Upon the situation faced by the two wheeler depending on the conventional power socket, this system was constructed to overcome the dependencies of power since the natural energy can be harvested to produce an electrical energy. This paper aims to develop a wind energy harvesting system to charger an electronic device of 5V during traveling period from a place to another.
#Cloudplayer bluetooth.l voice recognition registration
As a result, the intelligent motorcycle helmet proposed can detect the vehicle registration plate of an approaching large truck/bus in real time within a distance of 5 meters. The accuracy of the vehicle registration plate recognition is up to 75% during the day and 70% at night.
The experimental results show that the intelligent helmet proposed can successfully recognize an image of the vehicle registration plate of a large truck/bus in Taiwan. In total, 600 images of rear-approaching trucks/buses on an actual road from 10 motorcyclists during day and night conditions are used to test the accuracy of the vehicle registration plate recognition. Two large truck/bus vehicle registration plate image recognition modes (day and night) are designed and implemented for the purpose of large truck/bus approach intimation. This paper proposes an intelligent motorcycle helmet that includes two miniature infrared (IR) transceivers, a miniature image sensor (camera), an embedded computation processing (ECP) module, a battery charging module, a microphone, and earphones.
The developed system has produced useful results and will support to reduce the number of accidents reasonably. The accuracy of a helmet worn detection is 86.7%, the alert response rate is 90%, and the accuracy of the GPS tracking system is 60%. The percentage of word error rate on the accuracy of speech recognition is 42.3% in a quiet environment, whereas 61.65% in a The measured value of latency delay from voice communication is 480–520 milli-seconds. The performance of the system is determined through the below results. A latency of the voice communication, word error rate of speech recognition, accuracy on both fall-detection system and GPS tracking system, and the power generation rate of wind power The efficiency and accuracy of the system are evaluated by conducting five different experiments under the following specific parameters. The IoT based VOIP has developed to prevent the rider distraction and thereby the accident rate could be reduced. A rider distraction is one of the main reasons for the motorcycle accidents. It is also implemented the real-time collision detection alert system for motorcyclists through IoT. This paper presents Voice over Internet Protocol communication system for motorcyclists interfaced via speech recognition module.