Driving recorder based on Internet of Things

Abstract

The invention relates to the technical field of driving recording and monitoring, in particular to a driving recorder based on Internet of Things. The driving recorder comprises a core processing unit, a camera, a GPS positioning device, an acceleration sensor, a supercapacitor, a wireless communication module, an Internet of Things terminal, an Internet of Things server, cloud storage equipment, a human face camera and a voice announcing device, wherein the Internet of Things terminal is connected with the Internet of Things server; the Internet of Things server is connected with the cloud storage equipment; the core processing unit comprises an ISP image processing device, a human face recognizing operational module, a human eye recognizing operational module and a PERCLOS operational module; the human face camera is connected with the ISP image processing device; the ISP image processing device is sequentially connected with the human face recognizing operational module, the human eye recognizing operational module and the PERCLOS operational module; the PERCLOS operational module is connected with the voice announcing device. The driving recorder has the advantages that real-time online transmission and storage of large-capacity and large-volume data can be achieved, and unnormative driving states can be judged.

Description

technical field [0001] The invention relates to the technical field of driving record monitoring, in particular to a driving recorder based on the Internet of Things. Background technique [0002] The Internet of Things technology, which connects everyday things to the Internet, is developing rapidly and is entering the age of the home. Using smartphones and tablets allows people to monitor anytime, anywhere. Most of the existing driving record monitoring devices include a camera, an ARM processor and a memory, and the camera of the ARM processor stores the collected driving images into the memory for subsequent query or real-time output through CVBS. Due to the limited capacity of the memory, the camera data storage adopts the principle of overflow when it is full, and deletes the first stored data according to the time sequence to make room for new data. Moreover, most of the existing driving recorders only capture images of the environment outside the car, but cannot id...

AI Technical Summary

Problems solved by technology

Moreover, most of the existing driving recorders only capture images of the environment outside the car, but cannot identify the inside of the car, such as the driver's sitting posture, the driver's state while driving, etc. In fact, many traffic accidents are precisely Drivers do not regulate themselves according to driving requirements, such as driving on the phone, driving, smoking, fatigue driving, etc. For this reason, the existing driving recorder still needs to be improved in terms of its functional structure

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