in dormitories, isolated hotels and other scenarios. This system uses i.MX RT1064 as the main controller, and completes the route tracking and room number recognition of the smart car through the MT9V034 camera and the OpenART mini visual sensor module respectively. The target detection method is the SSD algorithm in the one-stage method. After optimization, the recognition rate is as high as 90%, which can successfully complete the meal delivery task. This system greatly reduces the risk of human-to-human contact, reduces the probability of contracting COVID-19, and contributes to epidemic prevention and control measures to minimize risks.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xinquan Huang "Dormitory food delivery smart car", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122943L (19 October 2022); https://doi.org/10.1117/12.2639733
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KEYWORDS
Target detection

Detection and tracking algorithms

Power supplies

Target recognition

Edge detection

Sensors

Control systems

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