Face recognition system based on low-consumption embedded platform

Abstract

The invention relates to a face recognition system based on a low-consumption embedded platform. The face recognition system based on the low-consumption embedded platform comprises an ARM (advanced RISC machines) core processing module, a video acquisition module, a display module and a peripheral data transmission interface. The ARM core processing module is respectively connected with the video acquisition module, the display module and the peripheral data transmission interface. The video acquisition module acquires video signals and transmits the signals to the ARM core processing module. The ARM core processing module converts the video signals into image signals, then performs face detection, eye positioning, face image standardization, feature extraction and recognitive comparison to the image signals, and displays detection and recognition results on the display module, or outputs the results through the peripheral data transmission interface. Compared with the prior art, the face recognition system based on the low-consumption embedded platform has the advantages of low power consumption, high computing speed, high recognition precision, wide range of application and the like.

Description

technical field [0001] The invention relates to an image recognition technology, in particular to a face recognition system based on a low-power embedded platform. Background technique [0002] With the development of information technology, face recognition technology has gradually become mature and practical, and has been widely used in security fields such as video surveillance, access control systems, attendance systems, and customs clearance systems. At present, the hardware platforms for face recognition include PCs and embedded hardware systems. The shortcomings of PCs such as large size, high cost, high power consumption, and inconvenient portability have greatly restricted the application of face recognition. With the development of technology, the computing speed of the embedded platform is getting faster and smaller, and the power consumption and cost are getting lower and lower, so that the development of a portable face recognition system has sufficient hardwar...

AI Technical Summary

Problems solved by technology

The current embedded face recognition systems are based on visible light and near-infrared technology. Visible light face recognition is greatly affected by changes in external light, while near-infrared face recognition systems can effectively eliminate the impact of external light changes, but near-infrared cameras The fill light consumes more power

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