RETRACTED: Face detection based on open Cl design and image processing technology

Liu, Qiong; Peng, Hao; Chen, Jifeng; Yang, Shun

doi:10.1016/j.micpro.2020.103745

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…Due to the high popularity of ice and snow tourism in Harbin at the end of 2023, the passenger throughput of the airport has increased significantly, and Harbin Taiping Airport has introduced a face detection [1] and recognition system to improve the efficiency of security inspection [2] . However, due to the technical limitations of the system, when face recognition [3] increases in the flow of people, the detection speed is slow, the passenger queue increases, and the waiting time is too long; Face recognition errors occur many times, and the identity of passengers needs to be reviewed several times, which greatly reduces the sense of passenger experience. And because most of the existing access control equipment is outdated and not intuitive.…”

Section: Introductionmentioning

confidence: 99%

Design and application of airport face image detection system

Li,

Ding

2024

International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024)

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Section: Introductionmentioning

confidence: 99%

Design and application of airport face image detection system

Li,

Ding

2024

International Conference on Remote Sensing Technology and Survey Mapping (RSTSM 2024)

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“…In the aspect of image processing, Liu Q studies the image restoration method based on chain code. The basic idea is to use the relative position between adjacent pixels to classify pixels, to determine which line segments between pixels need to be filled [1]. Hou J proposed a filling algorithm based on chain code and combining the advantages of boundary point parity check and region growing method [2].…”

Section: Introductionmentioning

confidence: 99%

Wireless Energy Transmission System for Capsule Endoscopy Based on Image Processing Technology

2022

FMSR

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The current capsule endoscopy power supply generally uses a battery, which has security risks and will affect the efficiency of capsule endoscopy to a large extent. Therefore, this paper constructs a wireless energy transmission system for capsule endoscopy based on high power and low loss transmission of image processing technology. By improving the merging mode of image processing, image processing is combined with wireless transmission to achieve efficient image processing in wireless transmission. Given the two-dimensional structure of the image, this paper also configures the block in the kernel as a two-dimensional structure. To obtain the best energy transfer performance, this paper tests all the possible combinations of the two dimensions. Then point-to-point high-frequency mode is used for inductive transmission of energy. Research shows that the wireless energy transmission system based on image processing technology can transmit energy in the frequency of 50 Hz-60 Hz, the loss rate is between 11% -19%, and the overall efficiency has small fluctuations in different modes. Compared with wired power transmission, this system has only a small loss increase, but its efficiency is more than 30% higher than that of battery. And after 100 groups of image testing, this system takes a short time and can meet the wireless power transmission effect of capsule endoscopy.

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