Intelligent safety helmet based on image recognition
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An image recognition and helmet technology, applied in the field of traffic safety, can solve problems such as danger, achieve low production costs, reduce the probability of accidents, and avoid dangers
Pending Publication Date: 2021-03-16
ZHEJIANG UNIV OF WATER RESOURCES & ELECTRIC POWER
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It can be seen that because of people's psychological effects, sometimes wearing a helmet while riding a bicycle is more dangerous
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Embodiment 1
[0031] like Figure 1-2 As shown, a smart safety helmet based on image recognition includes a helmet body, an image display system arranged on the helmet body, an intelligent lighting system, and a control system arranged in the helmet body, wherein the image Both the display system and the intelligent lighting system are connected with the control system.
[0032] Further as shown in the figure, the control system includes: a raspberry pie 16, an acceleration detection module 17, an arduino 12, a power supply module 18, and the raspberry pie 16 is connected to the acceleration detection module 17, the arduino 12, and a power supply module respectively. 18 connected;
[0033] Further as shown in the figure, the image display system includes: an ultrasonic ranging module, the ultrasonic ranging module includes a first ultrasonic ranging module 1 arranged at the front end of the helmet body, and arranged at both sides of the helmet body The second ultrasonic ranging module 6, ...
Embodiment 2
[0043] like Figure 1-2 As shown, a smart safety helmet based on image recognition includes a helmet body, an image display system arranged on the helmet body, an intelligent lighting system, and a control system arranged in the helmet body, wherein the image Both the display system and the intelligent lighting system are connected with the control system.
[0044] Further as shown in the figure, the control system includes: a raspberry pie 16, an acceleration detection module 17, an arduino 12, a power supply module 18, and the raspberry pie 16 is connected to the acceleration detection module 17, the arduino 12, and a power supply module respectively. 18 connected;
[0045] Further as shown in the figure, the image display system includes: an ultrasonic ranging module, the ultrasonic ranging module includes a first ultrasonic ranging module 1 arranged at the front end of the helmet body, and arranged at both sides of the helmet body The second ultrasonic ranging module 6, ...
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Abstract
An intelligent safety helmet based on image recognition comprises a helmet body, an image display system, an intelligent lighting system and a control system, the image display system and the intelligent lighting system are arranged on the helmet body, the control system is arranged in the helmet body, and the image display system and the intelligent lighting system are both connected with the control system. The control system comprises a Raspberry Pi, an acceleration detection module, an arduino and a power supply module, and the Raspberry Pi is connected with the acceleration detection module, the arduino and the power supply module; the image display system comprises a camera, an ultrasonic ranging module, a GPS module and an LCD display screen, the LCD display screen is connected withthe Raspberry Pi through an spi protocol, and therefore the Raspberry Pi processes image data collected by the camera and the ultrasonic ranging module and displays the image data through the LCD display screen.
Description
technical field [0001] The invention relates to the field of traffic safety, in particular to an image recognition-based intelligent safety helmet. [0002] technical background [0003] As we all know, for electric vehicle drivers, helmets are equivalent to the seat belts worn by motor vehicle drivers. They are the last line of defense when people encounter danger, and their importance is self-evident. According to statistics, motorcycles, electric bicycles, and cars are the vehicles that cause the most deaths in traffic accidents, and about 80% of fatal accidents involving motorcycles and electric bicycles are caused by craniocerebral injuries. When an accident occurs, the riding helmet can absorb most of the impact force and play a protective role in buffering and shock absorption, which can reduce the proportion of injured by 70%, and the mortality rate by 40%. 2.5 times that of a helmet, and the fatal injury is 1.5 times that of wearing a helmet. For electric bicycle d...
Claims
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Application Information
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