In order to improve the security of home residence, this paper studiesand designs an intelligent home security alarm system, using STC89C51single chip microcomputer as the main controller of the security system,and re...In order to improve the security of home residence, this paper studiesand designs an intelligent home security alarm system, using STC89C51single chip microcomputer as the main controller of the security system,and real-time monitoring by controlling the human pyroelectric infraredsensor and smoke sensor in the case of strangers invading the securityrange and showing signs of fire. Once the abnormal situation is found, theintelligent home security alarm system will start the acousto-optic alarmprompted by the LED lamp and pass through the information processingsystem of the GSM module. Send an abnormal text message to the user ofthe security system at the first time face, and finally realize the purpose ofmodern intelligent home security alarm.展开更多
As an essential part of modern smart manufacturing,road transport with large and heavy trucks has in-creased dramatically.Due to the inside wheel difference in the process of turning,there is a considerable safety haz...As an essential part of modern smart manufacturing,road transport with large and heavy trucks has in-creased dramatically.Due to the inside wheel difference in the process of turning,there is a considerable safety hazard in the blind area of the inside wheel difference.In this paper,multiple cameras combined with deep learning algorithms are introduced to detect pedestrians in the blind area of wheel error.A scheme of vehicle-pedestrian safety alarm detection system is developed via the integration of YOLOv5 and an improved binocular distance measurement method.The system accurately measures the distance between the truck and nearby pedestrians by utilizing multiple cameras and PP Human recognition,providing real-time safety alerts.The experimental results show that this method significantly reduces distance measurement errors,improves the reliability of pedestrian detection,achieves high accuracy and real-time performance,and thus enhances the safety of trucks in complex traffic environments.展开更多
文摘In order to improve the security of home residence, this paper studiesand designs an intelligent home security alarm system, using STC89C51single chip microcomputer as the main controller of the security system,and real-time monitoring by controlling the human pyroelectric infraredsensor and smoke sensor in the case of strangers invading the securityrange and showing signs of fire. Once the abnormal situation is found, theintelligent home security alarm system will start the acousto-optic alarmprompted by the LED lamp and pass through the information processingsystem of the GSM module. Send an abnormal text message to the user ofthe security system at the first time face, and finally realize the purpose ofmodern intelligent home security alarm.
基金funded by the science and technology Project of Zhejiang Province under Grant No.2023C35088.
文摘As an essential part of modern smart manufacturing,road transport with large and heavy trucks has in-creased dramatically.Due to the inside wheel difference in the process of turning,there is a considerable safety hazard in the blind area of the inside wheel difference.In this paper,multiple cameras combined with deep learning algorithms are introduced to detect pedestrians in the blind area of wheel error.A scheme of vehicle-pedestrian safety alarm detection system is developed via the integration of YOLOv5 and an improved binocular distance measurement method.The system accurately measures the distance between the truck and nearby pedestrians by utilizing multiple cameras and PP Human recognition,providing real-time safety alerts.The experimental results show that this method significantly reduces distance measurement errors,improves the reliability of pedestrian detection,achieves high accuracy and real-time performance,and thus enhances the safety of trucks in complex traffic environments.
