Author(s)

Jiaxuan Meng

Beijing University of Civil Engineering & Architecture, School of Mechanical and Electrical and Vehicle Engineering, Beijing, China.

This paper designs a set of semi-automatic intelligent cold chain cargo proximity warning system with wireless data transmission, lightweight Optical Character Recognition identification algorithm framework and electronic label automatic warning as the core technology for cold chain dairy Fast Moving Consumer Goods contractors. In terms of hardware, Pulse Frequency Modulation modulation and demodulation are used as the main technology to realize wireless transmission and reception of equipment, and digital electronic tags are added to warn the same batch of upcoming goods. In terms of software, based on Chinese-ocr algorithm, image preprocessing and recognition methods are studied, and an early warning system is designed. So as to realize semi-automatic early warning of cold chain logistics goods.

Optical Character Recognition, Wireless Signal Transmission, Image Processing, Cold Chain Logistics Managemen, Automatic Early Warning System

Meng, J. (2022) Research on the Early Warning System of Cold Chain Cargo Based on OCR Technology. World Journal of Engineering and Technology, 10, 527-538. doi: 10.4236/wjet.2022.103033.